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Jev vs Imajev-4B: published benchmark comparison

Data: JevBench v1.8.11, published 2026-11-15 · method v1.7 (10 s rule), re-scored from the recorded per-decision times

Not in the current release ranking; last published measurement: v1.4.2.2, 2026-09-27T18:49:51+00:00.

Compare Jev-compatible models by separate measures and their measurement conditions. A historical measurement is not a current rank.

Jev and Imajev-4B: published axes and category radars

Pick any two. Radars for the score axes, capability by subject topic and use cases, chance-corrected competence per request type on the open and sealed sets, and competence per tier on each set. Further out is better on every spoke; the link keeps the pair.

  • A: Jev 1.13.0REFERENCE · TypeSafe — Jev — reference (TypeSafe, closed) · Score 71.4 (ranked, not ranked)
  • B: Imajev-4B — Open weights · LLM decoder · Score 67.4 (ranked, not ranked)

The four score axes

Radar: the four score axes, two systemsThe four score axes, Jev 1.13.0 vs Imajev-4B. Intelligence: 63.6 vs 52.2; Calibration: 90.6 vs 80.4; Speed: 91.2 vs 90.6; Cost: 54.7 vs 59.7.50100Intelligence: Jev 1.13.0: 63.6; Imajev-4B: 52.2Intelligence63.6 · 52.2Calibration: Jev 1.13.0: 90.6; Imajev-4B: 80.4Calibration90.6 · 80.4Speed: Jev 1.13.0: 91.2; Imajev-4B: 90.6Speed91.2 · 90.6Cost: Jev 1.13.0: 54.7; Imajev-4B: 59.7Cost54.7 · 59.7
0–100, the values in the table. An axis a system has no published value for is left as a gap (it counts as 0 in the composite).

Capability by subject topic

Imajev-4B: No per-category values are published for this system.

Radar: capability by subject topic, two systemsCapability by subject topic, Jev 1.13.0 vs Imajev-4B. Rules, policy & law: 49.4 vs No per-category values are published for this system.; Coding & software: 64.3 vs No per-category values are published for this system.; Math & numbers: 10.4 vs No per-category values are published for this system.; Finance & commerce: 40.9 vs No per-category values are published for this system.; Support & operations: 48.8 vs No per-category values are published for this system.; Everyday language: 77.5 vs No per-category values are published for this system.; Safety & security: 52.2 vs No per-category values are published for this system.. Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.−1000100Rules, policy & law: Jev 1.13.0: 49.4; Imajev-4B: No measured result — Rules, policy & law: applying written rules: company policies, contracts, regulations, eligibility. 1616 items (151 open, 1465 sealed).Rules, policy& law49.4 · n/aCoding & software: Jev 1.13.0: 64.3; Imajev-4B: No measured result — Coding & software: code, SQL, repositories, developer tools and IT systems. 382 items (62 open, 320 sealed).Coding &software64.3 · n/aMath & numbers: Jev 1.13.0: 10.4; Imajev-4B: No measured result — Math & numbers: a calculation decides the answer: arithmetic, word problems, probability, dates, units. 370 items (37 open, 333 sealed).Math &numbers10.4 · n/aFinance & commerce: Jev 1.13.0: 40.9; Imajev-4B: No measured result — Finance & commerce: money: payments, refunds, invoices, orders, expenses, insurance payouts. 223 items (12 open, 211 sealed).Finance &commerce40.9 · n/aSupport & operations: Jev 1.13.0: 48.8; Imajev-4B: No measured result — Support & operations: support tickets, incidents, logistics, scheduling desks and routing work to a team. 160 items (21 open, 139 sealed).Support &operations48.8 · n/aEveryday language: Jev 1.13.0: 77.5; Imajev-4B: No measured result — Everyday language: short everyday messages: intents, assistant requests, reading a detail out of a text. 145 items (11 open, 134 sealed).Everydaylanguage77.5 · n/aSafety & security: Jev 1.13.0: 52.2; Imajev-4B: No measured result — Safety & security: untrusted or injected instructions, fraud, moderation, access and security triage. 109 items (6 open, 103 sealed).Safety &security52.2 · n/a

Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.

What the decision is about — math and dates, coding, rules, money, support work, everyday messages, safety. Chance-corrected competence per category (0 = at or below chance; negative averages are reported as 0, 100 = perfect), Jev 1.13.0: S+P+L1+L2+L3; Imajev-4B: open+sealed items pooled; every category with at least 15 items is a spoke; points under 30 answered items are hollow and marked n=…. Hover a category for its definition and item count.

Imajev-4B: No per-category values are published for this system.

What each category means · items per category
  • Rules, policy & law — applying written rules: company policies, contracts, regulations, eligibility. 1616 items (151 open / 1465 sealed)
  • Coding & software — code, SQL, repositories, developer tools and IT systems. 382 items (62 open / 320 sealed)
  • Math & numbers — a calculation decides the answer: arithmetic, word problems, probability, dates, units. 370 items (37 open / 333 sealed)
  • Finance & commerce — money: payments, refunds, invoices, orders, expenses, insurance payouts. 223 items (12 open / 211 sealed)
  • Support & operations — support tickets, incidents, logistics, scheduling desks and routing work to a team. 160 items (21 open / 139 sealed)
  • Everyday language — short everyday messages: intents, assistant requests, reading a detail out of a text. 145 items (11 open / 134 sealed)
  • Safety & security — untrusted or injected instructions, fraud, moderation, access and security triage. 109 items (6 open / 103 sealed)

Use cases (TypeSafe categories)

Imajev-4B: No per-category values are published for this system.

Radar: use cases (typesafe categories), two systemsUse cases (TypeSafe categories), Jev 1.13.0 vs Imajev-4B. Model routing: 73.0 vs No per-category values are published for this system.; Legal & compliance: 68.6 vs No per-category values are published for this system.; Customer support: 49.6 vs No per-category values are published for this system.; Other: 40.1 vs No per-category values are published for this system.; E-commerce: 40.5 vs No per-category values are published for this system.; Insurance claims: 46.1 vs No per-category values are published for this system.; Risk assessment: 32.8 vs No per-category values are published for this system.; Financial crime: 35.8 vs No per-category values are published for this system.; Feature extraction: 28.3 vs No per-category values are published for this system.; Lead generation: 49.2 vs No per-category values are published for this system.; Recruiting: 0.0 vs No per-category values are published for this system.; Knowledge graphs: 28.8 vs No per-category values are published for this system.; LLM guardrails: 68.0 vs No per-category values are published for this system.; Moderation: 51.6 vs No per-category values are published for this system.; Code linting: 29.1 vs No per-category values are published for this system.; Search & retrieval: 80.9 vs No per-category values are published for this system.; Science: 21.2 vs No per-category values are published for this system.; Advertising: 16.4 vs No per-category values are published for this system.; Gaming: 5.1 vs No per-category values are published for this system.; Demand forecasting: 0.0 vs No per-category values are published for this system.. Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.−1000100Model routing: Jev 1.13.0: 73.0; Imajev-4B: No measured result — Model routing: deciding which LLM or model tier should handle a prompt; classifying a request's intent, domain, difficulty or risk to pick a model. 524 items (86 open, 438 sealed).Modelrouting73.0 · n/aLegal & compliance: Jev 1.13.0: 68.6; Imajev-4B: No measured result — Legal and compliance: contracts, policies, regulations, eligibility rules, checking documents against written requirements. 515 items (74 open, 441 sealed).Legal &compliance68.6 · n/aCustomer support: Jev 1.13.0: 49.6; Imajev-4B: No measured result — Customer support: classifying tickets and customer intents, urgency, refunds, routing cases to a team, checking support replies. 240 items (37 open, 203 sealed).Customersupport49.6 · n/aOther: Jev 1.13.0: 40.1; Imajev-4B: No measured result — Other: none of the above: general reasoning, arithmetic or date puzzles, everyday assistant requests without a business workflow. 174 items (24 open, 150 sealed).Other40.1 · n/aE-commerce: Jev 1.13.0: 40.5; Imajev-4B: No measured result — E-commerce marketplaces: product listings, product attributes, orders and deliveries, seller catalog policy. 119 items (9 open, 110 sealed).E-commerce40.5 · n/aInsurance claims: Jev 1.13.0: 46.1; Imajev-4B: No measured result — Insurance claims: first-notice-of-loss reports, claim complexity, missing information, claim triage. 119 items (9 open, 110 sealed).Insuranceclaims46.1 · n/aRisk assessment: Jev 1.13.0: 32.8; Imajev-4B: No measured result — Risk assessment: estimating probabilities and severity of risks, incidents, vendor or underwriting risk. 118 items (8 open, 110 sealed).Riskassessment32.8 · n/aFinancial crime: Jev 1.13.0: 35.8; Imajev-4B: No measured result — Financial crime: suspicious transactions, KYC, fraud alerts, entity matching for investigations. 101 items (9 open, 92 sealed).Financialcrime35.8 · n/aFeature extraction: Jev 1.13.0: 28.3; Imajev-4B: No measured result — Feature extraction for predictive modeling: turning natural-language data into probabilistic features or estimates for a downstream prediction. 99 items (5 open, 94 sealed).Featureextraction28.3 · n/aLead generation: Jev 1.13.0: 49.2; Imajev-4B: No measured result — Lead generation: matching companies or inbound messages to an ideal customer profile, buyer intent, prioritising and routing sales leads. 95 items (4 open, 91 sealed).Leadgeneration49.2 · n/aRecruiting: Jev 1.13.0: 0.0; Imajev-4B: No measured result — Recruiting: resumes, applications, interview feedback, matching candidates to roles. 94 items (1 open, 93 sealed).Recruiting0.0 · n/aKnowledge graphs: Jev 1.13.0: 28.8; Imajev-4B: No measured result — Graphs and knowledge graphs: entity types, relationships between records, contradictions between facts, multi-step lookups across linked facts. 94 items (3 open, 91 sealed).Knowledgegraphs28.8 · n/aLLM guardrails: Jev 1.13.0: 68.0; Imajev-4B: No measured result — LLM guardrails: checking LLM inputs, outputs and tool calls: prompt injection, jailbreaks, policy violations, tool-call errors, answer quality. 93 items (5 open, 88 sealed).LLMguardrails68.0 · n/aModeration: Jev 1.13.0: 51.6; Imajev-4B: No measured result — Moderation and trust and safety: user content moderation: toxicity, harassment, spam, unsafe advice, personal data exposure. 93 items (7 open, 86 sealed).Moderation51.6 · n/aCode linting: Jev 1.13.0: 29.1; Imajev-4B: No measured result — Semantic code linting: checking code or writing against conventions and guidelines, as in CI review of code. 90 items (3 open, 87 sealed).Code linting29.1 · n/aSearch & retrieval: Jev 1.13.0: 80.9; Imajev-4B: No measured result — Search and retrieval: scoring query-to-candidate relevance, reranking results, selecting useful context for RAG. 90 items (5 open, 85 sealed).Search &retrieval80.9 · n/aScience: Jev 1.13.0: 21.2; Imajev-4B: No measured result — Scientific discovery: screening papers, labelling research passages or survey answers, checking that citations support claims, methodology checks. 90 items (2 open, 88 sealed).Science21.2 · n/aAdvertising: Jev 1.13.0: 16.4; Imajev-4B: No measured result — Advertising: ad creatives, campaign copy, brand safety, prohibited claims in ads. 88 items (3 open, 85 sealed).Advertising16.4 · n/aGaming: Jev 1.13.0: 5.1; Imajev-4B: No measured result — Gaming: player reports, in-game chat, game support. 86 items (3 open, 83 sealed).Gaming5.1 · n/aDemand forecasting: Jev 1.13.0: 0.0; Imajev-4B: No measured result — Demand forecasting: purchase intent, product interest, demand and supply signals for forecasting. 83 items (3 open, 80 sealed).Demandforecasting0.0 · n/a

Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.

The real-world application area of each decision, after the TypeSafe use-case map; an item can count in two. Chance-corrected competence per category (0 = at or below chance; negative averages are reported as 0, 100 = perfect), Jev 1.13.0: S+P+L1+L2+L3; Imajev-4B: open+sealed items pooled; every category with at least 15 items is a spoke; points under 30 answered items are hollow and marked n=…. Hover a category for its definition and item count.A point on the bold 0 ring printed 0.0 is a measured value, not a gap: these published cells clip below-chance results to 0, so 0 means at or below chance. Their score markers cannot fall inside that ring.

Imajev-4B: No per-category values are published for this system.

What each category means · items per category
  • Model routing — deciding which LLM or model tier should handle a prompt; classifying a request's intent, domain, difficulty or risk to pick a model. 524 items (86 open / 438 sealed)
  • Legal and compliance — contracts, policies, regulations, eligibility rules, checking documents against written requirements. 515 items (74 open / 441 sealed)
  • Customer support — classifying tickets and customer intents, urgency, refunds, routing cases to a team, checking support replies. 240 items (37 open / 203 sealed)
  • Other — none of the above: general reasoning, arithmetic or date puzzles, everyday assistant requests without a business workflow. 174 items (24 open / 150 sealed)
  • E-commerce marketplaces — product listings, product attributes, orders and deliveries, seller catalog policy. 119 items (9 open / 110 sealed)
  • Insurance claims — first-notice-of-loss reports, claim complexity, missing information, claim triage. 119 items (9 open / 110 sealed)
  • Risk assessment — estimating probabilities and severity of risks, incidents, vendor or underwriting risk. 118 items (8 open / 110 sealed)
  • Financial crime — suspicious transactions, KYC, fraud alerts, entity matching for investigations. 101 items (9 open / 92 sealed)
  • Feature extraction for predictive modeling — turning natural-language data into probabilistic features or estimates for a downstream prediction. 99 items (5 open / 94 sealed)
  • Lead generation — matching companies or inbound messages to an ideal customer profile, buyer intent, prioritising and routing sales leads. 95 items (4 open / 91 sealed)
  • Recruiting — resumes, applications, interview feedback, matching candidates to roles. 94 items (1 open / 93 sealed)
  • Graphs and knowledge graphs — entity types, relationships between records, contradictions between facts, multi-step lookups across linked facts. 94 items (3 open / 91 sealed)
  • LLM guardrails — checking LLM inputs, outputs and tool calls: prompt injection, jailbreaks, policy violations, tool-call errors, answer quality. 93 items (5 open / 88 sealed)
  • Moderation and trust and safety — user content moderation: toxicity, harassment, spam, unsafe advice, personal data exposure. 93 items (7 open / 86 sealed)
  • Semantic code linting — checking code or writing against conventions and guidelines, as in CI review of code. 90 items (3 open / 87 sealed)
  • Search and retrieval — scoring query-to-candidate relevance, reranking results, selecting useful context for RAG. 90 items (5 open / 85 sealed)
  • Scientific discovery — screening papers, labelling research passages or survey answers, checking that citations support claims, methodology checks. 90 items (2 open / 88 sealed)
  • Advertising — ad creatives, campaign copy, brand safety, prohibited claims in ads. 88 items (3 open / 85 sealed)
  • Gaming — player reports, in-game chat, game support. 86 items (3 open / 83 sealed)
  • Demand forecasting — purchase intent, product interest, demand and supply signals for forecasting. 83 items (3 open / 80 sealed)

Competence per request type, open / sealed

Imajev-4B has no published values for this view.

Radar: competence per request type, open / sealed, two systemsCompetence per request type, open / sealed, Jev 1.13.0 vs Imajev-4B. Choice · open: 79.0 vs —; Choice · sealed: 75.8 vs —; Noul · open: 54.5 vs —; Noul · sealed: 46.1 vs —; Score · open: 63.3 vs —; Score · sealed: 63.0 vs —. Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.−1000100Choice · open: Jev 1.13.0: 79.0; Imajev-4B: No measured resultChoice · open79.0 · n/aChoice · sealed: Jev 1.13.0: 75.8; Imajev-4B: No measured resultChoice ·sealed75.8 · n/aNoul · open: Jev 1.13.0: 54.5; Imajev-4B: No measured resultNoul · open54.5 · n/aNoul · sealed: Jev 1.13.0: 46.1; Imajev-4B: No measured resultNoul · sealed46.1 · n/aScore · open: Jev 1.13.0: 63.3; Imajev-4B: No measured resultScore · open63.3 · n/aScore · sealed: Jev 1.13.0: 63.0; Imajev-4B: No measured resultScore ·sealed63.0 · n/a

Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.

Chance-corrected competence for Choice, Noul and Score on the 300 open and 1200 sealed decisions.

Competence per tier — open set

Imajev-4B has no published values for this view.

Radar: competence per tier — open set, two systemsCompetence per tier — open set, Jev 1.13.0 vs Imajev-4B. Easy: 93.9 vs —; Standard: 63.2 vs —; Judge: 67.7 vs —; Hard: 65.6 vs —. Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.−1000100Easy: Jev 1.13.0: 93.9; Imajev-4B: No measured resultEasy93.9 · n/aStandard: Jev 1.13.0: 63.2; Imajev-4B: No measured resultStandard63.2 · n/aJudge: Jev 1.13.0: 67.7; Imajev-4B: No measured resultJudge67.7 · n/aHard: Jev 1.13.0: 65.6; Imajev-4B: No measured resultHard65.6 · n/a

Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.

Per-tier competence, the three request types pooled by their published decision counts.

Competence per tier — sealed set

Imajev-4B has no published values for this view.

Radar: competence per tier — sealed set, two systemsCompetence per tier — sealed set, Jev 1.13.0 vs Imajev-4B. Easy: 78.4 vs —; Standard: 68.7 vs —; Judge: 66.9 vs —; Hard: 58.9 vs —. Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.−1000100Easy: Jev 1.13.0: 78.4; Imajev-4B: No measured resultEasy78.4 · n/aStandard: Jev 1.13.0: 68.7; Imajev-4B: No measured resultStandard68.7 · n/aJudge: Jev 1.13.0: 66.9; Imajev-4B: No measured resultJudge66.9 · n/aHard: Jev 1.13.0: 58.9; Imajev-4B: No measured resultHard58.9 · n/a

Linear signed scale: −100 at the centre, 0 on the bold middle ring, 100 at the rim.

Per-tier competence on the sealed decisions, types pooled the same way; item text stays private.
How the categories were made

O1S chance-corrected competence: equal mean across the request types present, clipped to 0–100. Zero means the equal-weight mean across present request types was at or below baseline; negative means are clipped. It does not mean every type scored zero. Choice uses a random-option baseline; Noul uses a fixed 50% accuracy baseline (abstentions count as wrong); Score uses the midpoint-guess error (random-guess fallback when every gold is at the midpoint). Compare models within a category; row pools and supported types can differ.

Categories use ruled subject-topic labels and authoring use-case precedence across the answered pool union, with stable item identities counted once.

  • Official O1S; recorded failures count where supported; no missing response is imputed; stable identity dedupe parent first.
  • S-based category cells pool recorded supported responses from S+P and the answered L1/L2/L3 supplements. API overlay category cells keep their separately recorded A4/A5+P union. Headline and per-type/tier scores are unchanged.
All values as a table
SpokeA: Jev 1.13.0B: Imajev-4B
The four score axes
Intelligence63.652.2
Calibration90.680.4
Speed91.290.6
Cost54.759.7
Capability by subject topic
Rules, policy & law49.4No per-category values are published for this system.
Coding & software64.3No per-category values are published for this system.
Math & numbers10.4No per-category values are published for this system.
Finance & commerce40.9No per-category values are published for this system.
Support & operations48.8No per-category values are published for this system.
Everyday language77.5No per-category values are published for this system.
Safety & security52.2No per-category values are published for this system.
Use cases (TypeSafe categories)
Model routing73.0No per-category values are published for this system.
Legal & compliance68.6No per-category values are published for this system.
Customer support49.6No per-category values are published for this system.
Other40.1No per-category values are published for this system.
E-commerce40.5No per-category values are published for this system.
Insurance claims46.1No per-category values are published for this system.
Risk assessment32.8No per-category values are published for this system.
Financial crime35.8No per-category values are published for this system.
Feature extraction28.3No per-category values are published for this system.
Lead generation49.2No per-category values are published for this system.
Recruiting0.0No per-category values are published for this system.
Knowledge graphs28.8No per-category values are published for this system.
LLM guardrails68.0No per-category values are published for this system.
Moderation51.6No per-category values are published for this system.
Code linting29.1No per-category values are published for this system.
Search & retrieval80.9No per-category values are published for this system.
Science21.2No per-category values are published for this system.
Advertising16.4No per-category values are published for this system.
Gaming5.1No per-category values are published for this system.
Demand forecasting0.0No per-category values are published for this system.
Competence per request type, open / sealed
Choice · open79.0—
Choice · sealed75.8—
Noul · open54.5—
Noul · sealed46.1—
Score · open63.3—
Score · sealed63.0—
Competence per tier — open set
Easy93.9—
Standard63.2—
Judge67.7—
Hard65.6—
Competence per tier — sealed set
Easy78.4—
Standard68.7—
Judge66.9—
Hard58.9—

Published values

MeasureJev 1.13.0 (TypeSafe AI)Imajev-4B
Capability Score77.166.3
Rank (open-weights board)Reference, not rankedNot in current release
Composite (secondary)71.467.4
intelligence63.652.2
calibration90.680.4
speed91.290.6
cost54.759.7
USD per 1,000 decisions$0.032 per 1,000 decisions$0.022 per 1,000 decisions
p50 latency (seconds)0.20.040 measured on-GPU, no network · 0.23 est. incl. network (2x + 150 ms)
Methodv1.7 · 10 s rulenot stated
p95 (measured) · decisions over 10 sp95 0.311 s (measured) · 0 of 1,500 over 10 s—
Before the 10 s rule (v1.6)v1.6.43: A 71.49 · #18—
Last measured2026-10-052026-09-27T18:49:51+00:00

* Self-hosted rows: the first value is the p50 we measured on our own hardware over loopback (on-GPU, or on-CPU where marked, no network). It is not directly comparable with API latency, which we time end to end from our measuring host, network included. “est.” is the est. incl. network (2x + 150 ms) that the ranking and the latency cap use for every self-hosted row. Model authors can ask us to time a hosted endpoint instead (on request).

Jev 1.13.0 (TypeSafe AI)

proprietary API

Published source
Measured on
the operator's hosted API
Cost basis (public list price)
TypeSafe list tariff USD 0.042 per 1M input tokens, output free; measured on the v1.6.1 common cost basis (all items except those outside the Jev reference input range) from this run's token usage
Latency adjustment
none (API)

Imajev-4B

Apache-2.0 (author adapter and server metadata)

Published source
Measured on
evaluator-owned Lium GPU; exact model recorded in the run receipt
Cost basis (estimated)
ESTIMATE: DeepInfra public model catalog for exact base Qwen/Qwen3.5-4B, retrieved 2026-09-27 00:52 UTC: USD 0.03/M input and USD 0.15/M output; see receipts/BASE-PRICE-REFERENCE.json; full-forward input tokens are counted once for the single pinned server pass; no generated output tokens; estimated, not charged
Latency adjustment
x2 + 0.15 s (assumption, not measured)

Using these models through an API

Decision Models offers a Jev-compatible API; its comparison page lists hosted options and prices, checked on the date shown there.

Jev-compatible APIs compared (Decision Models)

Decision Models is run by the same company as Benchmark Heaven. This link is the same on every comparison page and never affects scores or ranks.

Frequently asked questions

What does JevBench show for Jev and Imajev-4B?
Jev 1.13.0 has Capability 77.1 and is the unranked reference (the open-weights board ranks 243 open-weights systems; hosted API offerings are ranked on the API leaderboard). Imajev-4B has Capability 66.3. Not in the current release ranking; last published measurement: v1.4.2.2, 2026-09-27T18:49:51+00:00. Historical scores use their original method and are not ranked against the current release.
Is there a time limit per decision?
Yes, from JevBench v1.7.0 (method v1.7): a decision that takes longer than 10 seconds (measured time) counts as a wrong answer and as zero calibration for that item. Each row shows its p95 and how many decisions were over the limit; the v1.6 values stay visible.
How does Capability differ from Composite?
Capability is the mean of Intelligence and Calibration; headline ranks require both official cost and median-latency caps. Composite additionally scores Speed and Cost and is secondary.
Can I compare the prices as actual bills?
Jev 1.13.0 (TypeSafe AI): public list price, $0.032 per 1,000 decisions. Imajev-4B: estimated, $0.022 per 1,000 decisions. Estimates and self-reported vendor prices are not measured charges.
Is Imajev-4B open source?
The published licence note for Imajev-4B is Apache-2.0 (author adapter and server metadata). Jev 1.13.0 is listed as proprietary API. Check the linked sources for terms.