Qwen3.5 397B A17B (Reasoning)
Output 59 tokens/sFirst token 1.6 sContext 262K tokens
Top 5 cheapest providers (Adjusted $/task)
The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.
Within the active global provider, residency and confidentiality filters.
| # | Provider | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Chutesdirect — Direct price: Chutes's own price list (https://llm.chutes.ai/v1/models), collected 2026-11-03. | direct — Direct price: Chutes's own price list (https://llm.chutes.ai/v1/models), collected 2026-11-03. | $0.450 | $3.00 | |
| 2 | DigitalOceanvia OpenRouter — Price via OpenRouter: OpenRouter's price for DigitalOcean's endpoint (https://openrouter.ai/qwen/qwen3.5-397b-a17b/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for DigitalOcean's endpoint (https://openrouter.ai/qwen/qwen3.5-397b-a17b/providers), collected 2026-11-03. | $0.550 | $3.50 | |
| 3 | DeepInfravia OpenRouter — Price via OpenRouter: OpenRouter's price for DeepInfra's endpoint (https://openrouter.ai/qwen/qwen3.5-397b-a17b/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for DeepInfra's endpoint (https://openrouter.ai/qwen/qwen3.5-397b-a17b/providers), collected 2026-11-03. | $0.450 | $3.00 | |
| 4 | Phalavia OpenRouter — Price via OpenRouter: OpenRouter's price for Phala's endpoint (https://openrouter.ai/qwen/qwen3.5-397b-a17b/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Phala's endpoint (https://openrouter.ai/qwen/qwen3.5-397b-a17b/providers), collected 2026-11-03. | $0.550 | $3.50 | |
| 5 | Parasailvia OpenRouter — Price via OpenRouter: OpenRouter's price for Parasail's endpoint (https://openrouter.ai/qwen/qwen3.5-397b-a17b/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Parasail's endpoint (https://openrouter.ai/qwen/qwen3.5-397b-a17b/providers), collected 2026-11-03. | $0.500 | $3.60 |
Composite
3 of 7 inputs · 1 from the model family6 radar axes: DesignArena's two boards share one4.4
includes −21.0 for its Benchmaxxing signal (from 25.5; why, switch off in Options)
Benchmaxxing signal +21.0, very strong Benchmaxxing tag · very strong report →
AA Coding v4.x 48.2Coding Agent v1.4 —AA Intelligence (est.) 9.1AA Agentic 10.6Epoch ECI 146.8Software ECI —DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
25 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
- Epoch ECI · attached
Agentic
APEX-Agents-AA3815.3%
APEX-Agents-AA published 2026-09-10 → · Published board — Tests professional-service tasks that require agents to produce locally graded deliverables.
AA-Briefcase26563 Elo
AA-Briefcase published 2026-09-10 → · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.
GDPval-AA v244905 Elo
GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Harvey LAB-AA1972.4%
Harvey LAB-AA published 2026-09-10 → · Published board — Tests legal-work deliverables across practice areas on Harvey's private task set. Artificial Analysis' run, graded by one LLM judge against task rubrics — not the same run or scale as Vals AI's HLAB row.
ITBench-AA5034.1%
ITBench-AA published 2026-09-10 → · Published board — Tests root-cause diagnosis from offline Kubernetes incident snapshots.
Terminal-Bench Hard (AA)8740.9%
Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
Terminal-Bench v2.1 (AA)5051.3%
Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.
Terminal-Bench v4.0 (AA)180.0%
Terminal-Bench v4.0 (AA) v4.0 → · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.
τ²-Bench Airline (OpenRouter run)9778.5%
τ²-Bench Airline (OpenRouter run) published 2026-09-15 → · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
AA Agentic Index4610.6
AA Agentic Index published 2026-09-18 → · Published board — Artificial Analysis publishes one Agentic Index per model, measured on its primary configuration and relayed by OpenRouter's Benchmarks API; the value is attached at family scope on the deterministic representative. Artificial Analysis publishes this board without a version number; we keep the date each result was retained.
Coding
SciCode (AA subproblems) v1.0.13844.8%
SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.
AA Coding Index v4.x · frozen 2026-10-275548.2
AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).
Efficiency
GPQA Diamond (OpenRouter run) — measured cost per task40$0.037
GPQA Diamond (OpenRouter run) — measured cost per task published 2026-09-15 → · Published board — Mean USD OpenRouter actually spent per task while running GPQA Diamond for this configuration.
τ²-Bench Airline (OpenRouter run) — measured cost per task34$0.099
τ²-Bench Airline (OpenRouter run) — measured cost per task published 2026-09-15 → · Published board — Mean USD OpenRouter actually spent per task while running τ²-Bench Airline for this configuration.
Instruction-following
IFBench (AA single-turn)9778.8%
IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)7929.0%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index54-30.8
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
GDP.pdf (AA)5412.2%
GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.
AA-LCR v1.18077.3%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Science
CritPt (AA)671.7%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)8789.3%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
GPQA Diamond (OpenRouter run)7485.9%
GPQA Diamond (OpenRouter run) published 2026-09-15 → · Published board — Graduate-level science questions that resist retrieval and reward careful reasoning. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
Tool-use
AutomationBench-AA v1.0.6356.9%
AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.
EnterpriseOps-Gym-AA1930.9%
EnterpriseOps-Gym-AA published 2026-09-10 → · Published board — Tests enterprise workflows through MCP tools against resettable application environments.
τ²-Bench Telecom (AA)9595.6%
τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.
τ³-Banking (AA) v1.0.13913.4%
τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.
Vision
MMMU Pro (AA)7577.3%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
Unusual results
1 threshold-crossing signal flagged · 26 eligible benchmark families
How flags are calculated
Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.
- unusually strong IFBench (AA single-turn) published 2026-09-10
Why
Observed: 0.78776 fractionPeer mean 0.48006 · peer sd 0.17139 · n 450 · families 331Directed z 1.795 · baseline z 0.132 · gap 1.663 · profile n 250.78776 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: IFBench (AA single-turn) · published 2026-09-10 · Published boardExact value:0.787755102040816fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:0e66bae9-41f1-42fc-9276-ce8cb6f72919:ifbench
Missing coverage · 294 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.
Variants / reasoning settings
Artificial Analysis snapshot 2026-11-03 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| Qwen3.5 397B A17B (Reasoning) | 48.2 | 9.1est. |
| Qwen3.5 397B A17B (Non-reasoning) | — | 10.6est. |
Token offers by platform · 11 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
11 offers within the active global filters, 4 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.
Chutes (1)
Direct prices from Chutes's own price list. Source: llm.chutes.ai/v1/models, collected 2026-11-03.
| Chutes | globalTEE | $0.450 raw in $/1M | $3.00 raw out $/1M |
OpenRouter (6)
Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/qwen/qwen3.5-397b-a17b/providers, collected 2026-11-03.
| DigitalOcean | globaldigitalocean | $0.550 raw in $/1M | $3.50 raw out $/1M | |
| DeepInfra | globaldeepinfra/fp8 | $0.450 raw in $/1M | $3.00 raw out $/1M | |
| Phala | globalphalaTEE | $0.550 raw in $/1M | $3.50 raw out $/1M | |
| Parasail | globalparasail/fp8 | $0.500 raw in $/1M | $3.60 raw out $/1M | |
| Novita | globalnovita | $0.600 raw in $/1M | $3.60 raw out $/1M | |
| Venice | globalvenice | $0.750 raw in $/1M | $4.50 raw out $/1M |
Nebius (1)
Direct prices from Nebius's own price list. Source: tokenfactory.nebius.com/models, collected 2026-11-03.
| Nebius | us | $0.600 raw in $/1M | $3.60 raw out $/1M |
IONOS (1)
Direct prices from IONOS's own price list. Source: cloud.ionos.com/prices, collected 2026-11-03.
| IONOS | euEU | $0.670 raw in $/1M | $4.00 raw out $/1M |
Scaleway (1)
Direct prices from Scaleway's own price list. Source: scaleway.com/en/pricing/model-as-a-service, collected 2026-11-03.
| Scaleway | euEU | $0.670 raw in $/1M | $4.04 raw out $/1M |
OVHcloud (1)
Direct prices from OVHcloud's own price list. Source: www.ovhcloud.com/en/public-cloud/ai-endpoints/catalog/, collected 2026-11-03.
| OVHcloud | euEU | $0.670 raw in $/1M | $4.04 raw out $/1M |