Gemma 4 31B (Non-reasoning)
Output 60 tokens/sFirst token 0.6 sContext 256K 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. | $0.120 | $0.370 | |
| 2 | Chutesvia OpenRouter — Price via OpenRouter: OpenRouter's price for Chutes's endpoint (https://openrouter.ai/google/gemma-4-31b-it/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Chutes's endpoint (https://openrouter.ai/google/gemma-4-31b-it/providers), collected 2026-11-03. | $0.120 | $0.370 | |
| 3 | DekaLLMvia OpenRouter — Price via OpenRouter: OpenRouter's price for DekaLLM's endpoint (https://openrouter.ai/google/gemma-4-31b-it/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for DekaLLM's endpoint (https://openrouter.ai/google/gemma-4-31b-it/providers), collected 2026-11-03. | $0.140 | $0.400 | |
| 4 | NextBitvia OpenRouter — Price via OpenRouter: OpenRouter's price for NextBit's endpoint (https://openrouter.ai/google/gemma-4-31b-it/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for NextBit's endpoint (https://openrouter.ai/google/gemma-4-31b-it/providers), collected 2026-11-03. | $0.150 | $0.400 | |
| 5 | Parasailvia OpenRouter — Price via OpenRouter: OpenRouter's price for Parasail's endpoint (https://openrouter.ai/google/gemma-4-31b-it/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Parasail's endpoint (https://openrouter.ai/google/gemma-4-31b-it/providers), collected 2026-11-03. | $0.150 | $0.400 |
Composite
4 of 7 inputs · 2 from the model family6 radar axes: DesignArena's two boards share one13.7
includes −6.2 for its Benchmaxxing signal (from 19.8; why, switch off in Options)
Benchmaxxing signal +6.2, medium Benchmaxxing tag, uncertain: The 80 % interval reaches below zero — treat this tag as uncertain · medium report →The 80 % interval reaches below zero — treat this tag as uncertain.
AA Coding v4.x 33.2Coding Agent v1.4 —AA Intelligence (est.) 6.2AA Agentic —Epoch ECI 143.1Software ECI 145.0DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
14 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
- Epoch ECI · attached
- Software ECI · attached
Agentic
GDPval-AA v233691 Elo
GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Terminal-Bench Hard (AA)7230.3%
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)3429.2%
Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.
Coding
AA Coding Index v4.x · frozen 2026-10-273933.2
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).
Instruction-following
IFBench (AA single-turn)6453.5%
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)5811.8%
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 Index30-51.7
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.14446.7%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Safety/Alignment
BullshitBench V1 (clear pushback)1510.9%
BullshitBench V1 (clear pushback) published 2026-09-10 → · Published board — Whether a model rejects the broken premise of 55 deliberately nonsensical prompts (V1 question set) instead of answering them confidently.
BullshitBench V2 (clear pushback)3320.0%
BullshitBench V2 (clear pushback) published 2026-09-10 → · Published board — Whether a model rejects the broken premise of 100 deliberately nonsensical prompts (V2 question set) instead of answering them confidently.
Science
CritPt (AA)240.0%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)5976.3%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
Tool-use
τ²-Bench Telecom (AA)5965.5%
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) v1.0.1268.9%
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)5270.3%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
Missing coverage · 305 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 |
|---|---|---|
| Gemma 4 31B (Reasoning) | 43.4 | 6.2est. |
| Gemma 4 31B (Non-reasoning) | 33.2 | 6.2est. |
Token offers by platform · 18 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
18 offers within the active global filters, 2 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 | $0.120 raw in $/1M | $0.370 raw out $/1M |
OpenRouter (15)
Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/google/gemma-4-31b-it/providers, collected 2026-11-03.
| Chutes | globalchutes/fp4 | $0.120 raw in $/1M | $0.370 raw out $/1M | |
| DekaLLM | globaldekallm | $0.140 raw in $/1M | $0.400 raw out $/1M | |
| NextBit | globalnextbit/fp4EU | $0.150 raw in $/1M | $0.400 raw out $/1M | |
| Parasail | globalparasail/fp8 | $0.150 raw in $/1M | $0.400 raw out $/1M | |
| CoreWeave | globalcoreweave/fp4 | $0.100 raw in $/1M | $0.340 raw out $/1M | |
| Venice | globalvenice/fp4 | $0.120 raw in $/1M | $0.360 raw out $/1M | |
| DeepInfra | globaldeepinfra/turbo | $0.135 raw in $/1M | $0.510 raw out $/1M | |
| Crusoe | globalcrusoe/bf16 | $0.140 raw in $/1M | $0.400 raw out $/1M | |
| Novita | globalnovita/bf16 | $0.140 raw in $/1M | $0.400 raw out $/1M | |
| PrimeIntellect | globalprimeintellect/fp8 | $0.227 raw in $/1M | $0.380 raw out $/1M | |
| DeepInfra | globaldeepinfra/fp8 | $0.200 raw in $/1M | $0.400 raw out $/1M | |
| Io Net | globalio-net | $0.361 raw in $/1M | $1.09 raw out $/1M | |
| ModelRun | globalmodelrun/fp4 | $0.750 raw in $/1M | $1.00 raw out $/1M | |
| SiliconFlow | globalsiliconflow/fp8 | $0.750 raw in $/1M | $1.00 raw out $/1M | |
| SambaNova | globalsambanova | $0.380 raw in $/1M | $1.15 raw out $/1M |
AWS Bedrock (1)
Direct prices from AWS Bedrock's own price list. Source: aws.amazon.com/bedrock/pricing/, collected 2026-11-03.
| AWS Bedrock | eu-central-1EU | $0.168 raw in $/1M | $0.480 raw out $/1M |
STACKIT (1)
Direct prices from STACKIT's own price list. Source: docs.stackit.cloud/products/data-and-ai/ai-model-serving/basics/available-shared-models/, collected 2026-11-03.
| STACKIT | eu01EU | $0.505 raw in $/1M | $0.729 raw out $/1M |