MiniMax-M3
Output 120 tokens/sFirst token 1.0 sContext 1M 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 | Platform | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | CoreWeave | OpenRouter | $0.230 | $0.960 | |
| 2 | DeepInfra | OpenRouter | $0.280 | $1.10 | |
| 3 | Together | OpenRouter | $0.300 | $1.20 | |
| 4 | Novita | OpenRouter | $0.300 | $1.20 | |
| 5 | Venice | OpenRouter | $0.300 | $1.20 |
Composite
6 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one59.7
includes −6.9 for its Benchmaxxing signal (from 66.6; why, switch off in Options)
Benchmaxxing signal +6.9, medium Benchmaxxing tag · medium report →
AA Coding 58.6Coding Agent v1.4 —AA Intelligence 29.6AA Agentic 30.8Epoch ECI 146.5Software ECI 149.3DesignArena 1215/1205
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
45 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
- Epoch ECI · attached
- Software ECI · attached
- DesignArena Web Apps (agentic) · attached
- DesignArena Full-Stack · attached
Agentic
AA-AnalystAgent1610.0%
AA-AnalystAgent published 2026-09-10 ↗ · Published board — Tests analyst tasks using agentic Python execution across fourteen domains.
AA-Briefcase611,096 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 v2721,304 Elo
GDPval-AA v2 v2 ↗ · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Harvey LAB-AA6788.4%
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.
Terminal-Bench Hard (AA)8942.4%
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)6565.2%
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)532.0%
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.
Vals Index v2 (Vals AI)1742.7%
Vals Index v2 (Vals AI) v2 ↗ · Published board — GDP-weighted average of agentic model performance across finance, coding and legal tasks.
Finance Agent v2 (Vals Index v2)2048.3%
Finance Agent v2 (Vals Index v2) v2 ↗ · Published board — Multi-step financial reasoning tasks.
Terminal-Bench 2.1 (Vals Index v2)1053.6%
Terminal-Bench 2.1 (Vals Index v2) v2 ↗ · Published board — Command-line interface problem solving, as run by Vals AI.
HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)384.2%
HLAB — Harvey's Legal Agent Benchmark (Vals Index v2) v2 ↗ · Published board — Long-horizon legal work product creation. Vals AI's run of Harvey's Legal Agent Benchmark, reported as accuracy — not comparable with Artificial Analysis' Harvey LAB-AA row.
τ²-Bench Airline (OpenRouter run)5371.0%
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.)
OSWorld 2.0, June 2026 task release (XLANG Lab) v2026.06.24no percentile4.6%
OSWorld 2.0, June 2026 task release (XLANG Lab) v2026.06.24 ↗ · standard — A computer-use agent completes 108 long-horizon, real-world workflows across 31 self-hosted websites and desktop applications, each taking a person about 1.6 hours.
AA Agentic Index7330.8
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) v1.0.15047.1%
SciCode (AA subproblems) v1.0.1 ↗ · Published board — Tests scientific Python programming with scientist-annotated background information.
Vibe Code Bench (Vals Index v2)1647.6%
Vibe Code Bench (Vals Index v2) v2 ↗ · Published board — End-to-end app-building tasks.
Code Migration (Vals Index v2 subset)2220.9%
Code Migration (Vals Index v2 subset) v2 ↗ · Published board — Porting projects to another language, including COBOL modernization.
FrontierCode 1.1 Main (Cognition) v1.1no percentile14.7%
FrontierCode 1.1 Main (Cognition) v1.1 ↗ · mini-swe-agent — Whether a maintainer would merge the agent's pull request, on tasks crafted by open-source maintainers and graded with tests, rubrics and verifiers.
SWE-rebench, issues 15 May – 1 Jul 2026 (Nebius) v2026-05-15..2026-07-012947.2%
SWE-rebench, issues 15 May – 1 Jul 2026 (Nebius) v2026-05-15..2026-07-01 ↗ · SWE-rebench fixed ReAct scaffold, tool mode — A model resolves 111 fresh GitHub issues from 65 repositories, created between 15 May and 1 July 2026, inside one fixed minimal agent scaffold, run five times.
AA Coding Index6758.6
AA Coding Index published 2026-09-19 ↗ · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.
DesignArena Web Apps (agentic)521,215 Elo
DesignArena Web Apps (agentic) published 2026-09-19 ↗ · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.
DesignArena Full-Stack541,205 Elo
DesignArena Full-Stack published 2026-09-19 ↗ · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.
Efficiency
Vals Index v2 cost per test (Vals AI)70$2.50
Vals Index v2 cost per test (Vals AI) v2 ↗ · Published board — Vals AI's published USD cost per test for each model on the Vals Index v2.
FrontierCode 1.1 Main cost per rollout (Cognition) v1.1no percentile$0.68
FrontierCode 1.1 Main cost per rollout (Cognition) v1.1 ↗ · mini-swe-agent — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Main model and reasoning effort.
GPQA Diamond (OpenRouter run) — measured cost per task47$0.03
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 task74$0.023
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)10082.9%
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)9039.0%
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 Index831.35
AA-Omniscience Index published 2026-09-10 ↗ · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Legal Research Bench (Vals Index v2)2229.8%
Legal Research Bench (Vals Index v2) v2 ↗ · Published board — Case and statute research with citation-backed answers.
Long-context
GDP.pdf (AA)449.8%
GDP.pdf (AA) published 2026-09-10 ↗ · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.
AA-LCR v1.19783.0%
AA-LCR v1.1 v1.1 ↗ · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
MLCR-AA6117.2%
MLCR-AA published 2026-09-10 ↗ · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.
Reasoning
LiveBench 2026-06-25no percentile67.3
LiveBench 2026-06-25 ↗ · Published board — A periodically refreshed suite of objectively graded tasks with separate category scores and an overall category mean.
Chess Puzzles (Epoch AI)2714.0%
Chess Puzzles (Epoch AI) published 2026-09-18 ↗ · Published board — Best-move selection on 100 novel chess positions generated programmatically by Epoch AI, each with a single Stockfish-verified best move; probes spatial reasoning and planning.
Mystery Game Puzzles (Epoch AI)37.0%
Mystery Game Puzzles (Epoch AI) published 2026-09-18 ↗ · Published board — Best-move selection on 100 mid-game positions of a well-known game whose identity Epoch deliberately keeps undisclosed, generated programmatically like Chess Puzzles.
AA Intelligence Index8629.6
AA Intelligence Index published 2026-09-19 ↗ · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.
Roleplay
EQ-Bench 4 v401,150 Elo
EQ-Bench 4 v4 ↗ · Published board — Measures active emotional and social intelligence of LLMs in multi-turn roleplay chats with simulated personas, ranked by an LLM-judge panel Elo.
Science
CritPt (AA)763.7%
CritPt (AA) published 2026-09-10 ↗ · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)9692.9%
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)9290.6%
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.)
GPQA Diamond (Epoch AI run)6990.9%
GPQA Diamond (Epoch AI run) published 2026-09-18 ↗ · Published board — Epoch AI's own inspect-ai runs of GPQA Diamond, the 198-question graduate-level science multiple-choice set.
Tool-use
AutomationBench-AA v1.0.64821.3%
AutomationBench-AA v1.0.6 ↗ · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.
EnterpriseOps-Gym-AA2332.1%
EnterpriseOps-Gym-AA published 2026-09-10 ↗ · Published board — Tests enterprise workflows through MCP tools against resettable application environments.
τ²-Bench Telecom (AA)8388.9%
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) v1.0.14415.3%
τ³-Banking (AA) v1.0.1 ↗ · Published board — Tests banking support agents that retrieve policies and change account state through tools.
Excel Modeling Benchmark (Vals Index v2)1347.8%
Excel Modeling Benchmark (Vals Index v2) v2 ↗ · Published board — Building and editing financial models in spreadsheets.
Vision
MMMU Pro (AA)8178.6%
MMMU Pro (AA) published 2026-09-10 ↗ · Published board — Tests multimodal understanding using challenging ten-option questions.
Writing
LLM Creative Story-Writing Benchmark710.10
LLM Creative Story-Writing Benchmark published 2026-09-10 ↗ · Published board — Pairwise comparison of short stories written to the same constrained creative briefs, with LLM evaluator choices combined into a relative comparison score.
Unusual results
2 threshold-crossing signals flagged · 41 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: 0.82857 fractionPeer mean 0.48006 · peer sd 0.17139 · n 450 · families 331Directed z 2.033 · baseline z 0.138 · gap 1.895 · profile n 400.82857 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: IFBench (AA single-turn) · published 2026-09-10 · Published boardExact value:0.828571428571429fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:277f939a-985b-4b37-859d-b3eabc7c0b26:ifbench - unusually strong Humanity's Last Exam (AA text-only) published 2026-09-10
Why
Observed: 0.38971 fractionPeer mean 0.15283 · peer sd 0.14006 · n 608 · families 449Directed z 1.691 · baseline z 0.147 · gap 1.545 · profile n 400.38971 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: Humanity's Last Exam (AA text-only) · published 2026-09-10 · Published boardExact value:0.389712696941613fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:277f939a-985b-4b37-859d-b3eabc7c0b26:hle
Missing coverage · 96 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.
Token offers by platform · 12 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
12 offers within the active global filters; “—” means the catalog is active but no public token price is available.
OpenRouter (9)
| DeepInfra | globaldeepinfra/fp8 | $0.280 raw in $/1M | $1.10 raw out $/1M | |
| Together | globaltogether | $0.300 raw in $/1M | $1.20 raw out $/1M | |
| Novita | globalnovita/fp8 | $0.300 raw in $/1M | $1.20 raw out $/1M | |
| ModelRun | globalmodelrun/fp4 | $0.750 raw in $/1M | $3.00 raw out $/1M | |
| Mara | globalmara | $0.600 raw in $/1M | $2.40 raw out $/1M | |
| SambaNova | globalsambanova | $0.600 raw in $/1M | $2.40 raw out $/1M | |
| CoreWeave | globalcoreweave/fp4 | $0.230 raw in $/1M | $0.960 raw out $/1M | |
| Venice | globalvenice/fp8 | $0.300 raw in $/1M | $1.20 raw out $/1M | |
| Parasail | globalparasail/fp8 | $0.300 raw in $/1M | $1.20 raw out $/1M |
TensorX (1)
| TensorX | euEU | $0.400 raw in $/1M | $2.00 raw out $/1M |
Nebius (1)
| Nebius | us | $0.300 raw in $/1M | $1.20 raw out $/1M |
Azure AI Foundry (1)
| Azure AI Foundry | usfireworks | $0.330 raw in $/1M | $1.32 raw out $/1M |