Step 3.7 Flash
Context 262K tokens
Top 1 cheapest providers (Adjusted $/task)
Within the active global provider, residency and confidentiality filters.
| # | Provider | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Novitavia OpenRouter — Price via OpenRouter: OpenRouter's price for Novita's endpoint (https://openrouter.ai/stepfun/step-3.7-flash/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Novita's endpoint (https://openrouter.ai/stepfun/step-3.7-flash/providers), collected 2026-11-03. | $0.200 | $1.15 |
Composite
2 of 7 inputs6 radar axes: DesignArena's two boards share one8.2
Thin data · 2/7Based on only 2 of 7 Composite inputs — treat this rank as uncertainincludes −13.9 for its Benchmaxxing signal (from 22.1; why, switch off in Options)
Benchmaxxing signal +13.9, very strong Benchmaxxing tag, uncertain: The 80 % interval reaches below zero — treat this tag as uncertain · very strong report →The 80 % interval reaches below zero — treat this tag as uncertain.
AA Coding v4.x 39.6Coding Agent v1.4 —AA Intelligence (est.) 9.6AA Agentic —Epoch ECI —Software ECI —DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
28 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
Agentic
APEX-Agents-AA3414.8%
APEX-Agents-AA published 2026-09-10 → · Published board — Tests professional-service tasks that require agents to produce locally graded deliverables.
GDPval-AA v246954 Elo
GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Harvey LAB-AA2172.7%
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-AA3430.3%
ITBench-AA published 2026-09-10 → · Published board — Tests root-cause diagnosis from offline Kubernetes incident snapshots.
Terminal-Bench Hard (AA)8235.6%
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)4139.3%
Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.
τ²-Bench Airline (OpenRouter run)9477.3%
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.)
Coding
SciCode (AA subproblems) v1.0.13643.9%
SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.
AA Coding Index v4.x · frozen 2026-10-274639.6
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 task25$0.08
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 task77$0.02
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)8067.3%
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)7221.4%
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 Index48-37.3
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.17373.7%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Math
ArXivMath 06/2026 (MathArena)030.6%
ArXivMath 06/2026 (MathArena) 2026-06 → · Published board — Research-level math problems with a checkable final answer, drawn from arXiv papers submitted in June 2026; each edition is restricted to papers published within the last month to reduce training-data contamination.
BrokenArXiv 06/2026 (MathArena)015.7%
BrokenArXiv 06/2026 (MathArena) 2026-06 → · Published board — Plausible but false proof statements taken from June 2026 arXiv papers; a model scores by refusing to prove them and saying the statement is false as written.
HMMT February 2026 (MathArena) 2026-02087.9%
HMMT February 2026 (MathArena) 2026-02 → · Published board — The 33 final-answer problems of the February 2026 Harvard-MIT Mathematics Tournament, one of the largest high-school math competitions in the United States, run by MathArena on the contest problems.
Apex 2025 (MathArena)5314.6%
Apex 2025 (MathArena) v2025 → · Published board — Twelve final-answer problems from 2025 competitions that MathArena selected because strong models of the time failed them; the selection is biased against the four models used to choose it (Grok 4, GPT-5, Gemini 2.5 Pro, GLM 4.5).
Apex Shortlist 2025 (MathArena)5076.6%
Apex Shortlist 2025 (MathArena) v2025 → · Published board — 47 final-answer problems from 2025 competitions on which at least one of two reference models (Grok 4 Fast, GPT-5 mini) got at least one of four attempts wrong, run by MathArena.
AIME 2026 (MathArena)095.0%
AIME 2026 (MathArena) v2026 → · Published board — The 30 integer-answer problems of the 2026 American Invitational Mathematics Examination (AIME I and II), the qualifying exam for the USA Mathematical Olympiad, run by MathArena on the contest problems.
Science
CritPt (AA)692.3%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)6980.9%
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)3676.6%
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.)
Tool-use
EnterpriseOps-Gym-AA1529.1%
EnterpriseOps-Gym-AA published 2026-09-10 → · Published board — Tests enterprise workflows through MCP tools against resettable application environments.
τ²-Bench Telecom (AA)9998.5%
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) v1.0.13512.0%
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)6975.3%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
Writing
Judgemark v4028.0
Judgemark v4 v4 → · Published board — Meta-evaluation that rates LLM judges on how discriminatively they score fixed creative-writing samples.
Missing coverage · 291 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 · 1 offer (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
1 offer within the active global filters, 1 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.
OpenRouter (1)
Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/stepfun/step-3.7-flash/providers, collected 2026-11-03.
| Novita | globalnovita/fp8 | $0.200 raw in $/1M | $1.15 raw out $/1M |