Kimi K2.7 Code
Output 60 tokens/sFirst token 1.2 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 | Platform | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | DeepInfra | OpenRouter | $0.680 | $3.40 | |
| 2 | CoreWeave | OpenRouter | $0.710 | $3.50 | |
| 3 | Inceptron | Inceptron | $0.706 | $3.21 | |
| 4 | Inceptron | OpenRouter | $0.706 | $3.21 | |
| 5 | Venice | OpenRouter | $0.750 | $3.50 |
Composite
6 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one67.0
AA Coding 60.8Coding Agent v1.4 —AA Intelligence 26.3AA Agentic 22.5Epoch ECI 150.1Software ECI 148.7DesignArena 1190/1185
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
31 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-Briefcase41856 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 v2571,114 Elo
GDPval-AA v2 v2 ↗ · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Harvey LAB-AA5085.0%
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)9244.7%
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)6767.4%
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)471.0%
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)5771.8%
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 Index5922.5
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) v1.0.15147.8%
SciCode (AA subproblems) v1.0.1 ↗ · Published board — Tests scientific Python programming with scientist-annotated background information.
DeepSWE (Datacurve, via Epoch AI)830.5%
DeepSWE (Datacurve, via Epoch AI) published 2026-09-15 ↗ · mini-swe-agent — Pass rate of coding agents on original, long-horizon software engineering tasks, run by Datacurve with the mini-swe-agent harness.
AA Coding Index7060.8
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)401,190 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-Stack481,185 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
GPQA Diamond (OpenRouter run) — measured cost per task26$0.079
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 task44$0.067
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)7463.1%
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)8635.0%
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 Index72-10.2
AA-Omniscience Index published 2026-09-10 ↗ · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
SimpleQA Verified (run by Epoch AI)2436.5%
SimpleQA Verified (run by Epoch AI) published 2026-09-16 ↗ · Published board — Short fact-seeking questions answered without tools, testing whether a model knows a fact rather than guessing; Google DeepMind's cleaned version of OpenAI's SimpleQA, run by Epoch AI.
Long-context
GDP.pdf (AA)5111.2%
GDP.pdf (AA) published 2026-09-10 ↗ · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.
AA-LCR v1.18779.3%
AA-LCR v1.1 v1.1 ↗ · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
MLCR-AA5816.1%
MLCR-AA published 2026-09-10 ↗ · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.
Math
FrontierMath Tiers 1–3 v2 (Epoch AI)2154.0%
FrontierMath Tiers 1–3 v2 (Epoch AI) v2 ↗ · Published board — Unpublished, expert-written mathematics problems from undergraduate to research level with automatically checkable answers, run by Epoch AI on its private v2 set.
FrontierMath Tier 4 v2 (Epoch AI)312.2%
FrontierMath Tier 4 v2 (Epoch AI) v2 ↗ · Published board — The hardest, research-level tier of Epoch AI's unpublished FrontierMath problems, run by Epoch AI on its private v2 set.
Reasoning
SimpleBench8857.9%
SimpleBench published 2026-09-10 ↗ · Published board — A multiple-choice text benchmark of over 200 questions covering spatio-temporal reasoning, social intelligence, and linguistic adversarial robustness, on which a non-specialized human baseline outperforms every tested LLM.
Chess Puzzles (Epoch AI)4621.0%
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.
AA Intelligence Index8226.3
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.
Science
CritPt (AA)8610.0%
CritPt (AA) published 2026-09-10 ↗ · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)8889.6%
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)5381.4%
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)5087.9%
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 v1.0.65124.5%
AutomationBench-AA v1.0.6 ↗ · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.
EnterpriseOps-Gym-AA4540.2%
EnterpriseOps-Gym-AA published 2026-09-10 ↗ · Published board — Tests enterprise workflows through MCP tools against resettable application environments.
τ²-Bench Telecom (AA)8590.1%
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) v1.0.15320.2%
τ³-Banking (AA) v1.0.1 ↗ · Published board — Tests banking support agents that retrieve policies and change account state through tools.
Unusual results
1 threshold-crossing signal flagged · 33 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 weak DeepSWE (Datacurve, via Epoch AI) published 2026-09-15
Why
Observed: 0.30531 fractionPeer mean 0.56136 · peer sd 0.161 · n 63 · families 21Directed z -1.59 · baseline z 0.311 · gap -1.902 · profile n 320.30531 fractionmeasuredobserved 2026-09-15epoch.ai ↗Evidence
Axis: DeepSWE (Datacurve, via Epoch AI) · published 2026-09-15 · mini-swe-agentExact value:0.3053097345132743fractionEvaluation harness: mini-swe-agentObserved: 2026-09-15T09:05:24Z · publication date: not recordedObservation id:public:ed4d65bff33890a60159da84
Missing coverage · 110 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.
SUBSCRIPTION PLAN
GitHub Copilot
Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.
Token offers by platform · 16 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
16 offers within the active global filters; “—” means the catalog is active but no public token price is available.
OpenRouter (11)
| DeepInfra | globaldeepinfra/fp4 | $0.680 raw in $/1M | $3.40 raw out $/1M | |
| CoreWeave | globalcoreweave/int4 | $0.710 raw in $/1M | $3.50 raw out $/1M | |
| Inceptron | globalinceptron/int4EU | $0.706 raw in $/1M | $3.21 raw out $/1M | |
| Venice | globalvenice/int4 | $0.750 raw in $/1M | $3.50 raw out $/1M | |
| ModelRun | globalmodelrun/fp4 | $0.850 raw in $/1M | $3.75 raw out $/1M | |
| SiliconFlow | globalsiliconflow/fp8 | $0.859 raw in $/1M | $3.80 raw out $/1M | |
| Novita | globalnovita/int4 | $0.912 raw in $/1M | $3.84 raw out $/1M | |
| BaseTen | globalbaseten/fp4 | $0.950 raw in $/1M | $4.00 raw out $/1M | |
| Fireworks | globalfireworks | $0.950 raw in $/1M | $4.00 raw out $/1M | |
| Moonshot AI | globalmoonshotai/int4 | $0.950 raw in $/1M | $4.00 raw out $/1M | |
| Moonshot AI | globalmoonshotai/highspeed | $1.90 raw in $/1M | $8.00 raw out $/1M |
Inceptron (1)
| Inceptron | euEU | $0.706 raw in $/1M | $3.21 raw out $/1M |
TensorX (1)
| TensorX | euEU | $1.25 raw in $/1M | $4.50 raw out $/1M |
Azure AI Foundry (2)
| Azure AI Foundry | globalazure directEU equivalent | $0.950 raw in $/1M | $4.00 raw out $/1M | |
| Azure AI Foundry | usfireworks | $1.05 raw in $/1M | $4.40 raw out $/1M |
Nebius (1)
| Nebius | us | $0.950 raw in $/1M | $4.00 raw out $/1M |