GLM-5.2 (max)
Output 72 tokens/sFirst token 8.6 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 | DeepInfra | OpenRouter | $0.563 | $1.80 | |
| 2 | Novita | OpenRouter | $0.650 | $2.04 | |
| 3 | DigitalOcean | OpenRouter | $0.700 | $2.20 | |
| 4 | CoreWeave | OpenRouter | $0.760 | $2.42 | |
| 5 | Chutes | Chutes | $1.25 | $3.95 |
Composite
7 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one76.5
includes −0.0 for its Benchmaxxing signal (from 76.5; why, switch off in Options)
AA Coding 68.8Coding Agent v1.4 43.3AA Intelligence 34.0AA Agentic 39.4Epoch ECI 151.9Software ECI 152.3DesignArena 1236/1251
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
41 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
APEX-Agents-AA8333.7%
APEX-Agents-AA published 2026-09-10 ↗ · Published board — Tests professional-service tasks that require agents to produce locally graded deliverables.
AA-Briefcase681,234 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 v2801,418 Elo
GDPval-AA v2 v2 ↗ · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Harvey LAB-AA7491.0%
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.
ITBench-AA8442.7%
ITBench-AA published 2026-09-10 ↗ · Published board — Tests root-cause diagnosis from offline Kubernetes incident snapshots.
Terminal-Bench Hard (AA)9550.8%
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)7777.9%
Terminal-Bench v2.1 (AA) v2.1 ↗ · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.
ApprenticeBench API (NeoCognition)1517.0%
ApprenticeBench API (NeoCognition) published 2026-09-14 ↗ · Claude Code — An agent completes the same 100 sequential accounts-payable tasks in the Odoo ERP with diminishing mentoring, using dedicated application API calls instead of the screen interface.
Terminal-Bench 2.1 (Vals Index v2)3567.8%
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)597.1%
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)7274.9%
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.)
EBR-bench (Earthborne Rangers, Epoch AI)129.5%
EBR-bench (Earthborne Rangers, Epoch AI) published 2026-09-18 ↗ · Published board — Learning-capability test: models repeatedly play the obscure campaign board game Earthborne Rangers with note-taking, and the score measures whether results improve across playthroughs.
PostTrainBench v1.1031.7%
PostTrainBench v1.1 ↗ · Claude Code — Agents retrain four small base models (gemma-3-4b-pt, SmolLM3-3B-Base, Qwen3-1.7B-Base, Qwen3-4B-Base) for each of 7 benchmark families; the leaderboard value is the weighted mean over base models × benchmarks, aggregated over the 2–3 listed runs per agent.
AA Agentic Index7739.4
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
Artificial Analysis Coding Agent Index v1.42443.3%
Artificial Analysis Coding Agent Index v1.4 v1.4 ↗ · Claude Code — The retained AA Coding Agent Index measures coding-agent systems using the earlier three-component implementation.
SciCode (AA subproblems) v1.0.16451.2%
SciCode (AA subproblems) v1.0.1 ↗ · Published board — Tests scientific Python programming with scientist-annotated background information.
Vibe Code Bench (Vals Index v2)2964.0%
Vibe Code Bench (Vals Index v2) v2 ↗ · Published board — End-to-end app-building tasks.
DeepSWE (Datacurve, via Epoch AI)1943.8%
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.
SWE-bench Verified (Epoch AI run)7578.7%
SWE-bench Verified (Epoch AI run) published 2026-09-18 ↗ · Published board — Epoch AI's own inspect-ai runs of SWE-bench Verified, the human-validated GitHub issue-resolution set.
AA Coding Index7868.8
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)681,236 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-Stack721,251 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
ApprenticeBench API cost per task (NeoCognition)69$0.6
ApprenticeBench API cost per task (NeoCognition) published 2026-09-14 ↗ · Claude Code — ApprenticeBench's published USD cost per task for each API-board model-harness-effort configuration on the 100-task accounts-payable job.
GPQA Diamond (OpenRouter run) — measured cost per task27$0.074
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 task59$0.038
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)9173.3%
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)9241.1%
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 Index864.43
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)2831.3%
Legal Research Bench (Vals Index v2) v2 ↗ · Published board — Case and statute research with citation-backed answers.
SimpleQA Verified (run by Epoch AI)2134.2%
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)4610.4%
GDP.pdf (AA) published 2026-09-10 ↗ · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.
AA-LCR v1.18578.3%
AA-LCR v1.1 v1.1 ↗ · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
MLCR-AA267.2%
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)3359.2%
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)3829.3%
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
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 Index9034.0
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)9420.9%
CritPt (AA) published 2026-09-10 ↗ · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)8889.5%
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)7285.6%
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)7991.9%
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 v1.0.65428.4%
AutomationBench-AA v1.0.6 ↗ · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.
EnterpriseOps-Gym-AA6242.7%
EnterpriseOps-Gym-AA published 2026-09-10 ↗ · Published board — Tests enterprise workflows through MCP tools against resettable application environments.
τ²-Bench Telecom (AA)10099.1%
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) v1.0.17634.6%
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 · 40 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 CritPt (AA) published 2026-09-10
Why
Observed: 0.20857 fractionPeer mean 0.03928 · peer sd 0.07596 · n 522 · families 369Directed z 2.229 · baseline z 0.487 · gap 1.742 · profile n 390.20857 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: CritPt (AA) · published 2026-09-10 · Published boardExact value:0.208571428571429fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:f7a4ea75-e548-4069-80d4-9be8bc7c009b:critpt
Missing coverage · 100 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 2026-09-19 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| GLM-5.2 (max) | 68.8 | 34.0 |
| GLM-5.2 (Non-reasoning) | 46.5 | 22.4 |
Token offers by platform · 28 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
28 offers within the active global filters; “—” means the catalog is active but no public token price is available.
OpenRouter (19)
| Decartfree — Free route: rate- and quota-limited, availability may change — not used as a paid price | globaldecart/fp4 | $0 raw in $/1M | $0 raw out $/1M | not a paid price |
| DeepInfra | globaldeepinfra/fp4 | $0.563 raw in $/1M | $1.80 raw out $/1M | |
| Novita | globalnovita/fp8 | $0.650 raw in $/1M | $2.04 raw out $/1M | |
| DigitalOcean | globaldigitalocean | $0.700 raw in $/1M | $2.20 raw out $/1M | |
| CoreWeave | globalcoreweave/fp4 | $0.760 raw in $/1M | $2.42 raw out $/1M | |
| Phala | globalphala/fp8TEE | $1.26 raw in $/1M | $3.00 raw out $/1M | |
| Inceptron | globalinceptron/fp4EU | $1.25 raw in $/1M | $3.34 raw out $/1M | |
| SiliconFlow | globalsiliconflow/fp8 | $1.19 raw in $/1M | $3.74 raw out $/1M | |
| BaseTen | globalbaseten/fp8 | $1.40 raw in $/1M | $4.40 raw out $/1M | |
| Fireworks | globalfireworks | $1.40 raw in $/1M | $4.40 raw out $/1M | |
| Together | globaltogether | $1.40 raw in $/1M | $4.40 raw out $/1M | |
| Wafer | globalwafer | $1.40 raw in $/1M | $4.40 raw out $/1M | |
| Venice | globalvenice/fp8 | $1.40 raw in $/1M | $4.40 raw out $/1M | |
| Parasail | globalparasail/fp4 | $1.40 raw in $/1M | $4.40 raw out $/1M | |
| Z.AI | globalz-ai/fp8 | $1.40 raw in $/1M | $4.40 raw out $/1M | |
| BaseTen | globalbaseten/fast | $2.10 raw in $/1M | $6.60 raw out $/1M | |
| Fireworks | globalfireworks/fast-us | $2.10 raw in $/1M | $6.60 raw out $/1M | |
| Fireworks | globalfireworks/fast | $2.10 raw in $/1M | $6.60 raw out $/1M | |
| Decart | globaldecart/fast | $2.25 raw in $/1M | $8.00 raw out $/1M |
Chutes (1)
| Chutes | globalTEE | $1.25 raw in $/1M | $3.95 raw out $/1M |
Inceptron (1)
| Inceptron | euEU | $1.25 raw in $/1M | $3.34 raw out $/1M |
T-Systems LLM Hub (1)
| T-Systems LLM Hub | euEU | $1.72 raw in $/1M | $4.01 raw out $/1M |
TensorX (1)
| TensorX | euEU | $1.50 raw in $/1M | $4.50 raw out $/1M |
TrustedTokens (1)
| TrustedTokens | euEU | $1.72 raw in $/1M | $5.16 raw out $/1M |
Google Vertex AI (1)
| Google Vertex AI | global | $1.40 raw in $/1M | $4.40 raw out $/1M |
Nebius (1)
| Nebius | uk | $1.40 raw in $/1M | $4.40 raw out $/1M |
Azure AI Foundry (1)
| Azure AI Foundry | usfireworks | $1.54 raw in $/1M | $4.84 raw out $/1M |
Scaleway (1)
| Scaleway | euEU | $2.06 raw in $/1M | $6.30 raw out $/1M |