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GPT-5.6 Sol (max)

★ featured
OpenAI · released 2026-07-09 · 10 recorded token offers

Top 5 cheapest providers (Adjusted $/task)

Within the active global provider, residency and confidentiality filters.

#ProviderPlatformRaw input $/1MRaw output $/1MAdjusted $/task
1OpenAIOpenRouter$2.00$10.00
2Amazon BedrockOpenRouter$4.40$22.00
3AzureOpenRouter$5.00$30.00
4AWS BedrockAWS Bedrock$4.40$22.00
5Azure AI FoundryAzure AI Foundry$5.00$30.00

Benchmarks

Composite87.2
Mean-imputed base75.4
Dominance adjustment+11.8
Composite evidence3/5
AA Coding · unversioned snapshot 2026-09-1077.4
AA Coding Agent · v1.4 · 2026-09-0965.1
AA Intelligence · unversioned snapshot 2026-09-1047.1
DesignArena Frontend · unversioned snapshot 2026-09-10
DesignArena Full-Stack · unversioned snapshot 2026-09-10
Output speed (t/s)70

MODEL EVIDENCE

Benchmark sheet

24 / 73 registered benchmark versions covered · 26 observations including existing index snapshots.

Compare this model ↗
Composite retains Coding Agent v1.4 · source 2026-09-09

The five Composite inputs remain unchanged. Its Coding Agent input is the median across complete harness results in the retained v1.4 snapshot from 2026-09-09. Artificial Analysis now publishes v1.5, with different components. Explore current v1.5 separately. Dated snapshot labels on other indices identify unversioned source captures, not a verified semantic version.

Profile signals

1 threshold-crossing signal flagged · 23 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) snapshot-2026-09-10
    Why
    Observed: 0.32286 fraction
    Peer mean 0.03942 · peer sd 0.0762 · n 521 · families 367
    Directed z 3.719 · baseline z 1.436 · gap 2.284 · profile n 22
    0.32286 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
    Evidence
    Axis: CritPt (AA) · snapshot-2026-09-10 · Published board
    Exact value: 0.322857142857143 fraction
    Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
    Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:critpt

Protocol-compatible measured/vendor divergences

No verified protocol-compatible vendor/measured pair is available for this model; agreement cannot be assessed.

Agentic

Agentic: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA-AnalystAgent

Version snapshot-2026-09-10

Published board

Tests analyst tasks using agentic Python execution across fourteen domains.

0.475 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-AnalystAgent · snapshot-2026-09-10 · Published board
Exact value: 0.475 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:analystAgent
AA-Briefcase

Version snapshot-2026-09-10

Published board

Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

1475 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Briefcase · snapshot-2026-09-10 · Published board
Exact value: 1475 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:briefcaseBreakdown.overall.elo
GDPval-AA v2

Version 2

Published board

Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

1624.11 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDPval-AA v2 · 2 · Published board
Exact value: 1624.11 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:gdpval
Harvey LAB-AA

Version snapshot-2026-09-10

Published board

Tests legal-work deliverables across practice areas on Harvey's private task set.

0.87176 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Harvey LAB-AA · snapshot-2026-09-10 · Published board
Exact value: 0.871761470545665 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:harveyLab
ITBench-AA

Version snapshot-2026-09-10

Published board

Tests root-cause diagnosis from offline Kubernetes incident snapshots.

0.56215 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: ITBench-AA · snapshot-2026-09-10 · Published board
Exact value: 0.562146892655367 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:itBenchSre
Terminal-Bench Hard (AA)

Version 74221fb

Published board

Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

0.65909 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench Hard (AA) · 74221fb · Published board
Exact value: 0.659090909090909 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:terminalbenchHard
Terminal-Bench v2.1 (AA)

Version 2.1

Published board

Tests terminal-based work on the 89-task verified refresh using Terminus 2.

0.88015 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v2.1 (AA) · 2.1 · Published board
Exact value: 0.880149812734082 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:terminalbenchV21
Terminal-Bench v4.0 (AA)

Version 4.0

Published board

Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

0.39899 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v4.0 (AA) · 4.0 · Published board
Exact value: 0.398989898989899 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:terminalbenchV40

Coding

Coding: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
Artificial Analysis Coding Agent Index v1.4

Version 1.4

Codex

The retained AA Coding Agent Index measures coding-agent systems using the earlier three-component implementation.

0.65052 fractionmeasuredobserved 2026-09-09artificialanalysis.ai
Evidence
Axis: Artificial Analysis Coding Agent Index v1.4 · 1.4 · Codex
Exact value: 0.6505240024334411 fraction
Observed: 2026-09-09 · publication date: not recorded
Observation id: aa-coding:1.4:47
Artificial Analysis Coding Agent Index v1.5

Version 1.5

Codex

Measures coding-agent systems on DeepSWE v1.1, Terminal-Bench 4.0 and SWE-Atlas-QnA.

0.54559 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Artificial Analysis Coding Agent Index v1.5 · 1.5 · Codex
Exact value: 0.54559127289644 fraction
Observed: 2026-09-10 · publication date: not recorded
Observation id: aa-coding:1.5:709f801275dedae5675b1f56e97c9df3
SciCode (AA subproblems)

Version 1.0.1

Published board

Tests scientific Python programming with scientist-annotated background information.

0.5706 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: SciCode (AA subproblems) · 1.0.1 · Published board
Exact value: 0.570601851851852 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:scicode
AA Coding Index

Version snapshot-2026-09-10 (unversioned)

Published board

Published AA index from the retained API snapshot. No verified semantic version was supplied.

77.4 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Coding Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 77.4 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_coding_index:gpt-5.6-sol::max
Protocol: inspect · file data/raw/artificialanalysis.json

Instruction-following

Instruction-following: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
IFBench (AA single-turn)

Version snapshot-2026-09-10

Published board

Tests precise single-turn instructions with deterministic rule checks.

0.72653 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: IFBench (AA single-turn) · snapshot-2026-09-10 · Published board
Exact value: 0.726530612244898 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:ifbench

Knowledge

Knowledge: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
Humanity's Last Exam (AA text-only)

Version snapshot-2026-09-10

Published board

Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.

0.4949 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Humanity's Last Exam (AA text-only) · snapshot-2026-09-10 · Published board
Exact value: 0.494902687673772 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:hle
AA-Omniscience Index

Version snapshot-2026-09-10

Published board

Tests factual reliability while rewarding correct answers and penalizing hallucinations.

21.96667 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Omniscience Index · snapshot-2026-09-10 · Published board
Exact value: 21.9666666666667 points
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:omniscience

Long-context

Long-context: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
GDP.pdf (AA)

Version snapshot-2026-09-10

Published board

Tests professional reasoning over long PDFs with AA document preparation and grading.

0.272 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDP.pdf (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.272 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:gdpPdfAllPass
AA-LCR v1.1

Version 1.1

Published board

Tests reasoning across multiple long documents with corrected answer keys and grading.

0.84 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-LCR v1.1 · 1.1 · Published board
Exact value: 0.84 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:lcr
MLCR-AA

Version snapshot-2026-09-10

Published board

Tests medical-record synthesis and reasoning across long, fragmented case documents.

0.26111 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MLCR-AA · snapshot-2026-09-10 · Published board
Exact value: 0.261111111111111 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:mlcrOverall

Reasoning

Reasoning: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA Intelligence Index

Version snapshot-2026-09-10 (unversioned)

Published board

Published AA index from the retained API snapshot. No verified semantic version was supplied.

47.1 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Intelligence Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 47.1 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_intelligence_index:gpt-5.6-sol::max
Protocol: inspect · file data/raw/artificialanalysis.json

Science

Science: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
CritPt (AA)

Version snapshot-2026-09-10

Published board

Tests research-level physics reasoning with Python, symbolic and numerical answers.

0.32286 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: CritPt (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.322857142857143 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:critpt
GPQA Diamond (AA)

Version snapshot-2026-09-10

Published board

Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.

0.94141 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GPQA Diamond (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.941414141414141 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:gpqa

Tool-use

Tool-use: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AutomationBench-AA

Version 1.0.6

Published board

Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

0.60081 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AutomationBench-AA · 1.0.6 · Published board
Exact value: 0.6008114996276329 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:automationBenchPartialScore
EnterpriseOps-Gym-AA

Version snapshot-2026-09-10

Published board

Tests enterprise workflows through MCP tools against resettable application environments.

0.42913 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: EnterpriseOps-Gym-AA · snapshot-2026-09-10 · Published board
Exact value: 0.42912563413906296 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:enterpriseOpsGym
τ²-Bench Telecom (AA)

Version snapshot-2026-09-10

Published board

Tests dual-control telecom agents that coordinate tool use with a simulated user.

0.85088 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ²-Bench Telecom (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.850877192982456 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:tau2
τ³-Banking (AA)

Version 1.0.1

Published board

Tests banking support agents that retrieve policies and change account state through tools.

0.4433 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ³-Banking (AA) · 1.0.1 · Published board
Exact value: 0.443298969072165 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:tauBanking

Vision

Vision: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
MMMU Pro (AA)

Version snapshot-2026-09-10

Published board

Tests multimodal understanding using challenging ten-option questions.

0.8341 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MMMU Pro (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.834104046242775 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:d93edfe8-bf35-49ad-b56e-b18116142a1c:mmmuPro
Missing coverage · 51 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

VariantCoding · snapshot 2026-09-10Intelligence · snapshot 2026-09-10
GPT-5.6 Sol (xhigh)78.344.1
GPT-5.6 Sol (max)77.447.1
GPT-5.6 Sol (high)77.242.5
GPT-5.6 Sol (medium)76.339.5
GPT-5.6 Sol (low)69.733.8
GPT-5.6 Sol (Non-reasoning)65.128.3

GitHub Copilot

Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.

Input $4.00 / 1M
Cached input $0.400 / 1M
Cache write $5.00 / 1M
Output $20.00 / 1M
Status GA

Token offers by platform — Adjusted $/task

Adjusted costs are modeled USD per task: AA output tokens × OpenRouter usage I/O (Chutes global fallback). These are general usage and benchmark proxies for coding-agent work. Missing AA data assumes 1,000 output tokens/task; unknown cache hit assumes 0%; unmeasured additional cache writes assume 0 tokens. Click any underlined price for exact inputs, dates and assumptions. Raw list prices use the selected fixed input/output blend, in USD per million tokens.

10 offers within the active global filters; “—” means the catalog is active but no public token price is available.

OpenRouter (6)

OpenAIglobalopenai$2.00 raw in $/1M$10.00 raw out $/1M
Amazon Bedrockglobalamazon-bedrock/us-east-1$4.40 raw in $/1M$22.00 raw out $/1M
OpenAIglobalopenai/fast$4.00 raw in $/1M$20.00 raw out $/1M
Azureglobalazure$5.00 raw in $/1M$30.00 raw out $/1M
Azureglobalazure/us$5.50 raw in $/1M$33.00 raw out $/1M
Azureeuazure/euEU$5.50 raw in $/1M$33.00 raw out $/1M

AWS Bedrock (1)

AWS Bedrockus-east-1$4.40 raw in $/1M$22.00 raw out $/1M

Azure AI Foundry (2)

Azure AI Foundryglobal$5.00 raw in $/1M$30.00 raw out $/1M
Azure AI FoundryeuEU$5.50 raw in $/1M$33.00 raw out $/1M

T-Systems LLM Hub (1)

T-Systems LLM HubeuEU$5.23 raw in $/1M$31.38 raw out $/1M
Benchmark Heaven — Model benchmarks & costs