Benchmark Heaven
Price & provider filters · adjusted costs
Global
Applies to price views & model offers; benchmark evidence stays unfiltered
← All models

GPT-5.6 Sol (medium)

★ 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

Composite70.9
Mean-imputed base70.5
Dominance adjustment+0.5
Composite evidence3/5
AA Coding · unversioned snapshot 2026-09-1076.3
AA Coding Agent · v1.4 · 2026-09-0961.6
AA Intelligence · unversioned snapshot 2026-09-1039.5
DesignArena Frontend · unversioned snapshot 2026-09-10
DesignArena Full-Stack · unversioned snapshot 2026-09-10
Output speed (t/s)67

MODEL EVIDENCE

Benchmark sheet

19 / 73 registered benchmark versions covered · 21 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

No threshold-crossing signal · 19 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.

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-Briefcase

Version snapshot-2026-09-10

Published board

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

1240.36 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Briefcase · snapshot-2026-09-10 · Published board
Exact value: 1240.36 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:briefcaseBreakdown.overall.elo
GDPval-AA v2

Version 2

Published board

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

1456.1 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDPval-AA v2 · 2 · Published board
Exact value: 1456.1 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:gdpval
Terminal-Bench Hard (AA)

Version 74221fb

Published board

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

0.62879 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench Hard (AA) · 74221fb · Published board
Exact value: 0.628787878787879 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:terminalbenchHard
Terminal-Bench v2.1 (AA)

Version 2.1

Published board

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

0.86142 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v2.1 (AA) · 2.1 · Published board
Exact value: 0.861423220973783 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3: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.

0.14646 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v4.0 (AA) · 4.0 · Published board
Exact value: 0.146464646464646 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3: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.

0.6162 fractionmeasuredobserved 2026-09-09artificialanalysis.ai
Evidence
Axis: Artificial Analysis Coding Agent Index v1.4 · 1.4 · Codex
Exact value: 0.616195748748264 fraction
Observed: 2026-09-09 · publication date: not recorded
Observation id: aa-coding:1.4:0
SciCode (AA subproblems)

Version 1.0.1

Published board

Tests scientific Python programming with scientist-annotated background information.

0.57407 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: SciCode (AA subproblems) · 1.0.1 · Published board
Exact value: 0.574074074074074 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3: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.

76.3 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Coding Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 76.3 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_coding_index:gpt-5.6-sol::medium
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.

0.69592 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: IFBench (AA single-turn) · snapshot-2026-09-10 · Published board
Exact value: 0.695918367346939 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3: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.

0.42215 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Humanity's Last Exam (AA text-only) · snapshot-2026-09-10 · Published board
Exact value: 0.422150139017609 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:hle
AA-Omniscience Index

Version snapshot-2026-09-10

Published board

Tests factual reliability while rewarding correct answers and penalizing hallucinations.

19.4 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Omniscience Index · snapshot-2026-09-10 · Published board
Exact value: 19.4 points
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3: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.

0.262 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDP.pdf (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.262 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:gdpPdfAllPass
AA-LCR v1.1

Version 1.1

Published board

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

0.80333 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-LCR v1.1 · 1.1 · Published board
Exact value: 0.803333333333333 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:lcr
MLCR-AA

Version snapshot-2026-09-10

Published board

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

0.15 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MLCR-AA · snapshot-2026-09-10 · Published board
Exact value: 0.15 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3: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.

39.5 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Intelligence Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 39.5 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_intelligence_index:gpt-5.6-sol::medium
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.

0.22857 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: CritPt (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.228571428571429 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:critpt
GPQA Diamond (AA)

Version snapshot-2026-09-10

Published board

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

0.92626 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GPQA Diamond (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.926262626262626 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3: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.

0.51328 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AutomationBench-AA · 1.0.6 · Published board
Exact value: 0.5132751158863986 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:automationBenchPartialScore
τ²-Bench Telecom (AA)

Version snapshot-2026-09-10

Published board

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

0.80994 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ²-Bench Telecom (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.809941520467836 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:tau2
τ³-Banking (AA)

Version 1.0.1

Published board

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

0.36495 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ³-Banking (AA) · 1.0.1 · Published board
Exact value: 0.364948453608247 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3: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.

0.81387 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MMMU Pro (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.813872832369942 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:6f174934-5b7d-4333-86cb-f5ebf4a862e3:mmmuPro
Missing coverage · 56 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