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GPT-5.6 Luna (low)

★ 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
1Azure AI FoundryAzure AI Foundry$0.200$1.20
2AzureOpenRouter$0.200$1.20
3OpenAIOpenRouter$0.200$1.20
4AWS BedrockAWS Bedrock$0.220$1.32
5Amazon BedrockOpenRouter$0.220$1.32

Benchmarks

Composite48.2
Mean-imputed base36.8
Dominance adjustment+11.4
Composite evidence3/5
AA Coding · unversioned snapshot 2026-09-1044.2
AA Coding Agent · v1.4 · 2026-09-0925.1
AA Intelligence · unversioned snapshot 2026-09-1021.8
DesignArena Frontend · unversioned snapshot 2026-09-10
DesignArena Full-Stack · unversioned snapshot 2026-09-10
Output speed (t/s)103

MODEL EVIDENCE

Benchmark sheet

15 / 73 registered benchmark versions covered · 17 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 · 15 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.

742.04 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Briefcase · snapshot-2026-09-10 · Published board
Exact value: 742.04 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59:briefcaseBreakdown.overall.elo
GDPval-AA v2

Version 2

Published board

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

1081.79 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDPval-AA v2 · 2 · Published board
Exact value: 1081.79 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59:gdpval
Terminal-Bench v2.1 (AA)

Version 2.1

Published board

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

0.43446 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v2.1 (AA) · 2.1 · Published board
Exact value: 0.434456928838951 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59: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 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v4.0 (AA) · 4.0 · Published board
Exact value: 0 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59: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.

0.25064 fractionmeasuredobserved 2026-09-09artificialanalysis.ai
Evidence
Axis: Artificial Analysis Coding Agent Index v1.4 · 1.4 · Codex
Exact value: 0.250636604330228 fraction
Observed: 2026-09-09 · publication date: not recorded
Observation id: aa-coding:1.4:31
SciCode (AA subproblems)

Version 1.0.1

Published board

Tests scientific Python programming with scientist-annotated background information.

0.46065 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: SciCode (AA subproblems) · 1.0.1 · Published board
Exact value: 0.460648148148148 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59: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.

44.2 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Coding Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 44.2 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_coding_index:gpt-5.6-luna::low
Protocol: inspect · file data/raw/artificialanalysis.json

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.

0.19833 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Humanity's Last Exam (AA text-only) · snapshot-2026-09-10 · Published board
Exact value: 0.198331788693234 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59:hle
AA-Omniscience Index

Version snapshot-2026-09-10

Published board

Tests factual reliability while rewarding correct answers and penalizing hallucinations.

-14.65 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Omniscience Index · snapshot-2026-09-10 · Published board
Exact value: -14.65 points
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59:omniscience

Long-context

Long-context: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA-LCR v1.1

Version 1.1

Published board

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

0.7 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-LCR v1.1 · 1.1 · Published board
Exact value: 0.7 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59:lcr
MLCR-AA

Version snapshot-2026-09-10

Published board

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

0.06111 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MLCR-AA · snapshot-2026-09-10 · Published board
Exact value: 0.0611111111111111 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59: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.

21.8 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Intelligence Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 21.8 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_intelligence_index:gpt-5.6-luna::low
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.

0.02571 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: CritPt (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.0257142857142857 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59:critpt
GPQA Diamond (AA)

Version snapshot-2026-09-10

Published board

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

0.83535 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GPQA Diamond (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.835353535353535 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59: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.

0.11692 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AutomationBench-AA · 1.0.6 · Published board
Exact value: 0.11692162258271627 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59:automationBenchPartialScore
τ³-Banking (AA)

Version 1.0.1

Published board

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

0.12784 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ³-Banking (AA) · 1.0.1 · Published board
Exact value: 0.127835051546392 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59: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.

0.73988 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MMMU Pro (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.739884393063584 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:050c61cd-cddc-463a-a30a-a82aaa37be59:mmmuPro
Missing coverage · 60 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 Luna (max)71.437.5
GPT-5.6 Luna (xhigh)68.634.8
GPT-5.6 Luna (high)63.332.4
GPT-5.6 Luna (medium)50.725.8
GPT-5.6 Luna (low)44.221.8
GPT-5.6 Luna (Non-reasoning)39.316.8

GitHub Copilot

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

Input $0.200 / 1M
Cached input $0.020 / 1M
Cache write $0.250 / 1M
Output $1.20 / 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.

Azure AI Foundry (2)

Azure AI Foundryglobal$0.200 raw in $/1M$1.20 raw out $/1M
Azure AI FoundryeuEU$0.220 raw in $/1M$1.32 raw out $/1M

OpenRouter (6)

Azureglobalazure$0.200 raw in $/1M$1.20 raw out $/1M
OpenAIglobalopenai$0.200 raw in $/1M$1.20 raw out $/1M
Azureglobalazure/us$0.220 raw in $/1M$1.32 raw out $/1M
Amazon Bedrockglobalamazon-bedrock/us-east-1$0.220 raw in $/1M$1.32 raw out $/1M
Azureeuazure/euEU$0.220 raw in $/1M$1.32 raw out $/1M
OpenAIglobalopenai/fast$0.400 raw in $/1M$2.40 raw out $/1M

AWS Bedrock (1)

AWS Bedrockus-east-1$0.220 raw in $/1M$1.32 raw out $/1M

T-Systems LLM Hub (1)

T-Systems LLM HubeuEU$0.230 raw in $/1M$1.39 raw out $/1M
Benchmark Heaven — Model benchmarks & costs