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ModelDeprecatedClosed / proprietaryIdentity probable

gpt-5.1

OpenAIfamily · GPT 5.1developers.openai.com/api/docs/models/gpt-5.1

The best model for coding and agentic tasks with configurable reasoning effort

Open in Graph
data quality70

Updated 6 h ago · first seen 11 Sept 2026

model_01M293V77KSX9P4RDAHQRJP5X5

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
2
API aliases
gpt-5-1gpt-5-1-non-reasoninggpt-5.1openai/gpt-5.1Identifiers under which providers and evaluators refer to this model.
Folded evaluation variants
1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Closed / proprietary— weights not available; 7 dimensions unknown.

Weights are not available; the model is reachable only through an API or a product.

  • Weights

    No

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    —

  • Redistribution

    —

  • Derivatives

    —

dimensions marked null are unknown, not false

Key facts

Release date

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Status

Source:Artificial AnalysisT2observed 14 h agomedium

Official page
developers.openai.com/api/docs/models/gpt-5.1

Source:OpenAI Platform docsT1observed 16 h agohigh

API model id

Source:OpenAI Platform docsT1observed 16 h agohigh

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Architecture

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Capabilities

Modalities

Modalities
documentimagetext
Input
documentimagetext
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Yes

    OpenRouter public model & pricing listing · T2

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Benchmarks31

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=hard · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvarianthardreasoning_efforthighconditions differ across rows → partially comparable4−20.5 ptvs gpt-5.6-solobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoning_efforthighconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · variant=Telecom · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantTelecomreasoning_efforthighconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysis2−17.3 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
SWE-bench Verifiedcoding · resolved · board=Verified · system=mini-SWE-agentOfficial boardboardVerifiedsystemmini-SWE-agentreasoning_effortmediumconditions differ across rows → partially comparable1−10.8 ptvs Claude Opus 4.520 Nov 2025swebench.comT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoning_efforthighversion4.3conditions differ across rows → partially comparable4−28.6vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoning_efforthighconditions differ across rows → partially comparable4−10.5 ptvs Grok 4.3obs. 12 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoning_efforthighconditions differ across rows → partially comparable4−30.6 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
MMMU-Promultimodal · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoning_efforthighconditions differ across rows → partially comparable4−11.4 ptvs gpt-6-astraobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoning_efforthighconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamond2−8.99 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 31 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Providers & Pricing5

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MCached inOutput / 1MBatch in / outNative unitsStatusObservedSource
OpenAI APIcheapest outputopenai/gpt-5.1:batch400Kout 128K$0.063——active7 h agosince 11 Sept 2026openrouter.aiT2
OpenRouteropenai/gpt-5.1:batch400Kout 128K$0.063——active21 min agosince 12 Sept 2026openrouter.aiT2
OpenAI APIgpt-5.1—$0.125$0.625 / $5flex_input_per_mtok=0.625flex_output_per_mtok=5fast_mode_input_per_mtok=2.5+1active8 h agosince 11 Sept 2026developers.openai.comT1
OpenAI APIopenai/gpt-5.1400Kout 128K$0.125——active7 h agosince 11 Sept 2026openrouter.aiT2
OpenRouteropenai/gpt-5.1400Kout 128K$0.125——active21 min agosince 12 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of gpt-5.1$0$2$4$6$8$10$12Sept 26Sept 26Sept 26Sept 26Sept 26OpenAI API: first observed → $10 · 11 Sept 2026OpenAI API: $10 → $5 · 11 Sept 2026OpenRouter: first observed → $10 · 12 Sept 2026OpenRouter: $10 → $5 · 12 Sept 2026
  • OpenAI API
  • OpenRouter
  • OpenRouter$10 → $512 Sept 2026
  • OpenRouterfirst observed $1012 Sept 2026
  • OpenAI API$10 → $511 Sept 2026
  • OpenAI APIfirst observed $1011 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of gpt-5.1$0$0.50$1$1.5Sept 26Sept 26Sept 26Sept 26Sept 26OpenAI API: first observed → $1.25 · 11 Sept 2026OpenAI API: $1.25 → $0.625 · 11 Sept 2026OpenRouter: first observed → $1.25 · 12 Sept 2026OpenRouter: $1.25 → $0.625 · 12 Sept 2026
  • OpenAI API
  • OpenRouter
  • OpenRouter$1.25 → $0.62512 Sept 2026
  • OpenRouterfirst observed $1.2512 Sept 2026
  • OpenAI API$1.25 → $0.62511 Sept 2026
  • OpenAI APIfirst observed $1.2511 Sept 2026

Versions & Artifacts0

Version history

Context window2 changes

11 Sept 2026→11 Sept 2026→11 Sept 2026current

Max outputfirst observation only

11 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Statusfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Timeline21

Full timeline →
  • Listed by providerModelgpt-5.1OpenAI

    OpenRouter lists gpt-5.1 at $0.625 in / $5 out per 1M tokens

    openrouter
    openrouter.ai
  • Listed by providerModelgpt-5.1OpenAI

    OpenRouter lists gpt-5.1 at $1.25 in / $10 out per 1M tokens

    openrouter
    openrouter.ai
  • Property changedModelgpt-5.1OpenAI

    gpt-5.1: reasoning changed from false to true

    ReasoningNo→Yesopenrouter
    openrouter.ai
  • Capabilities changedModelgpt-5.1OpenAI

    gpt-5.1: modalities changed from ["image", "text"] to ["document", "image", "text"]

    Modalitiesimage, text→document, image, textopenrouter
    openrouter.ai
  • Property changedModelgpt-5.1OpenAI

    gpt-5.1: modalities input changed from ["image", "text"] to ["document", "image", "text"]

    Input modalitiesimage, text→document, image, textopenrouter
    openrouter.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 45.45% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 52.43% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 81.87% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 75.49% on MMMU-Pro

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 72.86% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 28.5% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 87.27% on GPQA Diamond

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 24.74 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 22.73% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 46.49% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 62.37% on MMMU-Pro

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 43.2% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 5.28% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 64.34% on GPQA Diamond

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelgpt-5.1OpenAI

    gpt-5.1 scores 13.31 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Context window changedModelgpt-5.1OpenAI

    gpt-5.1: context length changed from 272000 to 400000

    Context window272K tokens→400K tokensopenrouter
    openrouter.ai

Change history

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
2 claims · 1 propertiesShow all properties

Aa median output tokens per secondmetric.aa_median_output_tokens_per_second2

Claim history for Aa median output tokens per second
ValueValid from → toStatusSourceConfidenceExtractor
99.5 → currentcurrentArtificial AnalysisT2mediumdeterministic
106.9 → currentcurrentArtificial AnalysisT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

25

Source tiers

T1T24 / 21

Freshest observation

6 h ago

Conflicts

None

Source documents 5

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenAI Platform docsdevelopers.openai.com/api/docs/models.md model_docsT1· Official24 min ago1
OpenAI Platform docsdevelopers.openai.com/api/docs/pricing.md pricingT1· Official24 min ago2
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary21 min ago12
SWE-bench leaderboardsswebench.com/ leaderboardT2· Quality secondary6 h ago1
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary6 h ago2

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (70/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →