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ModelDeprecatedClosed / proprietaryIdentity probable

gpt-5.4-nano

OpenAIfamily · GPT 5.4developers.openai.com/api/docs/models/gpt-5.4-na

Our cheapest GPT-5.4-class model for simple high-volume tasks

Open in Graph
data quality70

Updated 4 h ago · first seen 11 Sept 2026

model_01M293V77A1BSM71074DSXFKAD

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-5-4-nanogpt-5-4-nano-mediumgpt-5-4-nano-non-reasoninggpt-5.4-nanoopenai/gpt-5.4-nanoIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
2Effort / 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 14 h agomedium

Status

Source:Artificial AnalysisT2observed 12 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Official page
developers.openai.com/api/docs/models/gpt-5.4-nano

Source:OpenAI Platform docsT1observed 14 h agohigh

API model id

Source:OpenAI Platform docsT1observed 14 h agohigh

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Architecture

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 14 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 14 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Benchmarks56

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_effortxhighconditions differ across rows → partially comparable6−23.5 ptvs gpt-5.6-solobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v4.0 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv4.0reasoning_effortxhighconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoning_effortxhighconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · variant=Telecom · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantTelecomreasoning_effortxhighconditions differ across rows → partially comparable3non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysis3−23.1 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
LiveBench Agentic Codingcoding · average score · variant=Agentic CodingOfficial boardvariantAgentic Codingrelease2026-06-251−30.5 ptvs DeepSeek-V4.1-Flash25 Jun 2026livebench.aiT2
LiveBench Codingcoding · average score · variant=CodingOfficial boardvariantCodingrelease2026-06-251−15.5 ptvs Claude Fable 5.125 Jun 2026livebench.aiT2
SciCodecoding · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoning_effortxhighconditions differ across rows → partially comparable2−15.9 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoning_effortxhighversion4.3conditions differ across rows → partially comparable6−32.1vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
LiveBenchgeneral · global_averageOfficial boardrelease2026-06-251−13.8 ptvs Claude Fable 5.125 Jun 2026livebench.aiT2
LiveBench Data Analysisgeneral · average score · variant=Data AnalysisOfficial boardvariantData Analysisrelease2026-06-251−15.3 ptvs gpt-6-astra25 Jun 2026livebench.aiT2
LiveBench Languagegeneral · average score · variant=LanguageOfficial boardvariantLanguagerelease2026-06-251−28.2 ptvs Claude Fable 525 Jun 2026livebench.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoning_effortxhighconditions differ across rows → partially comparable6−7.41 ptvs Grok 4.3obs. 12 Sept 2026artificialanalysis.aiT2
LiveBench Instruction Followinginstruction-following · average score · variant=IFOfficial boardvariantIFrelease2026-06-251−14.2 ptvs Gemini 3.8 Flash25 Jun 2026livebench.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoning_effortxhighconditions differ across rows → partially comparable6−30.9 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
LiveBench Mathematicsmath · average score · variant=MathematicsOfficial boardvariantMathematicsrelease2026-06-251−6.03 ptvs Claude Fable 5.125 Jun 2026livebench.aiT2
MMMU-Promultimodal · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoning_effortxhighconditions differ across rows → partially comparable6−21.5 ptvs gpt-6-astraobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoning_effortxhighconditions differ across rows → partially comparable3non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamond3−14.5 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2
LiveBench Reasoningreasoning · average score · variant=ReasoningOfficial boardvariantReasoningrelease2026-06-251−11.6 ptvs gpt-6-astra25 Jun 2026livebench.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. 56 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-5.4-nano:batch400Kout 128K$0.01——active5 h agosince 11 Sept 2026openrouter.aiT2
OpenRouteropenai/gpt-5.4-nano:batch400Kout 128K$0.01——active46 min agosince 12 Sept 2026openrouter.aiT2
OpenAI APIgpt-5.4-nano—$0.02$0.10 / $0.625flex_input_per_mtok=0.1flex_output_per_mtok=0.625active6 h agosince 11 Sept 2026developers.openai.comT1
OpenAI APIopenai/gpt-5.4-nano400Kout 128K$0.02——active5 h agosince 11 Sept 2026openrouter.aiT2
OpenRouteropenai/gpt-5.4-nano400Kout 128K$0.02——active46 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-5.4-nano$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

Input price · USD / 1M tokens 2 providers

Input price history of gpt-5.4-nano$0$0.05$0.10$0.15$0.20$0.25Sept 26Sept 26Sept 26Sept 26Sept 26OpenAI API: first observed → $0.20 · 11 Sept 2026OpenAI API: $0.20 → $0.10 · 11 Sept 2026OpenRouter: first observed → $0.20 · 12 Sept 2026OpenRouter: $0.20 → $0.10 · 12 Sept 2026
  • OpenAI API
  • OpenRouter
  • OpenRouter$0.20 → $0.1012 Sept 2026
  • OpenRouterfirst observed $0.2012 Sept 2026
  • OpenAI API$0.20 → $0.1011 Sept 2026
  • OpenAI APIfirst observed $0.2011 Sept 2026

Versions & Artifacts0

Version history

Context windowfirst observation only

11 Sept 2026current

Knowledge cutofffirst observation only

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.

Timeline29

Full timeline →

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.
3 claims · 1 propertiesShow all properties

Statusstatus3

Claim history for Status
ValueValid from → toStatusSourceConfidenceExtractor
deprecated → currentcurrentArtificial AnalysisT2mediumdeterministic
deprecated → currentcurrentArtificial AnalysisT2mediumdeterministic
deprecated → 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

26

Source tiers

T1T24 / 22

Freshest observation

4 h ago

Conflicts

None

Source documents 5

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenAI Platform docsdevelopers.openai.com/api/docs/pricing.md pricingT1· Official52 min ago2
OpenAI Platform docsdevelopers.openai.com/api/docs/models.md model_docsT1· Official52 min ago1
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary46 min ago11
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary4 h ago2
LiveBenchlivebench.ai/table_2026_06_25.csv leaderboardT2· Quality secondary12 h ago1

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 →