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OpenAI · GPT
No. 09
GPT-5.4
The affordable workhorse: near-flagship reliability at half the price.
Field notes
- Context window
- 1.1Mtokens
- Max output
- 128Ktokens
- Input price
- $2.50/ 1M tokens
- Output price
- $15/ 1M tokens
- Cached input
- $0.25/ 1M tokens
- Modalities
- Text, Image, Pdf
- Knowledge cutoff
- Oct 2025
- Released
- Mar 2026
- Approx. speed
- —
Overview
What this model is
GPT-5.4 is OpenAI's balanced workhorse, delivering near-flagship reasoning and coding at exactly half the per-token cost of GPT-5.5. It was the flagship for about six weeks before GPT-5.5 launched and retains genuinely reliable agentic behavior — an OpenAI-grade default for most production workloads that want strong intelligence without flagship pricing. Roughly 1M-token context with full multimodal input.
Strengths
- Strong, reliable all-round reasoning and coding
- Half the price of the flagship
- Roughly 1M-token context window
- Multimodal text, image, and PDF input
- Good balance of speed and quality
Trade-offs
- Trails GPT-5.5 on the hardest tasks
- Pricier than mini/nano for bulk work
- Long-context premium applies above 272K tokens
Best for
- General-purpose production assistants
- Everyday coding and refactoring
- Document analysis and summarization
- Agentic tasks on a budget
- RAG over large corpora
Not ideal for
- Absolute frontier reasoning (use GPT-5.5 Pro)
- Ultra-cheap high-volume classification (use nano)
Capabilities
Capability profile
Normalized 0–100 scores, comparable across the whole catalog.
- Reasoning
- 90
- Coding
- 90
- Math
- 90
- Writing
- 88
- Knowledge
- 90
- Speed
- 62
- Agentic
- 88
- Vision
- 87
- Multilingual
- 88
- Long Context
- 88
Benchmarks
How it scores
Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.
Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
51/ 100
BenchmarkResult
Artificial Analysis Intelligence Indexindependent
GeneralArtificial Analysis
51%
SWE-bench Verifiedindependent
CodingSWE-bench
76.9%
SWE-bench Proindependent
CodingSWE-bench Pro
59.1%
τ-benchindependent
Agenticτ-bench
78.3%
GPQA Diamondindependent
ReasoningIndependent aggregators
88.4%
LiveBenchindependent
GeneralLiveBench
80.3%
Terminal-Bench Hardindependent
AgenticArtificial Analysis
57.6%
DeepSWEindependent
CodingDatacurve
56%
LMArena Eloindependent
GeneralLMArena
1495Elo