Capability
55.8/100
field median 57.3
#86 of 216 ranked models
Model profile · OpenAI
GPT-5.4 mini
GPT-5.4 mini scores 55.8 out of 100 and ranks #86 of 216. This profile shows 14 source-displayable benchmark rows; its strongest eligible category is Knowledge at #41. API pricing is $0.75 input and $4.5 output per million tokens, with cached input at $0.075.
Data as of July 31, 2026 · How the score is built
Strongest published evidence
Knowledge ranks #41. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Validate before choosing
14 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #110.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
$0.75input / $4.50 output
input median $1
cached $0.075 · blended $2.63
Speed
201tok/s
field median 107 tok/s
First token 3.85 s
Context
400Ktokens
field median 256,000
Maximum output length is tracked separately
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
GPT-5.4 mini category percentile values
- Agentic16th percentile
- Coding28th percentile
- ReasoningNot eligible
- Knowledge26th percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#110/130
- Coding#95/131
- ReasoningNot ranked
- Knowledge#41/55
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelGPT-5.4 mini · 55.8 score · $2.63 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic5/5 verified
- Coding2/2 verified
- ReasoningNot measured
- Knowledge2/3 verified
- Math2/2 verified
- MultilingualNot measured
- Multimodal2/2 verified
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- gpt-5.4-miniOpenAI GPT-5.4 mini model documentation
- Context window
- 400KOpenAI GPT-5.4 mini model documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, imageOpenAI model catalog
- Output modalities
- textOpenAI model catalog
- Parameters
- Not disclosed by the provider
- Availability
- OpenAI Responses APIOpenAI model catalog
- Cloud regions
- Not tracked yet
- Lifecycle
- activeOpenAI GPT-5.4 mini model documentation
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.075 per million cached input tokensOpenAI pricing
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #110 of 130Percentile 16thWeight 22%5 benchmarksVerified | 37.2 | #110 of 130 | 16th | 22% | 5 benchmarks | Verified |
| CodingRank #95 of 131Percentile 28thWeight 20%2 benchmarksVerified | 45.0 | #95 of 131 | 28th | 20% | 2 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #41 of 55Percentile 26thWeight 12%3 benchmarksMixed sources | 60.2 | #41 of 55 | 26th | 12% | 3 benchmarks | Mixed sources |
| MathRank Not rankedWeight 5%2 benchmarksVerified | 44.9 | Not ranked | Not available | 5% | 2 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%2 benchmarksVerified | 59.2 | Not ranked | Not available | 12% | 2 benchmarks | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Vibe Code BenchVibe Code Bench v1.1 | Score47.97% | Versus best verified row Best verified: Claude Opus 4.7 · 71.00% | Gap23 behind | WeightDisplay only | Benchmark exact |
| FrontierCode 1.1 Main | Score27.0% | Versus best verified row Best verified: Claude Fable 5 · 53.5% | Gap26.5 behind | WeightDisplay only | Benchmark exact |
Agentic5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score60% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap31.9 behind | WeightWeighted 38% | Provider exact |
| OSWorld-Verified | Score72.1% | Versus best verified row Best verified: Claude Mythos 5 · 85% | Gap12.9 behind | WeightWeighted 34% | Provider exact |
| MCP Atlas | Score57.7% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | Gap30.4 behind | WeightDisplay only | Provider exact |
| Toolathlon | Score42.9% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | Gap32.7 behind | WeightDisplay only | Provider exact |
| τ²-bench resultsτ²-Bench Tool-Agent-User Evaluation | Score93.4% | Versus best verified row Best verified: GPT-5.4 · 98.9% | Gap5.5 behind | WeightDisplay only | Provider exact |
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score41.5% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap23.2 behind | WeightWeighted 45% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score88% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap7.5 behind | WeightWeighted 7% | Reported |
| HLE w/o toolsHumanity's Last Exam without tools | Score28.2% | Versus best verified row Best verified: Claude Mythos 5 · 59% | Gap30.8 behind | WeightDisplay only | Provider exact |
Math2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score28.280% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap60.7 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score2.080% | Versus best verified row Best verified: GPT-5.6 Sol · 83.000% | Gap80.9 behind | WeightWeighted 10% | Benchmark exact |
Multimodal2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score76.6% | Versus best verified row Best verified: GPT-5.4 Pro · 94% | Gap17.4 behind | WeightWeighted 45% | Provider exact |
| MMMU-Pro w/ PythonMMMU-Pro with Python | Score78% | Versus best verified row Best verified: GPT-5.6 Sol · 84.6% | Gap6.6 behind | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Aug 7, 2025
GPT-5 miniScore 43.0 · $0.25 / $2
Mar 17, 2026 · you are here
GPT-5.4 miniScore 55.8 · $0.75 / $4.5
Mini
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GPT-5.4 mini ranks #86 of 216 on the public leaderboard with a score of 55.84/100. It does not yet have enough sourced coverage for a verified position.
GPT-5.4 mini is a proprietary model with a 400K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
GPT-5.4 mini sits in the GPT-5.4 family with GPT-5.4, GPT-5.4 nano, GPT-5.4 Pro. Its explicit predecessor is GPT-5 mini. 14 of 371 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #41, while its lowest eligible position is Agentic at #110. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Frequently asked questions
How does GPT-5.4 mini perform overall in AI benchmarks?
GPT-5.4 mini ranks #86 out of 216 models on the public BenchAlign leaderboard, with a score of 55.84/100. Its evidence status is Estimated, and this profile shows 14 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GPT-5.4 mini good for knowledge and understanding?
GPT-5.4 mini ranks #41 out of 55 eligible models for knowledge and understanding, with a public category score of 60.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-5.4 mini good for coding and programming?
GPT-5.4 mini ranks #95 out of 131 eligible models for coding and programming, with a public category score of 45/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-5.4 mini good for mathematics?
GPT-5.4 mini has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is GPT-5.4 mini good for agentic tool use and computer tasks?
GPT-5.4 mini ranks #110 out of 130 eligible models for agentic tool use and computer tasks, with a public category score of 37.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-5.4 mini good for multimodal and grounded tasks?
GPT-5.4 mini has source-displayable benchmark coverage for multimodal and grounded tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Which sibling models are related to GPT-5.4 mini?
GPT-5.4 mini belongs to the GPT-5.4 family. Related tracked variants include GPT-5.4, GPT-5.4 nano, GPT-5.4 Pro. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does GPT-5.4 mini have full benchmark coverage on BenchLM?
No. GPT-5.4 mini currently has 30 source-displayable rows across 371 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of GPT-5.4 mini?
GPT-5.4 mini has a documented context window of 400K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Last updated July 31, 2026. Runtime fields remain blank until a sourced snapshot exists.
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