Model profile
GPT-5.4 mini
Evidence coverage
30 of 323 tracked benchmarks are published. 13 are verified and 17 provisional. 7 of 8 categories are measured.
- Published / tracked
- 30 / 323
- Verified
- 13
- Provisional
- 17
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic9 benchmarksMixed evidence
- Coding4 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge9 benchmarksMixed evidence
- Math2 benchmarksVerified
- Multilingual0 benchmarksNot measured
- Multimodal3 benchmarksMixed evidence
- Inst. Following1 benchmarkReported
GPT-5.4 mini ranks #75 out of 200 models on the public leaderboard with an overall score of 56.77/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
GPT-5.4 mini is a proprietary model with a 400K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
GPT-5.4 mini sits inside the GPT-5.4 family alongside GPT-5.4, GPT-5.4 nano, GPT-5.4 Pro. BenchLM links it directly to GPT-5 mini as the earlier related model in that lineage. This profile currently has 30 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Knowledge (#37), while its weakest is Agentic (#100). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 56.58–57.01
- Qwen3.5 397BAlibabaCompare#7157.01Qwen3.5 397B is #71 with a score of 57.01.
- Qwen3.5-35B-A3BAlibabaCompare#7256.97Qwen3.5-35B-A3B is #72 with a score of 56.97.
- GPT-5.3-Codex-SparkOpenAICompare#7356.91GPT-5.3-Codex-Spark is #73 with a score of 56.91.
- Kimi K2.6Moonshot AICompare#7456.79Kimi K2.6 is #74 with a score of 56.79.
- GPT-5.4 miniCurrent modelOpenAI#7556.77GPT-5.4 mini is #75 with a score of 56.77.
- Grok 4 Fast (Reasoning)xAICompare#7656.59Grok 4 Fast (Reasoning) is #76 with a score of 56.59.
- Claude Haiku 4.5AnthropicCompare#7756.58Claude Haiku 4.5 is #77 with a score of 56.58.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Knowledge29%Eligible cohort rank #37 of 52Category score 63.4
- Coding26%Eligible cohort rank #90 of 122Category score 46.0
- Agentic16%Eligible cohort rank #100 of 119Category score 37.5
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #100 of 119Percentile 16thWeight 22%9 benchmarksMixed sources | 37.5 | #100 of 119 | 16th | 22% | 9 benchmarks | Mixed sources |
| CodingRank #90 of 122Percentile 26thWeight 20%4 benchmarksMixed sources | 46.0 | #90 of 122 | 26th | 20% | 4 benchmarks | Mixed sources |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 40.7 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank #37 of 52Percentile 29thWeight 12%9 benchmarksMixed sources | 63.4 | #37 of 52 | 29th | 12% | 9 benchmarks | Mixed sources |
| MathRank Not rankedWeight 5%2 benchmarksVerified | 44.7 | 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%3 benchmarksMixed sources | 58.2 | Not ranked | Not available | 12% | 3 benchmarks | Mixed sources |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 87.4 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1449 | ±3.9 | 56,941 |
| Coding | 1496 | ±6.2 | 15,508 |
| Math | 1438 | ±11.3 | 3,060 |
| Instruction Following | 1435 | ±5.7 | 18,980 |
| Creative Writing | 1405 | ±7.5 | 9,308 |
| Multi-turn | 1471 | ±7.0 | 10,611 |
| Hard Prompts | 1471 | ±4.7 | 37,035 |
| Hard Prompts (English) | 1468 | ±5.9 | 18,266 |
| Longer Query | 1449 | ±5.6 | 23,961 |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic9 benchmarks
τ²-Bench Tool-Agent-User Evaluation
Artificial Analysis Agentic Index
GDPval-AA normalized
Coding4 benchmarks
Vibe Code Bench v1.1
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge9 benchmarks
Humanity's Last Exam
Graduate-Level Google-Proof Q&A
Humanity's Last Exam without tools
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Math2 benchmarks
FrontierMath v2 Tiers 1-3
FrontierMath v2 Tier 4
Multimodal3 benchmarks
Massive Multi-discipline Multimodal Understanding Pro
MMMU-Pro with Python
Artificial Analysis MMMU-Pro
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does GPT-5.4 mini perform overall in AI benchmarks?
GPT-5.4 mini currently ranks #75 out of 200 models on BenchLM's provisional leaderboard with an overall score of 56.77. It is created by OpenAI. Its published context window is 400K.
Is GPT-5.4 mini good for knowledge and understanding?
GPT-5.4 mini ranks #37 out of 52 models in knowledge and understanding benchmarks with an average score of 63.4. There are stronger options in this category.
Is GPT-5.4 mini good for coding and programming?
GPT-5.4 mini ranks #90 out of 122 models in coding and programming benchmarks with an average score of 46. There are stronger options in this category.
Is GPT-5.4 mini good for mathematics?
GPT-5.4 mini has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is GPT-5.4 mini good for reasoning and logic?
GPT-5.4 mini has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is GPT-5.4 mini good for agentic tool use and computer tasks?
GPT-5.4 mini ranks #100 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 37.5. There are stronger options in this category.
Is GPT-5.4 mini good for multimodal and grounded tasks?
GPT-5.4 mini has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is GPT-5.4 mini good for instruction following?
GPT-5.4 mini has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Which sibling models are related to GPT-5.4 mini?
GPT-5.4 mini belongs to the GPT-5.4 family. Related variants on BenchLM include GPT-5.4, GPT-5.4 nano, GPT-5.4 Pro.
Does GPT-5.4 mini have full benchmark coverage on BenchLM?
Not yet. GPT-5.4 mini currently has 30 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of GPT-5.4 mini?
GPT-5.4 mini has a published context window of 400K, which determines how much text it can process in a single interaction.
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