OpenAI, proprietary
GPT-5.4 mini
GPT-5.4 mini by OpenAI ranks 76th of 354 ranked models on the Noometry Index as of October 2026, with a score of 45.0. Its strongest category is multimodal, where it ranks 56th. API pricing starts at $0.75 per million input tokens and $4.50 per million output tokens, with a 400K-token context window.
Last verified
Specifications
- Noometry rank
- #76 of 354
- Index score
- 45.0
- Evidence
- Confirmed 46 results
- Provider
- OpenAI
- Released
- March 17, 2026
- Weights
- Proprietary
- Reasoning
- Yes
- Context window
- 400K
- Max output
- 128K
- Input price
- $0.75 / M
- Output price
- $4.50 / M
- Blended price
- $1.69 / M
- Output speed
- 10 tokens/s Kagi
- Value
- #140 of 219
- Knowledge cutoff
- August 2025
- Input
- text, image
Category scores
Each category score combines every public result we have in that category.
- Coding 45.2
- Agentic & Tool Use 29.9
- Reasoning 30.4
- Math 45.5
- Knowledge 51.5
- Multimodal 39.7
- Multilingual 51.9
- Instruction Following 74.1
- Long Context 43.0
- Writing & Preference 64.0
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 45.2 | #72 | 5 |
| Agentic & Tool Use | 29.9 | #81 | 1 |
| Reasoning | 30.4 | #85 | 11 |
| Math | 45.5 | #75 | 5 |
| Knowledge | 51.5 | #67 | 4 |
| Multimodal | 39.7 | #56 | 1 |
| Multilingual | 51.9 | #96 | 1 |
| Instruction Following | 74.1 | #102 | 1 |
| Long Context | 43.0 | #112 | 1 |
| Writing & Preference | 64.0 | #58 | 4 |
Strengths and weaknesses
Categories where GPT-5.4 mini places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Writing & Preference | 64.0 | +10.3 | #58 of 312, top 19% |
| Coding | 45.2 | +6.5 | #72 of 340, top 22% |
| Knowledge | 51.5 | +14.2 | #67 of 314, top 22% |
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Agentic & Tool Use | 29.9 | −0.4 | #81 of 154, top 53% |
| Multimodal | 39.7 | +1.1 | #56 of 128, top 44% |
| Long Context | 43.0 | +2.0 | #112 of 296, top 38% |
Closest competitors
The models ranked just above and below GPT-5.4 mini. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Qwen3.7 Plus | #72 | 45.3 | $0.70 | — | Compare |
| Hy4 preview | #73 | 45.3 | $1.13 | — | Compare |
| MiMo-V2.5-Pro | #74 | 45.2 | $0.54 | — | Compare |
| Gemini 2.5 Pro | #75 | 45.0 | $3.44 | 5 | Compare |
| Amazon Nova Experimental Chat 26 02 10 | #77 | 44.5 | — | — | Compare |
| DeepSeek-V3.2-Exp | #78 | 44.3 | $0.29 | 16 | Compare |
| Hy3 | #79 | 44.2 | $0.14 | — | Compare |
| Inkling | #80 | 44.1 | $2.57 | — | Compare |
Sponsored placements are available on pages like this one. Advertise on Noometry
Benchmark results
Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.
Coding
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| FrontierCode | 27% | #28 of 37, top 76% | Epoch AI | ||
| LMArena WebDev | 1397 | #74 of 113, top 66% | high | LMArena | 2026-10-08 |
| SciCode | 49.9% | #45 of 121, top 38% | xhigh | Epoch AI | |
| WeirdML | 60.3% | #32 of 119, top 27% | high | Epoch AI | |
| WeirdML | 37.9% | none | Epoch AI | ||
| LMArena Coding | 1438 | #100 of 294, top 35% | high | LMArena | 2026-10-08 |
| ALE-Bench | 1,189 | #32 of 105, top 31% | high | Epoch AI |
Agentic & Tool Use
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| DeepResearch Bench | 36.3% | #22 of 24, top 92% | low | Epoch AI |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| ARC-AGI-2 | 13.2% | high | Epoch AI | ||
| ARC-AGI-2 | 1.1% | low | Epoch AI | ||
| ARC-AGI-2 | 4.4% | medium | Epoch AI | ||
| ARC-AGI-2 | 18.9% | #42 of 83, top 51% | xhigh | Epoch AI | |
| Kagi LLM Benchmark | 37.9% | #81 of 99, top 82% | Kagi LLM Benchmark | ||
| NYT Connections (extended) | 61.8% | #55 of 91, top 61% | xhigh reasoning | Lech Mazur benchmarks | |
| ARC-AGI-1 | 58% | high | Epoch AI | ||
| ARC-AGI-1 | 13% | low | Epoch AI | ||
| ARC-AGI-1 | 40.8% | medium | Epoch AI | ||
| ARC-AGI-1 | 63.7% | #48 of 83, top 58% | xhigh | Epoch AI | |
| CritPt | 10% | #47 of 134, top 36% | xhigh | Epoch AI | |
| Chess Puzzles | 18% | high | Epoch AI | 2026-04-15 | |
| Chess Puzzles | 3% | none | Epoch AI | 2026-08-07 | |
| Chess Puzzles | 24% | #45 of 129, top 35% | xhigh | Epoch AI | 2026-08-07 |
| Thematic Generalization | 61.7% | #12 of 23, top 53% | xhigh reasoning | Lech Mazur benchmarks | |
| LMArena Hard Prompts | 1424 | #98 of 297, top 33% | high | LMArena | 2026-10-08 |
| Mystery Game Puzzles | 8% | low | Epoch AI | 2026-08-27 | |
| Mystery Game Puzzles | 7% | medium | Epoch AI | 2026-08-27 | |
| Mystery Game Puzzles | 11% | #59 of 74, top 80% | none | Epoch AI | 2026-08-27 |
| DTBench | 80% | #76 of 151, top 51% | xhigh | Epoch AI | |
| LMCA | 40.8% | #44 of 125, top 36% | xhigh | Epoch AI | |
| Epoch Capabilities Index | 148.84 | #60 of 213, top 29% | Epoch AI | 2026-03-17 | |
| ForecastBench | 57 | #63 of 72, top 88% | Epoch AI |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | low | Epoch AI | 2026-08-28 | |
| FrontierMath (Tiers 1-3) | 17.2% | none | Epoch AI | 2026-08-28 | |
| FrontierMath (Tiers 1-3) | 51.2% | #47 of 81, top 59% | xhigh | Epoch AI | 2026-06-12 |
| FrontierMath Tier 4 | 9.8% | #53 of 63, top 85% | xhigh | Epoch AI | 2026-06-12 |
| OTIS Mock AIME 2024-2025 | 87.2% | high | Epoch AI | 2026-04-15 | |
| OTIS Mock AIME 2024-2025 | 26.7% | none | Epoch AI | 2026-08-07 | |
| OTIS Mock AIME 2024-2025 | 88.9% | #54 of 173, top 32% | xhigh | Epoch AI | 2026-08-07 |
| ProofBench | 21% | #48 of 77, top 63% | xhigh | Epoch AI | |
| LMArena Math | 1419 | #105 of 285, top 37% | high | LMArena | 2026-10-08 |
| FrontierMath (Feb 2025 set) | 28.3% | #20 of 68, top 30% | high | Epoch AI | 2026-04-15 |
| FrontierMath Tier 4 (v1) | 2.1% | #44 of 55, top 80% | high | Epoch AI | 2026-04-15 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 83.6% | high | Epoch AI | 2026-04-15 | |
| GPQA Diamond | 64.1% | none | Epoch AI | 2026-08-07 | |
| GPQA Diamond | 86.9% | #57 of 186, top 31% | xhigh | Epoch AI | 2026-08-07 |
| SimpleQA Verified | 29.4% | #59 of 77, top 77% | high | Epoch AI | 2026-08-27 |
| Vectara Hallucination Rate (lower is better) | 5.5% | #17 of 96, top 18% | Vectara Hallucination Leaderboard | ||
| LMArena Expert | 1435 | #90 of 273, top 33% | high | LMArena | 2026-10-08 |
Multimodal
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Vision | 1245 | #59 of 122, top 49% | high | LMArena | 2026-10-09 |
Multilingual
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Non-English | 1405 | #97 of 297, top 33% | high | LMArena | 2026-10-08 |
| LMArena Chinese | 1446 | #108 of 285, top 38% | high | LMArena | 2026-10-08 |
| LMArena French | 1440 | #83 of 223, top 38% | high | LMArena | 2026-10-08 |
| LMArena German | 1409 | #87 of 231, top 38% | high | LMArena | 2026-10-08 |
| LMArena Japanese | 1374 | #84 of 211, top 40% | high | LMArena | 2026-10-08 |
| LMArena Korean | 1368 | #88 of 213, top 42% | high | LMArena | 2026-10-08 |
| LMArena Russian | 1417 | #84 of 283, top 30% | high | LMArena | 2026-10-08 |
| LMArena Spanish | 1405 | #105 of 226, top 47% | high | LMArena | 2026-10-08 |
Instruction Following
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Instruction Following | 1405 | #94 of 298, top 32% | high | LMArena | 2026-10-08 |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Longer Query | 1407 | #110 of 291, top 38% | high | LMArena | 2026-10-08 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Text | 1412 | #107 of 297, top 37% | high | LMArena | 2026-10-08 |
| LMArena Creative Writing | 1370 | #110 of 295, top 38% | high | LMArena | 2026-10-08 |
| EQ-Bench Creative Writing | 1665 | #38 of 115, top 34% | EQ-Bench | ||
| LMArena Multi-Turn | 1429 | #84 of 295, top 29% | high | LMArena | 2026-10-08 |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| azure | $0.75 | $4.50 | $0.075 | 2026-10-10 |
| openai | $0.75 | $4.50 | $0.075 | 2026-10-10 |
| openrouter | $0.75 | $4.50 | $0.075 | 2026-10-10 |
Compare GPT-5.4 mini
- GPT-5.4 mini vs GPT-5 Mini
- GPT-5.4 mini vs Gemini 2.5 Pro
- GPT-5.4 mini vs Amazon Nova Experimental Chat 26 02 10
- GPT-5.4 mini vs MiMo-V2.5-Pro
- GPT-5.4 mini vs DeepSeek-V3.2-Exp
- GPT-5.4 mini vs Hy4 preview
- GPT-5.4 mini vs Hy3
- GPT-5.4 mini vs Claude Fable 5.1
- GPT-5.4 mini vs Gemini 3.8 Flash
- GPT-5.4 mini vs Kimi K3
- GPT-5.4 mini vs Grok 4.6
- GPT-5.4 mini vs Qwen3.8 Max
- GPT-5.4 mini vs GLM-5.3
- GPT-5.4 mini vs Muse Spark 1.3
Other OpenAI models
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- GPT-5.5 Pro64.3
- GPT-5.563.4
- GPT-6 Sol61.8
- GPT-5.459.4
- GPT-5.6 Terra59.2
Frequently asked questions
How good is GPT-5.4 mini?
GPT-5.4 mini by OpenAI ranks 76th of 354 ranked models on the Noometry Index as of October 2026, with a score of 45.0. Its strongest category is multimodal, where it ranks 56th. API pricing starts at $0.75 per million input tokens and $4.50 per million output tokens, with a 400K-token context window.
How much does GPT-5.4 mini cost?
GPT-5.4 mini costs $0.75 per million input tokens and $4.50 per million output tokens on OpenAI's own API, with cached input at $0.075.
What is GPT-5.4 mini's context window?
GPT-5.4 mini accepts up to 400K tokens of input and can write up to 128K tokens in one response.
Is GPT-5.4 mini open source?
No. GPT-5.4 mini is proprietary and available only through OpenAI's API and partner platforms.
How fast is GPT-5.4 mini?
GPT-5.4 mini generated about 10 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.
What are GPT-5.4 mini's strengths and weaknesses?
Relative to other ranked models, GPT-5.4 mini places best in writing & preference, coding, knowledge and lowest in agentic & tool use, multimodal, long context.
What is GPT-5.4 mini best at?
Its best category is multimodal, where it ranks 56th on Noometry.