# GPT-5.4 vs GPT-5 Mini

> GPT-5.4 is the stronger model overall, scoring 59.5 to 41.7 on the Noometry Index. GPT-5 Mini costs 8.2× less per token, which makes it the better buy when GPT-5.4's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-4-vs-gpt-5-mini
- Last updated: 2026-10-10
- Shared benchmarks: 47

## Summary

- They share 47 benchmarks with published results for both. GPT-5.4 scores higher in 10 categories and GPT-5 Mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.4 leads 61.7 to 24.1.
- The biggest single-benchmark swing is ARC-AGI-2: 74% for GPT-5.4 and 4.4% for GPT-5 Mini.
- GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $2.50 / $15 for GPT-5.4.
- GPT-5.4 accepts more context: 1.05M tokens versus 400K.

## Snapshot

| | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 59.5 | 41.7 |
| Rank | 14 | 115 |
| Context | 1.05M | 400K |
| Input $/M | $2.50 | $0.25 |
| Output $/M | $15 | $2 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.4: 52.8 (#28)
- GPT-5 Mini: 40.0 (#134)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| SWE-bench Verified | 76.9% | 64.7% |
| SciCode | 56.6% | 39.2% |
| WeirdML | 77.7% | 52.7% |
| LMArena Coding | 1497 | 1406 |
| ALE-Bench | 1,607 | 799.77 |
| AlgoTune | 1.85 | 1.38 |
| DeepSWE | 51.8% | — |
| SWE-bench Verified (bash only) | — | 59.8% |
| LMArena WebDev | 1465 | — |
| SWE-bench Multilingual | — | 39.7% |
| GSO | 31.4% | — |
| MirrorCode | 15.6% | — |

## Agentic & Tool Use

- GPT-5.4: 46.5 (#12)
- GPT-5 Mini: 31.0 (#64)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| Terminal-Bench | 81.8% | 34.8% |
| Vending-Bench 2 | 6,144 | -31.18 |
| APEX-Agents | 52.4% | — |
| Berkeley Function Calling Leaderboard | — | 55.5% |
| τ²-bench Banking | 39.4% | — |
| DeepResearch Bench | 35.1% | — |
| PostTrainBench | 19% | — |
| GBAEval | 45.1% | — |
| LMArena Search | 1197 | — |
| METR Time Horizons | 74.3% | — |

## Reasoning

- GPT-5.4: 61.7 (#17)
- GPT-5 Mini: 24.1 (#153)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| ARC-AGI-2 | 74% | 4.4% |
| Kagi LLM Benchmark | 63.8% | 70.3% |
| ARC-AGI-1 | 93.7% | 54.3% |
| CritPt | 23.4% | 0% |
| Chess Puzzles | 44% | 30% |
| EnigmaEval | 16% | 8.2% |
| LMArena Hard Prompts | 1485 | 1380 |
| Mystery Game Puzzles | 37% | 10% |
| DTBench | 94.4% | 80.5% |
| LMCA | 52% | 34.2% |
| Epoch Capabilities Index | 156.92 | 145.51 |
| ForecastBench | 59.5 | 61 |
| NYT Connections (extended) | 91.3% | — |
| Thematic Generalization | 80% | — |
| EBR-Bench | 25.4% | — |

## Math

- GPT-5.4: 73.3 (#14)
- GPT-5 Mini: 46.3 (#59)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 78.6% | 46.7% |
| FrontierMath Tier 4 | 49% | 12.2% |
| OTIS Mock AIME 2024-2025 | 97.8% | 86.7% |
| ProofBench | 56% | 9% |
| LMArena Math | 1488 | 1377 |
| FrontierMath (Feb 2025 set) | 47.6% | 27.2% |
| FrontierMath Tier 4 (v1) | 27.1% | 6.3% |
| MathArena Final-Answer Competitions | 83.1% | — |
| Omni-MATH | — | 72.2% |
| MATH Level 5 | — | 97.8% |

## Knowledge

- GPT-5.4: 65.3 (#13)
- GPT-5 Mini: 45.5 (#80)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| GPQA Diamond | 93.3% | 75% |
| Humanity's Last Exam | 36.2% | 19.4% |
| SimpleQA Verified | 45.1% | 21.6% |
| Vectara Hallucination Rate | 7% | 12.9% |
| LMArena Expert | 1507 | 1377 |
| MMLU-Pro | — | 83.5% |
| Confabulations | — | 13.3% |
| GPQA (HELM) | — | 75.6% |

## Multimodal

- GPT-5.4: 43.8 (#19)
- GPT-5 Mini: 35.0 (#80)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| LMArena Vision | 1302 | 1202 |
| VPCT | — | 40.2% |
| Blueprint-Bench 2 | 27.1% | — |
| Furniture Assembly | 37.5% | — |
| LMArena Document | 1471 | — |

## Multilingual

- GPT-5.4: 56.4 (#22)
- GPT-5 Mini: 49.1 (#131)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| LMArena Non-English | 1465 | 1363 |
| LMArena Chinese | 1520 | 1387 |
| LMArena French | 1493 | 1385 |
| LMArena German | 1472 | 1366 |
| LMArena Japanese | 1484 | 1342 |
| LMArena Korean | 1449 | 1306 |
| LMArena Russian | 1480 | 1362 |
| LMArena Spanish | 1453 | 1355 |

## Instruction Following

- GPT-5.4: 77.3 (#25)
- GPT-5 Mini: 76.4 (#43)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| LMArena Instruction Following | 1469 | 1357 |
| IFEval | — | 92.7% |

## Long Context

- GPT-5.4: 50.3 (#8)
- GPT-5 Mini: 41.9 (#127)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| LMArena Longer Query | 1474 | 1355 |
| Fiction.LiveBench | — | 69.4% |
| CL-bench | 27.9% | — |
| CL-bench Life | 21.7% | — |

## Writing & Preference

- GPT-5.4: 72.1 (#18)
- GPT-5 Mini: 55.4 (#143)

| Benchmark | GPT-5.4 | GPT-5 Mini |
|---|---|---|
| LMArena Text | 1469 | 1373 |
| LMArena Creative Writing | 1439 | 1325 |
| EQ-Bench Creative Writing | 1840 | 1313 |
| LMArena Multi-Turn | 1482 | 1363 |
| Short-Story Creative Writing | — | 83.1% |
| WildBench | — | 85.5% |
| EQ-Bench 4 | 1272 | — |

## FAQ

### Is GPT-5.4 better than GPT-5 Mini?

GPT-5.4 is the stronger model overall, scoring 59.5 to 41.7 on the Noometry Index. GPT-5 Mini costs 8.2× less per token, which makes it the better buy when GPT-5.4's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.4 or GPT-5 Mini?

GPT-5 Mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GPT-5.4 lists at $2.50 and $15.

### Is GPT-5.4 or GPT-5 Mini better for coding?

GPT-5.4 scores higher on coding benchmarks: 52.8 versus 40.0 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.4 does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-5.4 and GPT-5 Mini share?

47 benchmarks have published results for both models. GPT-5.4 has 68 scored results on Noometry and GPT-5 Mini has 60.