# Claude Sonnet 4.6 vs GPT-5.4 mini

> Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 45.0 on the Noometry Index. GPT-5.4 mini costs 3.6× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-sonnet-4-6-vs-gpt-5-4-mini
- Last updated: 2026-10-12
- Shared benchmarks: 43

## Summary

- They share 43 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 9 categories and GPT-5.4 mini in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 30.4.
- The biggest single-benchmark swing is ARC-AGI-2: 60.4% for Claude Sonnet 4.6 and 18.9% for GPT-5.4 mini.
- GPT-5.4 mini is cheaper at $0.75 / $4.50 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 400K.

## Snapshot

| | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.3 | 45.0 |
| Rank | 50 | 76 |
| Context | 1M | 400K |
| Input $/M | $3 | $0.75 |
| Output $/M | $15 | $4.50 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Sonnet 4.6: 46.3 (#67)
- GPT-5.4 mini: 45.2 (#72)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| FrontierCode | 24.3% | 27% |
| LMArena WebDev | 1522 | 1397 |
| SciCode | 46.8% | 49.9% |
| WeirdML | 66.1% | 60.3% |
| LMArena Coding | 1504 | 1438 |
| ALE-Bench | 1,327 | 1,189 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |

## Agentic & Tool Use

- Claude Sonnet 4.6: 39.1 (#28)
- GPT-5.4 mini: 29.9 (#81)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| DeepResearch Bench | 54.9% | 36.3% |
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |

## Reasoning

- Claude Sonnet 4.6: 46.1 (#45)
- GPT-5.4 mini: 30.4 (#85)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| ARC-AGI-2 | 60.4% | 18.9% |
| NYT Connections (extended) | 80.9% | 61.8% |
| ARC-AGI-1 | 86.5% | 63.7% |
| CritPt | 3.1% | 10% |
| Chess Puzzles | 13% | 24% |
| Thematic Generalization | 76.3% | 61.7% |
| LMArena Hard Prompts | 1484 | 1424 |
| Mystery Game Puzzles | 16% | 11% |
| DTBench | 89.9% | 80% |
| LMCA | 46.5% | 40.8% |
| Epoch Capabilities Index | 152.24 | 148.84 |
| ForecastBench | 62 | 57 |
| Kagi LLM Benchmark | — | 37.9% |

## Math

- Claude Sonnet 4.6: 52.9 (#49)
- GPT-5.4 mini: 45.5 (#75)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | 88.9% |
| ProofBench | 45% | 21% |
| LMArena Math | 1462 | 1419 |
| FrontierMath (Feb 2025 set) | 32.4% | 28.3% |
| FrontierMath Tier 4 (v1) | 8.3% | 2.1% |
| FrontierMath (Tiers 1-3) | — | 51.2% |
| FrontierMath Tier 4 | — | 9.8% |

## Knowledge

- Claude Sonnet 4.6: 51.7 (#65)
- GPT-5.4 mini: 51.5 (#67)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| GPQA Diamond | 87.4% | 86.9% |
| SimpleQA Verified | 35.5% | 29.4% |
| Vectara Hallucination Rate | 10.6% | 5.5% |
| LMArena Expert | 1500 | 1435 |

## Multimodal

- Claude Sonnet 4.6: 38.0 (#68)
- GPT-5.4 mini: 39.7 (#56)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| LMArena Vision | 1283 | 1245 |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |

## Multilingual

- Claude Sonnet 4.6: 54.4 (#41)
- GPT-5.4 mini: 51.9 (#96)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| LMArena Non-English | 1440 | 1405 |
| LMArena Chinese | 1491 | 1446 |
| LMArena French | 1465 | 1440 |
| LMArena German | 1428 | 1409 |
| LMArena Japanese | 1420 | 1374 |
| LMArena Korean | 1411 | 1368 |
| LMArena Russian | 1440 | 1417 |
| LMArena Spanish | 1464 | 1405 |

## Instruction Following

- Claude Sonnet 4.6: 77.4 (#25)
- GPT-5.4 mini: 74.1 (#102)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| LMArena Instruction Following | 1475 | 1405 |

## Long Context

- Claude Sonnet 4.6: 45.3 (#44)
- GPT-5.4 mini: 43.0 (#112)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| LMArena Longer Query | 1479 | 1407 |

## Writing & Preference

- Claude Sonnet 4.6: 70.2 (#22)
- GPT-5.4 mini: 64.0 (#58)

| Benchmark | Claude Sonnet 4.6 | GPT-5.4 mini |
|---|---|---|
| LMArena Text | 1458 | 1412 |
| LMArena Creative Writing | 1435 | 1370 |
| EQ-Bench Creative Writing | 1810 | 1665 |
| LMArena Multi-Turn | 1464 | 1429 |
| EQ-Bench 4 | 1207 | — |

## FAQ

### Is Claude Sonnet 4.6 better than GPT-5.4 mini?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 45.0 on the Noometry Index. GPT-5.4 mini costs 3.6× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

### Which is cheaper, Claude Sonnet 4.6 or GPT-5.4 mini?

GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.

### Is Claude Sonnet 4.6 or GPT-5.4 mini better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 45.2 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 400K.

### How many benchmarks do Claude Sonnet 4.6 and GPT-5.4 mini share?

43 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GPT-5.4 mini has 46.