# Claude Opus 4 vs GPT-4.1 mini

> Claude Opus 4 is the stronger model overall, scoring 42.9 to 33.5 on the Noometry Index. GPT-4.1 mini costs 43× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-vs-gpt-4-1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 39

## Summary

- They share 39 benchmarks with published results for both. Claude Opus 4 scores higher in 9 categories and GPT-4.1 mini in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in coding, where Claude Opus 4 leads 47.8 to 30.4.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 67.6% for Claude Opus 4 and 23.9% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 42.9 | 33.5 |
| Rank | 93 | 232 |
| Context | 200K | 1.05M |
| Input $/M | $15 | $0.40 |
| Output $/M | $75 | $1.60 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Opus 4: 47.8 (#55)
- GPT-4.1 mini: 30.4 (#286)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| SWE-bench Verified (bash only) | 67.6% | 23.9% |
| Aider Polyglot | 72% | 32.4% |
| WeirdML | 43.7% | 37.6% |
| LMArena Coding | 1442 | 1367 |
| SWE-bench Verified | 70.7% | — |
| SciCode | — | 40.4% |
| GSO | 6.9% | — |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |
| AlgoTune | 1.33 | — |

## Agentic & Tool Use

- Claude Opus 4: 34.5 (#39)
- GPT-4.1 mini: 33.0 (#52)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |

## Reasoning

- Claude Opus 4: 27.4 (#104)
- GPT-4.1 mini: 10.9 (#335)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| ARC-AGI-2 | 8.6% | 0% |
| Kagi LLM Benchmark | 74.3% | 48.6% |
| ARC-AGI-1 | 35.7% | 3.5% |
| CritPt | 0.3% | 0% |
| LMArena Hard Prompts | 1399 | 1349 |
| DTBench | 81.6% | 68.8% |
| LMCA | 37.4% | 21.1% |
| Epoch Capabilities Index | 142.67 | 135.01 |
| SimpleBench | 58.8% | — |
| Chess Puzzles | — | 7% |
| EnigmaEval | 5.6% | — |
| Mystery Game Puzzles | — | 7% |
| ForecastBench | 61.1 | — |

## Math

- Claude Opus 4: 40.2 (#80)
- GPT-4.1 mini: 23.1 (#264)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 64.4% | 44.7% |
| Omni-MATH | 61.6% | 49.1% |
| LMArena Math | 1391 | 1343 |
| MATH Level 5 | 85% | 87.3% |
| FrontierMath (Feb 2025 set) | 4.5% | 4.5% |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Claude Opus 4: 43.9 (#82)
- GPT-4.1 mini: 34.7 (#183)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 76.3% | 65.8% |
| MMLU-Pro | 87.5% | 78.3% |
| GPQA (HELM) | 70.8% | 61.4% |
| LMArena Expert | 1384 | 1338 |
| Humanity's Last Exam | 10.7% | — |
| SimpleQA Verified | — | 12.7% |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |

## Multimodal

- Claude Opus 4: 30.9 (#101)
- GPT-4.1 mini: 35.2 (#77)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1192 | 1181 |
| GeoBench | 49% | — |
| VPCT | 38% | — |

## Multilingual

- Claude Opus 4: 49.0 (#133)
- GPT-4.1 mini: 45.9 (#161)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1362 | 1318 |
| LMArena Chinese | 1386 | 1329 |
| LMArena French | 1370 | 1357 |
| LMArena German | 1391 | 1349 |
| LMArena Japanese | 1332 | 1291 |
| LMArena Korean | 1318 | 1298 |
| LMArena Russian | 1392 | 1324 |
| LMArena Spanish | 1388 | 1319 |

## Instruction Following

- Claude Opus 4: 77.3 (#26)
- GPT-4.1 mini: 73.9 (#113)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| IFEval | 91.8% | 90.4% |
| LMArena Instruction Following | 1406 | 1332 |

## Long Context

- Claude Opus 4: 39.5 (#167)
- GPT-4.1 mini: 31.8 (#270)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| Fiction.LiveBench | 61.1% | 44.4% |
| LMArena Longer Query | 1422 | 1344 |

## Writing & Preference

- Claude Opus 4: 61.4 (#85)
- GPT-4.1 mini: 48.8 (#193)

| Benchmark | Claude Opus 4 | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1377 | 1341 |
| LMArena Creative Writing | 1386 | 1300 |
| EQ-Bench Creative Writing | 1580 | 1147 |
| WildBench | 85.2% | 83.8% |
| LMArena Multi-Turn | 1396 | 1354 |
| Short-Story Creative Writing | 83.6% | — |

## FAQ

### Is Claude Opus 4 better than GPT-4.1 mini?

Claude Opus 4 is the stronger model overall, scoring 42.9 to 33.5 on the Noometry Index. GPT-4.1 mini costs 43× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 4 or GPT-4.1 mini?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Claude Opus 4 lists at $15 and $75.

### Is Claude Opus 4 or GPT-4.1 mini better for coding?

Claude Opus 4 scores higher on coding benchmarks: 47.8 versus 30.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 200K.

### How many benchmarks do Claude Opus 4 and GPT-4.1 mini share?

39 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and GPT-4.1 mini has 47.