# Claude Opus 4.1 vs GPT-4o mini

> Claude Opus 4.1 is the stronger model overall, scoring 40.8 to 25.4 on the Noometry Index. GPT-4o mini costs 114× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-1-vs-gpt-4o-mini
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. Claude Opus 4.1 scores higher in 10 categories and GPT-4o mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4.1 leads 41.9 to 17.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.9% for Claude Opus 4.1 and 6.9% for GPT-4o mini.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Claude Opus 4.1 accepts more context: 200K tokens versus 128K.

## Snapshot

| | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 40.8 | 25.4 |
| Rank | 136 | 337 |
| Context | 200K | 128K |
| Input $/M | $15 | $0.15 |
| Output $/M | $75 | $0.60 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Opus 4.1: 44.3 (#69)
- GPT-4o mini: 21.6 (#330)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| WeirdML | 45.9% | 11.8% |
| LMArena Coding | 1479 | 1290 |
| SWE-bench Verified | 73.3% | — |
| Aider Polyglot | — | 3.6% |
| LMArena WebDev | 1390 | — |
| BigCodeBench Instruct | — | 46.1% |
| LiveBench Coding | — | 43.1% |
| BigCodeBench Complete | — | 57.4% |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |

## Agentic & Tool Use

- Claude Opus 4.1: 34.8 (#38)
- GPT-4o mini: 27.2 (#95)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| Terminal-Bench | 38% | — |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| BALROG | — | 17.4% |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |

## Reasoning

- Claude Opus 4.1: 31.6 (#70)
- GPT-4o mini: 8.7 (#343)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| SimpleBench | 60% | 10.7% |
| Chess Puzzles | 7% | 0% |
| LMArena Hard Prompts | 1443 | 1267 |
| Mystery Game Puzzles | 21% | 12% |
| DTBench | 80% | 54.4% |
| LMCA | 37.1% | 10.4% |
| Epoch Capabilities Index | 144.11 | 126.56 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 28.8% |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| LiveBench Reasoning | — | 32.8% |
| LiveBench Data Analysis | — | 50% |
| ForecastBench | 62 | — |
| LiveBench | — | 41.3% |
| PIQA | — | 88.7% |

## Math

- Claude Opus 4.1: 22.0 (#267)
- GPT-4o mini: 9.9 (#307)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 12.6% | 0.7% |
| OTIS Mock AIME 2024-2025 | 68.9% | 6.9% |
| LMArena Math | 1430 | 1267 |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 28% |
| LiveBench Math | — | 36.3% |
| MATH Level 5 | — | 52.6% |
| FrontierMath (Feb 2025 set) | 7.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 91.3% |

## Knowledge

- Claude Opus 4.1: 41.9 (#93)
- GPT-4o mini: 17.7 (#279)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| GPQA Diamond | 77.3% | 37.7% |
| Confabulations | 17.1% | 37.2% |
| LMArena Expert | 1439 | 1235 |
| Humanity's Last Exam | 11.5% | — |
| SimpleQA Verified | — | 8.3% |
| MMLU-Pro | — | 60.3% |
| Vectara Hallucination Rate | 11.8% | — |
| GPQA (HELM) | — | 36.8% |
| BoolQ | — | 88.7% |
| MMLU | — | 81.8% |

## Multimodal

- Claude Opus 4.1: 26.2 (#114)
- GPT-4o mini: 25.3 (#117)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| VPCT | 35% | 34% |
| LMArena Vision | — | 1066 |
| Video-MME | — | 64.8% |
| GeoBench | — | 64% |

## Multilingual

- Claude Opus 4.1: 52.1 (#90)
- GPT-4o mini: 42.2 (#194)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 1405 | 1266 |
| LMArena Chinese | 1427 | 1264 |
| LMArena French | 1432 | 1296 |
| LMArena German | 1412 | 1272 |
| LMArena Japanese | 1378 | 1216 |
| LMArena Korean | 1381 | 1195 |
| LMArena Russian | 1421 | 1275 |
| LMArena Spanish | 1448 | 1276 |

## Instruction Following

- Claude Opus 4.1: 75.8 (#53)
- GPT-4o mini: 62.1 (#234)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| LMArena Instruction Following | 1436 | 1259 |
| LiveBench Instruction Following | — | 56.8% |
| IFEval | — | 78.2% |

## Long Context

- Claude Opus 4.1: 44.5 (#60)
- GPT-4o mini: 39.1 (#181)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | 1455 | 1289 |

## Writing & Preference

- Claude Opus 4.1: 62.6 (#70)
- GPT-4o mini: 39.7 (#243)

| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| LMArena Text | 1419 | 1286 |
| LMArena Creative Writing | 1412 | 1268 |
| Short-Story Creative Writing | 84.7% | 67.2% |
| LMArena Multi-Turn | 1444 | 1285 |
| EQ-Bench Creative Writing | — | 873 |
| WildBench | — | 79.1% |
| LiveBench Language | — | 28.6% |

## FAQ

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

Claude Opus 4.1 is the stronger model overall, scoring 40.8 to 25.4 on the Noometry Index. GPT-4o mini costs 114× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.

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

GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Opus 4.1 lists at $15 and $75.

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

Claude Opus 4.1 scores higher on coding benchmarks: 44.3 versus 21.6 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4.1 does, with 200K tokens against 128K.

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

30 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and GPT-4o mini has 60.