# Claude Opus 4.5 vs Mistral Nemo

> Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 25.9 on the Noometry Index. Mistral Nemo costs 67× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-5-vs-mistral-nemo
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Claude Opus 4.5 scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4.5 leads 56.4 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 86% for Claude Opus 4.5 and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
- Claude Opus 4.5 accepts more context: 200K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 50.5 | 25.9 |
| Rank | 39 | 332 |
| Context | 200K | 128K |
| Input $/M | $5 | $0.15 |
| Output $/M | $25 | $0.15 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4.5: 55.4 (#21)
- Mistral Nemo: —

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| LMArena WebDev | 1493 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| WeirdML | 63.7% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |

## Agentic & Tool Use

- Claude Opus 4.5: 47.2 (#11)
- Mistral Nemo: 23.3 (#118)

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 77.5% | 27.6% |
| BALROG | 43.5% | 17.6% |
| Terminal-Bench | 63.1% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |

## Reasoning

- Claude Opus 4.5: 42.5 (#43)
- Mistral Nemo: 19.9 (#230)

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| DTBench | 89.9% | 48.6% |
| Epoch Capabilities Index | 150.1 | 118.63 |
| ARC-AGI-2 | 37.6% | — |
| SimpleBench | 62% | — |
| Kagi LLM Benchmark | 80.2% | — |
| NYT Connections (extended) | 52.5% | — |
| ARC-AGI-1 | 80% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1476 | — |
| Mystery Game Puzzles | 22% | — |
| LMCA | 44.5% | — |
| ForecastBench | 60.7 | — |
| PIQA | — | 83.5% |

## Math

- Claude Opus 4.5: 38.5 (#85)
- Mistral Nemo: 23.5 (#263)

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 86.1% | — |
| ProofBench | 36% | — |
| LMArena Math | 1463 | — |
| MATH Level 5 | — | 10.8% |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 84.2% |

## Knowledge

- Claude Opus 4.5: 56.4 (#38)
- Mistral Nemo: 12.3 (#293)

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 86% | 29.9% |
| Humanity's Last Exam | 25.2% | — |
| SimpleQA Verified | 45.7% | — |
| Vectara Hallucination Rate | 10.9% | — |
| LMArena Expert | 1488 | — |
| BoolQ | — | 82.5% |

## Multimodal

- Claude Opus 4.5: 31.1 (#99)
- Mistral Nemo: —

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |

## Multilingual

- Claude Opus 4.5: 54.5 (#45)
- Mistral Nemo: —

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1470 | — |
| LMArena French | 1471 | — |
| LMArena German | 1449 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1424 | — |
| LMArena Russian | 1448 | — |
| LMArena Spanish | 1455 | — |

## Instruction Following

- Claude Opus 4.5: 77.7 (#20)
- Mistral Nemo: —

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1478 | — |

## Long Context

- Claude Opus 4.5: 46.4 (#21)
- Mistral Nemo: —

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| CL-bench | 21.1% | — |
| LMArena Longer Query | 1480 | — |

## Writing & Preference

- Claude Opus 4.5: 68.2 (#28)
- Mistral Nemo: 28.6 (#291)

| Benchmark | Claude Opus 4.5 | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1687 | 881 |
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1445 | — |
| LMArena Multi-Turn | 1466 | — |

## FAQ

### Is Claude Opus 4.5 better than Mistral Nemo?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 25.9 on the Noometry Index. Mistral Nemo costs 67× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 4.5 or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

### Which has the bigger context window?

Claude Opus 4.5 does, with 200K tokens against 128K.

### How many benchmarks do Claude Opus 4.5 and Mistral Nemo share?

6 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Mistral Nemo has 10.