# Claude Opus 4.5 vs Qwen2.5 7B Instruct

> Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 33× 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-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Claude Opus 4.5 scores higher in 7 categories and Qwen2.5 7B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4.5 leads 56.5 to 17.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 86.1% for Claude Opus 4.5 and 2.5% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
- Claude Opus 4.5 accepts more context: 200K tokens versus 131K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 50.5 | 29.0 |
| Rank | 47 | 320 |
| Context | 200K | 131K |
| Input $/M | $5 | $0.17 |
| Output $/M | $25 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4.5: 54.8 (#27)
- Qwen2.5 7B Instruct: 36.5 (#208)

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| LMArena WebDev | 1494 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| WeirdML | 63.7% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1504 | — |
| BigCodeBench Complete | — | 46.1% |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |

## Agentic & Tool Use

- Claude Opus 4.5: 47.3 (#12)
- Qwen2.5 7B Instruct: 23.8 (#124)

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | 43.5% | 7.8% |
| Terminal-Bench | 63.1% | — |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| 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: 42.6 (#51)
- Qwen2.5 7B Instruct: 14.8 (#322)

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | 12% | 0% |
| DTBench | 89.9% | 47.7% |
| LMCA | 44.5% | 6.4% |
| Epoch Capabilities Index | 150.09 | 118.51 |
| ARC-AGI-2 | 37.6% | — |
| SimpleBench | 62% | — |
| Kagi LLM Benchmark | 80.2% | — |
| NYT Connections (extended) | 52.5% | — |
| ARC-AGI-1 | 80% | — |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1476 | — |
| Mystery Game Puzzles | 22% | — |
| ForecastBench | 60.7 | — |

## Math

- Claude Opus 4.5: 38.6 (#132)
- Qwen2.5 7B Instruct: 12.6 (#306)

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.1% | 2.5% |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 36% | — |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1463 | — |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Claude Opus 4.5: 56.5 (#44)
- Qwen2.5 7B Instruct: 17.0 (#286)

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 86% | 35.5% |
| Humanity's Last Exam | 25.2% | — |
| SimpleQA Verified | 45.7% | — |
| MMLU-Pro | — | 53.9% |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1487 | — |
| MMLU | — | 72.9% |

## Multimodal

- Claude Opus 4.5: 31.4 (#107)
- Qwen2.5 7B Instruct: —

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |

## Multilingual

- Claude Opus 4.5: 54.3 (#47)
- Qwen2.5 7B Instruct: —

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1470 | — |
| LMArena French | 1471 | — |
| LMArena German | 1449 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1424 | — |
| LMArena Russian | 1447 | — |
| LMArena Spanish | 1458 | — |

## Instruction Following

- Claude Opus 4.5: 77.5 (#19)
- Qwen2.5 7B Instruct: 63.2 (#231)

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1478 | — |

## Long Context

- Claude Opus 4.5: 46.5 (#22)
- Qwen2.5 7B Instruct: —

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| CL-bench | 21.1% | — |
| LMArena Longer Query | 1480 | — |

## Writing & Preference

- Claude Opus 4.5: 68.1 (#28)
- Qwen2.5 7B Instruct: 48.8 (#195)

| Benchmark | Claude Opus 4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1445 | — |
| EQ-Bench Creative Writing | 1687 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1466 | — |

## FAQ

### Is Claude Opus 4.5 better than Qwen2.5 7B Instruct?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 33× 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 Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

### Is Claude Opus 4.5 or Qwen2.5 7B Instruct better for coding?

Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 36.5 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4.5 does, with 200K tokens against 131K.

### How many benchmarks do Claude Opus 4.5 and Qwen2.5 7B Instruct share?

7 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Qwen2.5 7B Instruct has 15.