# Mercury vs Qwen2.5 7B Instruct

> Mercury is the stronger model overall, scoring 37.6 to 29.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mercury-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 37.6 | 29.0 |
| Rank | 199 | 320 |
| Context | — | 131K |
| Input $/M | — | $0.17 |
| Output $/M | — | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Mercury: 38.7 (#170)
- Qwen2.5 7B Instruct: 36.5 (#208)

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1322 | — |
| BigCodeBench Complete | — | 46.1% |

## Agentic & Tool Use

- Mercury: —
- Qwen2.5 7B Instruct: 23.8 (#124)

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |

## Reasoning

- Mercury: 17.5 (#293)
- Qwen2.5 7B Instruct: 14.8 (#322)

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 21.6% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1285 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |

## Math

- Mercury: —
- Qwen2.5 7B Instruct: 12.6 (#306)

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |

## Knowledge

- Mercury: —
- Qwen2.5 7B Instruct: 17.0 (#286)

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| MMLU | — | 72.9% |

## Multilingual

- Mercury: 41.6 (#206)
- Qwen2.5 7B Instruct: —

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1260 | — |

## Instruction Following

- Mercury: 65.2 (#224)
- Qwen2.5 7B Instruct: 63.2 (#231)

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1239 | — |

## Long Context

- Mercury: 38.4 (#198)
- Qwen2.5 7B Instruct: —

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1266 | — |

## Writing & Preference

- Mercury: 46.2 (#221)
- Qwen2.5 7B Instruct: 48.8 (#195)

| Benchmark | Mercury | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1282 | — |
| LMArena Creative Writing | 1191 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1282 | — |

## FAQ

### Is Mercury better than Qwen2.5 7B Instruct?

Mercury is the stronger model overall, scoring 37.6 to 29.0 on the Noometry Index.

### Is Mercury or Qwen2.5 7B Instruct better for coding?

Mercury scores higher on coding benchmarks: 38.7 versus 36.5 in the Noometry coding category.

### How many benchmarks do Mercury and Qwen2.5 7B Instruct share?

0 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Qwen2.5 7B Instruct has 15.