# Deepseek Coder v2 vs Mercury

> Mercury is the stronger model overall, scoring 37.6 to 35.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-mercury
- Last updated: 2026-10-11
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. Deepseek Coder v2 scores higher in 1 category and Mercury in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury leads 46.2 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Deepseek Coder v2 | Mercury |
|---|---|---|
| Provider | DeepSeek | Inception |
| Noometry Index | 35.9 | 37.6 |
| Rank | 220 | 199 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Mercury: 38.7 (#170)

| Benchmark | Deepseek Coder v2 | Mercury |
|---|---|---|
| LMArena Coding | 1251 | 1322 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Mercury: 17.5 (#293)

| Benchmark | Deepseek Coder v2 | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1285 |
| Kagi LLM Benchmark | — | 21.6% |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Mercury: —

| Benchmark | Deepseek Coder v2 | Mercury |
|---|---|---|
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Mercury: —

| Benchmark | Deepseek Coder v2 | Mercury |
|---|---|---|
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Mercury: 41.6 (#206)

| Benchmark | Deepseek Coder v2 | Mercury |
|---|---|---|
| LMArena Non-English | 1182 | 1260 |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Mercury: 65.2 (#224)

| Benchmark | Deepseek Coder v2 | Mercury |
|---|---|---|
| LMArena Instruction Following | 1180 | 1239 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Mercury: 38.4 (#198)

| Benchmark | Deepseek Coder v2 | Mercury |
|---|---|---|
| LMArena Longer Query | 1219 | 1266 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Mercury: 46.2 (#221)

| Benchmark | Deepseek Coder v2 | Mercury |
|---|---|---|
| LMArena Text | 1191 | 1282 |
| LMArena Creative Writing | 1120 | 1191 |
| LMArena Multi-Turn | 1177 | 1282 |

## FAQ

### Is Deepseek Coder v2 better than Mercury?

Mercury is the stronger model overall, scoring 37.6 to 35.9 on the Noometry Index.

### Is Deepseek Coder v2 or Mercury better for coding?

They score almost the same on coding (38.1 vs 38.7); test both on your own repository before choosing.

### How many benchmarks do Deepseek Coder v2 and Mercury share?

8 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Mercury has 9.