# DeepSeek-V2.5 (Sep 2024) vs Mercury

> DeepSeek-V2.5 (Sep 2024) and Mercury score almost the same on the Noometry Index (37.6 vs 37.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-mercury
- Last updated: 2026-10-11
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 5 categories and Mercury in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V2.5 (Sep 2024) leads 25.6 to 17.5.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| Provider | DeepSeek | Inception |
| Noometry Index | 37.6 | 37.6 |
| Rank | 200 | 199 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Mercury: 38.7 (#170)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| LMArena Coding | 1309 | 1322 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- Mercury: 17.5 (#293)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1285 |
| Kagi LLM Benchmark | — | 21.6% |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Mercury: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| LMArena Math | 1288 | — |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Mercury: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| LMArena Expert | 1266 | — |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Mercury: 41.6 (#206)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| LMArena Non-English | 1273 | 1260 |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Mercury: 65.2 (#224)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| LMArena Instruction Following | 1280 | 1239 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Mercury: 38.4 (#198)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| LMArena Longer Query | 1301 | 1266 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Mercury: 46.2 (#221)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mercury |
|---|---|---|
| LMArena Text | 1294 | 1282 |
| LMArena Creative Writing | 1285 | 1191 |
| LMArena Multi-Turn | 1297 | 1282 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Mercury?

DeepSeek-V2.5 (Sep 2024) and Mercury score almost the same on the Noometry Index (37.6 vs 37.6), so choose on price, context window or the category you care about most.

### Is DeepSeek-V2.5 (Sep 2024) or Mercury better for coding?

Mercury scores higher on coding benchmarks: 38.7 versus 31.7 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Mercury share?

8 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Mercury has 9.