# DeepSeek-V2.5 (Sep 2024) vs Wizardlm 70b

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 33.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-wizardlm-70b
- Last updated: 2026-10-11
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Wizardlm 70b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 49.8 to 34.8.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 37.6 | 33.0 |
| Rank | 200 | 249 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Wizardlm 70b: 31.4 (#285)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1309 | 1081 |
| 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)
- Wizardlm 70b: 20.7 (#234)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1079 |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Wizardlm 70b: 32.2 (#218)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1288 | 1116 |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Wizardlm 70b: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| LMArena Expert | 1266 | — |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Wizardlm 70b: 29.6 (#265)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1273 | 1078 |
| LMArena Chinese | 1318 | 1052 |
| LMArena German | 1258 | 1083 |
| LMArena Russian | 1289 | 1155 |
| LMArena French | 1289 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Wizardlm 70b: 56.3 (#273)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1280 | 1093 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Wizardlm 70b: 33.3 (#263)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1301 | 1097 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Wizardlm 70b: 34.8 (#269)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1294 | 1120 |
| LMArena Creative Writing | 1285 | 1149 |
| LMArena Multi-Turn | 1297 | 1108 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Wizardlm 70b?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 33.0 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Wizardlm 70b better for coding?

They score almost the same on coding (31.7 vs 31.4); test both on your own repository before choosing.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Wizardlm 70b share?

12 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Wizardlm 70b has 12.