# DeepSeek-V2.5 (Sep 2024) vs Llama2 70b Steerlm Chat

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-llama2-70b-steerlm-chat
- Last updated: 2026-10-12
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 49.8 to 31.6.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 37.6 | 31.8 |
| Rank | 200 | 268 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Llama2 70b Steerlm Chat: 29.9 (#300)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1309 | 1025 |
| 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)
- Llama2 70b Steerlm Chat: 20.0 (#246)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1047 |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Llama2 70b Steerlm Chat: 31.3 (#226)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1288 | 1072 |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Llama2 70b Steerlm Chat: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Expert | 1266 | — |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Llama2 70b Steerlm Chat: 28.8 (#270)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1273 | 1063 |
| 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)
- Llama2 70b Steerlm Chat: 54.2 (#279)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1280 | 1060 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Llama2 70b Steerlm Chat: 30.4 (#288)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1301 | 998 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Llama2 70b Steerlm Chat: 31.6 (#283)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1294 | 1098 |
| LMArena Creative Writing | 1285 | 1091 |
| LMArena Multi-Turn | 1297 | 1058 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Llama2 70b Steerlm Chat?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.8 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Llama2 70b Steerlm Chat better for coding?

DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.7 versus 29.9 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Llama2 70b Steerlm Chat share?

9 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Llama2 70b Steerlm Chat has 9.