# DeepSeek-V2 (MoE-236B, May 2024) vs Llama2 70b Steerlm Chat

> Llama2 70b Steerlm Chat has enough public results to be ranked (#265); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-llama2-70b-steerlm-chat
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 29.3.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Noometry Index | 39.7 | 31.2 |
| Rank | — | 265 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Llama2 70b Steerlm Chat: 29.3 (#295)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1025 |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama2 70b Steerlm Chat: 19.1 (#245)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | — | 1047 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.78 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama2 70b Steerlm Chat: 28.8 (#223)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | — | 1072 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama2 70b Steerlm Chat: —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama2 70b Steerlm Chat: 28.9 (#265)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | — | 1064 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama2 70b Steerlm Chat: 54.5 (#274)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | — | 1061 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama2 70b Steerlm Chat: 30.4 (#283)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | — | 998 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Llama2 70b Steerlm Chat: 31.8 (#278)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | — | 1098 |
| LMArena Creative Writing | — | 1091 |
| LMArena Multi-Turn | — | 1058 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Llama2 70b Steerlm Chat?

Llama2 70b Steerlm Chat has enough public results to be ranked (#265); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Llama2 70b Steerlm Chat better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 29.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Llama2 70b Steerlm Chat share?

0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Llama2 70b Steerlm Chat has 9.