# DeepSeek-V2 (MoE-236B, May 2024) vs Laguna M.1

> Laguna M.1 has enough public results to be ranked (#252); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-laguna-m-1
- 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 36.4.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Laguna M.1 |
|---|---|---|
| Provider | DeepSeek | Poolside |
| Noometry Index | 39.7 | 31.9 |
| Rank | — | 252 |
| Context | — | 262K |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Laguna M.1: 36.4 (#195)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1348 |
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Laguna M.1: 21.9 (#187)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Laguna M.1 |
|---|---|---|
| Surface Evolver Bench | — | 15.6% |
| 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): —
- Laguna M.1: 20.3 (#276)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Laguna M.1: —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Laguna M.1 |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Laguna M.1?

Laguna M.1 has enough public results to be ranked (#252); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Laguna M.1 better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 36.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Laguna M.1 share?

0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Laguna M.1 has 3.