Model comparison
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.
Last verified . 0 shared benchmarks.
DeepSeek
PoolsideSummary
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 36.4.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Laguna M.1 | |
|---|---|---|
| Provider | DeepSeek | Poolside |
| Noometry Index | 39.7 | 31.9 |
| Released | 2024-05-07 | 2026-04-28 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 3 |
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Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
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 Not comparable
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 Not comparable
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 Not comparable
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% | — |
Frequently asked questions
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.