Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Olmo 3.1 32b Instruct
Olmo 3.1 32b Instruct has enough public results to be ranked (#168); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 40.3 | 39.4 |
| Released | 2024-05-07 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 16 |
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Category by category
Coding Too close to call
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1347 |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | — | 1322 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | — | 1305 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | — | 1308 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | — | 1275 |
| LMArena Chinese | — | 1304 |
| LMArena French | — | 1328 |
| LMArena German | — | 1282 |
| LMArena Korean | — | 1206 |
| LMArena Russian | — | 1268 |
| LMArena Spanish | — | 1336 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1299 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1312 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | — | 1311 |
| LMArena Creative Writing | — | 1264 |
| LMArena Multi-Turn | — | 1309 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Olmo 3.1 32b Instruct?
Olmo 3.1 32b Instruct has enough public results to be ranked (#168); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Olmo 3.1 32b Instruct better for coding?
They score almost the same on coding (40.4 vs 39.5); test both on your own repository before choosing.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Olmo 3.1 32b Instruct share?
0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Olmo 3.1 32b Instruct has 16.