Model comparison
DeepSeek-V2.5 (Sep 2024) vs Olmo 3.1 32b Think
DeepSeek-V2.5 (Sep 2024) and Olmo 3.1 32b Think score almost the same on the Noometry Index (37.6 vs 37.9), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 5 categories and Olmo 3.1 32b Think in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Olmo 3.1 32b Think leads 37.7 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 37.6 | 37.9 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 15 |
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Category by category
Coding Olmo 3.1 32b Think leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1309 | 1291 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning Too close to call
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1272 |
Math Too close to call
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1288 | 1305 |
Knowledge Too close to call
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1266 | 1295 |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1273 | 1209 |
| LMArena Chinese | 1318 | 1242 |
| LMArena French | 1289 | 1260 |
| LMArena German | 1258 | 1262 |
| LMArena Russian | 1289 | 1193 |
| LMArena Spanish | 1248 | 1289 |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
Instruction Following DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1280 | 1247 |
Long Context Too close to call
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1301 | 1272 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1294 | 1272 |
| LMArena Creative Writing | 1285 | 1226 |
| LMArena Multi-Turn | 1297 | 1252 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Olmo 3.1 32b Think?
DeepSeek-V2.5 (Sep 2024) and Olmo 3.1 32b Think score almost the same on the Noometry Index (37.6 vs 37.9), so choose on price, context window or the category you care about most.
Is DeepSeek-V2.5 (Sep 2024) or Olmo 3.1 32b Think better for coding?
Olmo 3.1 32b Think scores higher on coding benchmarks: 37.7 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Olmo 3.1 32b Think has 15.