Model comparison
DeepSeek-V2.5 (Sep 2024) vs Olmo 3.1 32b Instruct
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 37.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Olmo 3.1 32b Instruct in 8 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where Olmo 3.1 32b Instruct leads 39.5 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 37.6 | 39.4 |
| Released | 2024-09-06 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 16 |
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Category by category
Coding Olmo 3.1 32b Instruct leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1309 | 1347 |
| 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 Instruct: 26.4 (#132)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1322 |
Math Too close to call
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1288 | 1305 |
Knowledge Olmo 3.1 32b Instruct leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1266 | 1308 |
Multilingual Too close to call
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1273 | 1275 |
| LMArena Chinese | 1318 | 1304 |
| LMArena French | 1289 | 1328 |
| LMArena German | 1258 | 1282 |
| LMArena Korean | 1209 | 1206 |
| LMArena Russian | 1289 | 1268 |
| LMArena Spanish | 1248 | 1336 |
| LMArena Japanese | 1228 | — |
Instruction Following Olmo 3.1 32b Instruct leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1280 | 1299 |
Long Context Too close to call
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1301 | 1312 |
Writing & Preference Too close to call
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1294 | 1311 |
| LMArena Creative Writing | 1285 | 1264 |
| LMArena Multi-Turn | 1297 | 1309 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Olmo 3.1 32b Instruct?
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Olmo 3.1 32b Instruct better for coding?
Olmo 3.1 32b Instruct scores higher on coding benchmarks: 39.5 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Olmo 3.1 32b Instruct has 16.