Model comparison
DeepSeek-V3 vs Olmo 3.1 32b Instruct
DeepSeek-V3 and Olmo 3.1 32b Instruct score almost the same on the Noometry Index (39.5 vs 39.4), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. DeepSeek-V3 scores higher in 5 categories and Olmo 3.1 32b Instruct in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3 leads 57.4 to 50.2.
Side by side
| DeepSeek-V3 | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 39.5 | 39.4 |
| Released | 2024-12-26 | — |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 164K | — |
| Input $ / M tokens | $0.24 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 60 | 16 |
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Category by category
Coding DeepSeek-V3 leads
DeepSeek-V3: 42.3 (#106), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1368 | 1347 |
| Aider Polyglot | 55.1% | — |
| SciCode | 35.8% | — |
| WeirdML | 36.1% | — |
| BigCodeBench Instruct | 50% | — |
| LiveBench Coding | 70.9% | — |
| BigCodeBench Complete | 62.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73% | — |
Agentic & Tool Use Not comparable
DeepSeek-V3: —, Olmo 3.1 32b Instruct: —
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| METR Time Horizons | 49.6% | — |
Reasoning Olmo 3.1 32b Instruct leads
DeepSeek-V3: 20.5 (#236), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1365 | 1322 |
| SimpleBench | 27.2% | — |
| Kagi LLM Benchmark | 52.3% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 65.8% | — |
| DTBench | 64.8% | — |
| LiveBench Data Analysis | 60.9% | — |
| LMCA | 15.5% | — |
| BIG-Bench Hard | 87.5% | — |
| Epoch Capabilities Index | 135.94 | — |
| ForecastBench | 59.1 | — |
| HellaSwag | 88.9% | — |
| LiveBench | 66.9% | — |
| PIQA | 84.7% | — |
| WinoGrande | 85.2% | — |
Math Olmo 3.1 32b Instruct leads
DeepSeek-V3: 32.1 (#219), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1373 | 1305 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| Omni-MATH | 40.3% | — |
| LiveBench Math | 73.5% | — |
| MATH Level 5 | 75.5% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge DeepSeek-V3 leads
DeepSeek-V3: 37.5 (#155), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1351 | 1308 |
| GPQA Diamond | 67.6% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 26.1% | — |
| Vectara Hallucination Rate | 6.1% | — |
| GPQA (HELM) | 53.8% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 87.2% | — |
| TriviaQA | 82.9% | — |
Multilingual DeepSeek-V3 leads
DeepSeek-V3: 48.5 (#143), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1358 | 1275 |
| LMArena Chinese | 1391 | 1304 |
| LMArena French | 1385 | 1328 |
| LMArena German | 1374 | 1282 |
| LMArena Korean | 1319 | 1206 |
| LMArena Russian | 1373 | 1268 |
| LMArena Spanish | 1358 | 1336 |
| LMArena Japanese | 1333 | — |
Instruction Following DeepSeek-V3 leads
DeepSeek-V3: 72.8 (#130), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1345 | 1299 |
| LiveBench Instruction Following | 81.5% | — |
| IFEval | 83.2% | — |
Long Context Olmo 3.1 32b Instruct leads
DeepSeek-V3: 34.0 (#253), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1352 | 1312 |
| Fiction.LiveBench | 50% | — |
Writing & Preference DeepSeek-V3 leads
DeepSeek-V3: 57.4 (#130), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | DeepSeek-V3 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1375 | 1311 |
| LMArena Creative Writing | 1364 | 1264 |
| LMArena Multi-Turn | 1389 | 1309 |
| Short-Story Creative Writing | 77% | — |
| EQ-Bench Creative Writing | 1472 | — |
| WildBench | 83% | — |
| LiveBench Language | 49.1% | — |
Frequently asked questions
Is DeepSeek-V3 better than Olmo 3.1 32b Instruct?
DeepSeek-V3 and Olmo 3.1 32b Instruct score almost the same on the Noometry Index (39.5 vs 39.4), so choose on price, context window or the category you care about most.
Is DeepSeek-V3 or Olmo 3.1 32b Instruct better for coding?
DeepSeek-V3 scores higher on coding benchmarks: 42.3 versus 39.5 in the Noometry coding category.
How many benchmarks do DeepSeek-V3 and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Olmo 3.1 32b Instruct has 16.