Model comparison
DeepSeek V4 Pro vs Olmo 3.1 32b Instruct
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 39.4 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 V4 Pro scores higher in 8 categories and Olmo 3.1 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 26.4.
Side by side
| DeepSeek V4 Pro | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 54.3 | 39.4 |
| Released | 2026-04-24 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.66 | — |
| Output $ / M tokens | $1.98 | — |
| Results tracked | 48 | 16 |
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Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.4 (#34), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1470 | 1347 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Pro: 32.8 (#58), Olmo 3.1 32b Instruct: —
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |
Reasoning DeepSeek V4 Pro leads
DeepSeek V4 Pro: 56.5 (#24), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1322 |
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.31 | — |
| ForecastBench | 56.1 | — |
Math DeepSeek V4 Pro leads
DeepSeek V4 Pro: 64.8 (#30), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1455 | 1305 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| OTIS Mock AIME 2024-2025 | 98.6% | — |
| ProofBench | 50% | — |
Knowledge DeepSeek V4 Pro leads
DeepSeek V4 Pro: 59.5 (#31), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1464 | 1308 |
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |
Multilingual DeepSeek V4 Pro leads
DeepSeek V4 Pro: 54.4 (#45), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1439 | 1275 |
| LMArena Chinese | 1486 | 1304 |
| LMArena French | 1472 | 1328 |
| LMArena German | 1458 | 1282 |
| LMArena Korean | 1447 | 1206 |
| LMArena Russian | 1453 | 1268 |
| LMArena Spanish | 1458 | 1336 |
| LMArena Japanese | 1445 | — |
Instruction Following DeepSeek V4 Pro leads
DeepSeek V4 Pro: 76.1 (#47), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1448 | 1299 |
Long Context DeepSeek V4 Pro leads
DeepSeek V4 Pro: 45.0 (#51), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1458 | 1312 |
| CL-bench Life | 13.5% | — |
Writing & Preference DeepSeek V4 Pro leads
DeepSeek V4 Pro: 65.5 (#46), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | DeepSeek V4 Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1451 | 1311 |
| LMArena Creative Writing | 1446 | 1264 |
| LMArena Multi-Turn | 1467 | 1309 |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than Olmo 3.1 32b Instruct?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 39.4 on the Noometry Index.
Is DeepSeek V4 Pro or Olmo 3.1 32b Instruct better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 39.5 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Pro and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Olmo 3.1 32b Instruct has 16.