Model comparison
Gemma 4 31B IT vs Olmo 3.1 32b Think
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 37.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
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Allen Institute for AI (Ai2)Summary
- They share 14 benchmarks with published results for both. Gemma 4 31B IT scores higher in 8 categories and Olmo 3.1 32b Think in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 4 31B IT leads 53.8 to 38.1.
Side by side
| Gemma 4 31B IT | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | |
| Noometry Index | 43.5 | 37.9 |
| Released | 2026-04-02 | — |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.09 | — |
| Output $ / M tokens | $0.34 | — |
| Results tracked | 35 | 15 |
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Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 42.3 (#108), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1459 | 1291 |
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| ALE-Bench | 925.5 | — |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 27.2 (#122), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1448 | 1272 |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| Thematic Generalization | 53% | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 43.2 (#81), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1465 | 1305 |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
Knowledge Gemma 4 31B IT leads
Gemma 4 31B IT: 37.9 (#151), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1465 | 1295 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), Olmo 3.1 32b Think: —
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1431 | 1209 |
| LMArena Chinese | 1476 | 1242 |
| LMArena French | 1435 | 1260 |
| LMArena Russian | 1460 | 1193 |
| LMArena Spanish | 1444 | 1289 |
| LMArena German | — | 1262 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1433 | 1247 |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#71), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1446 | 1272 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.5 (#96), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | Gemma 4 31B IT | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1443 | 1272 |
| LMArena Creative Writing | 1415 | 1226 |
| LMArena Multi-Turn | 1452 | 1252 |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
Frequently asked questions
Is Gemma 4 31B IT better than Olmo 3.1 32b Think?
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 37.9 on the Noometry Index.
Is Gemma 4 31B IT or Olmo 3.1 32b Think better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 42.3 versus 37.7 in the Noometry coding category.
How many benchmarks do Gemma 4 31B IT and Olmo 3.1 32b Think share?
14 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Olmo 3.1 32b Think has 15.