Model comparison
Llama 4 Maverick vs Olmo 3.1 32b Instruct
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 30.9 on the Noometry Index.
Last verified . 16 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. Llama 4 Maverick scores higher in 1 category and Olmo 3.1 32b Instruct in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Olmo 3.1 32b Instruct leads 26.4 to 10.1.
Side by side
| Llama 4 Maverick | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 30.9 | 39.4 |
| Released | 2025-04-05 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.19 | — |
| Output $ / M tokens | $0.65 | — |
| Results tracked | 54 | 16 |
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Category by category
Coding Olmo 3.1 32b Instruct leads
Llama 4 Maverick: 26.6 (#324), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1302 | 1347 |
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| SciCode | 33.1% | — |
| WeirdML | 24.5% | — |
| BigCodeBench Instruct | 49.7% | — |
| BigCodeBench Complete | 61.4% | — |
| ALE-Bench | 172.97 | — |
Agentic & Tool Use Not comparable
Llama 4 Maverick: 28.2 (#91), Olmo 3.1 32b Instruct: —
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
Reasoning Olmo 3.1 32b Instruct leads
Llama 4 Maverick: 10.1 (#342), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1281 | 1322 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| Kagi LLM Benchmark | 55.9% | — |
| NYT Connections (extended) | 8% | — |
| ARC-AGI-1 | 4.4% | — |
| CritPt | 0% | — |
| EnigmaEval | 0.6% | — |
| DTBench | 61.9% | — |
| LMCA | 15.9% | — |
| Epoch Capabilities Index | 132.2 | — |
| ForecastBench | 57.5 | — |
Math Olmo 3.1 32b Instruct leads
Llama 4 Maverick: 26.0 (#262), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1299 | 1305 |
| OTIS Mock AIME 2024-2025 | 20.6% | — |
| Omni-MATH | 42.2% | — |
| MATH Level 5 | 73% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Olmo 3.1 32b Instruct leads
Llama 4 Maverick: 33.4 (#204), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1259 | 1308 |
| GPQA Diamond | 67% | — |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
Multimodal Not comparable
Llama 4 Maverick: 31.6 (#105), Olmo 3.1 32b Instruct: —
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual Too close to call
Llama 4 Maverick: 42.2 (#195), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1269 | 1275 |
| LMArena Chinese | 1277 | 1304 |
| LMArena French | 1259 | 1328 |
| LMArena German | 1291 | 1282 |
| LMArena Korean | 1203 | 1206 |
| LMArena Russian | 1286 | 1268 |
| LMArena Spanish | 1293 | 1336 |
| LMArena Japanese | 1207 | — |
Instruction Following Llama 4 Maverick leads
Llama 4 Maverick: 71.7 (#146), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1267 | 1299 |
| IFEval | 90.8% | — |
Long Context Olmo 3.1 32b Instruct leads
Llama 4 Maverick: 31.4 (#279), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1280 | 1312 |
| Fiction.LiveBench | 46.2% | — |
Writing & Preference Olmo 3.1 32b Instruct leads
Llama 4 Maverick: 38.8 (#252), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | Llama 4 Maverick | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1287 | 1311 |
| LMArena Creative Writing | 1267 | 1264 |
| LMArena Multi-Turn | 1289 | 1309 |
| Short-Story Creative Writing | 62% | — |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
Frequently asked questions
Is Llama 4 Maverick better than Olmo 3.1 32b Instruct?
Olmo 3.1 32b Instruct is the stronger model overall, scoring 39.4 to 30.9 on the Noometry Index.
Is Llama 4 Maverick or Olmo 3.1 32b Instruct better for coding?
Olmo 3.1 32b Instruct scores higher on coding benchmarks: 39.5 versus 26.6 in the Noometry coding category.
How many benchmarks do Llama 4 Maverick and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Olmo 3.1 32b Instruct has 16.