Model comparison
Llama 4 Maverick vs o3-mini
o3-mini is the stronger model overall, scoring 36.7 to 30.9 on the Noometry Index. Llama 4 Maverick costs 6.3× less per token, which makes it the better buy when o3-mini's lead doesn't matter for your workload.
Last verified . 35 shared benchmarks.
MetaSummary
- They share 35 benchmarks with published results for both. Llama 4 Maverick scores higher in 0 categories and o3-mini in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where o3-mini leads 40.8 to 26.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 20.6% for Llama 4 Maverick and 76.9% for o3-mini.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- o3-mini accepts more context: 200K tokens versus 128K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Llama 4 Maverick | o3-mini | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.9 | 36.7 |
| Released | 2025-04-05 | 2024-12-20 |
| Weights | Open | Proprietary |
| Context window | 128K | 200K |
| Max output | 4K | 100K |
| Input $ / M tokens | $0.19 | $1.10 |
| Output $ / M tokens | $0.65 | $4.40 |
| Results tracked | 54 | 51 |
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Category by category
Coding o3-mini leads
Llama 4 Maverick: 26.6 (#324), o3-mini: 40.8 (#132)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| Aider Polyglot | 15.6% | 60.4% |
| SciCode | 33.1% | 39.8% |
| WeirdML | 24.5% | 43.7% |
| LMArena Coding | 1302 | 1378 |
| SWE-bench Verified (bash only) | 21% | — |
| GSO | — | 1.3% |
| BigCodeBench Instruct | 49.7% | — |
| LiveBench Coding | — | 82.7% |
| BigCodeBench Complete | 61.4% | — |
| CadEval | — | 54% |
| ALE-Bench | 172.97 | — |
Agentic & Tool Use o3-mini leads
Llama 4 Maverick: 28.2 (#91), o3-mini: 29.6 (#84)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
| Cybench | — | 22.5% |
Reasoning o3-mini leads
Llama 4 Maverick: 10.1 (#342), o3-mini: 16.3 (#305)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| ARC-AGI-2 | 0% | 3% |
| SimpleBench | 27.7% | 22.8% |
| ARC-AGI-1 | 4.4% | 34.5% |
| CritPt | 0% | 0.3% |
| LMArena Hard Prompts | 1281 | 1366 |
| DTBench | 61.9% | 68.8% |
| LMCA | 15.9% | 19% |
| Epoch Capabilities Index | 132.2 | 140.34 |
| ForecastBench | 57.5 | 59.6 |
| Kagi LLM Benchmark | 55.9% | — |
| NYT Connections (extended) | 8% | — |
| Chess Puzzles | — | 17% |
| EnigmaEval | 0.6% | — |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | — | 70.6% |
| LiveBench | — | 75.9% |
Math o3-mini leads
Llama 4 Maverick: 26.0 (#262), o3-mini: 28.1 (#244)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 20.6% | 76.9% |
| LMArena Math | 1299 | 1396 |
| MATH Level 5 | 73% | 96.5% |
| FrontierMath (Feb 2025 set) | 0.7% | 12.4% |
| FrontierMath (Tiers 1-3) | — | 18.6% |
| FrontierMath Tier 4 | — | 0% |
| Omni-MATH | 42.2% | — |
| LiveBench Math | — | 77.3% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge o3-mini leads
Llama 4 Maverick: 33.4 (#204), o3-mini: 38.3 (#146)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| GPQA Diamond | 67% | 77% |
| Confabulations | 22.6% | 17.9% |
| LMArena Expert | 1259 | 1364 |
| Humanity's Last Exam | 5.7% | — |
| SimpleQA Verified | — | 15.3% |
| MMLU-Pro | 81% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
Multimodal Not comparable
Llama 4 Maverick: 31.6 (#105), o3-mini: —
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual o3-mini leads
Llama 4 Maverick: 42.2 (#195), o3-mini: 45.7 (#164)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| LMArena Non-English | 1269 | 1319 |
| LMArena Chinese | 1277 | 1379 |
| LMArena French | 1259 | 1334 |
| LMArena German | 1291 | 1303 |
| LMArena Japanese | 1207 | 1286 |
| LMArena Korean | 1203 | 1314 |
| LMArena Russian | 1286 | 1304 |
| LMArena Spanish | 1293 | 1321 |
Instruction Following o3-mini leads
Llama 4 Maverick: 71.7 (#146), o3-mini: 75.1 (#72)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1267 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
| IFEval | 90.8% | — |
Long Context o3-mini leads
Llama 4 Maverick: 31.4 (#279), o3-mini: 33.8 (#256)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| Fiction.LiveBench | 46.2% | 50% |
| LMArena Longer Query | 1280 | 1343 |
Writing & Preference o3-mini leads
Llama 4 Maverick: 38.8 (#252), o3-mini: 50.3 (#182)
| Benchmark | Llama 4 Maverick | o3-mini |
|---|---|---|
| LMArena Text | 1287 | 1337 |
| LMArena Creative Writing | 1267 | 1286 |
| Short-Story Creative Writing | 62% | 61.7% |
| LMArena Multi-Turn | 1289 | 1320 |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Llama 4 Maverick better than o3-mini?
o3-mini is the stronger model overall, scoring 36.7 to 30.9 on the Noometry Index. Llama 4 Maverick costs 6.3× less per token, which makes it the better buy when o3-mini's lead doesn't matter for your workload.
Which is cheaper, Llama 4 Maverick or o3-mini?
Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; o3-mini lists at $1.10 and $4.40.
Is Llama 4 Maverick or o3-mini better for coding?
o3-mini scores higher on coding benchmarks: 40.8 versus 26.6 in the Noometry coding category.
Which has the bigger context window?
o3-mini does, with 200K tokens against 128K.
How many benchmarks do Llama 4 Maverick and o3-mini share?
35 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and o3-mini has 51.