Model comparison
Gemini 2.0 Flash (Feb 2025) vs Llama 4 Maverick
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 30.6 on the Noometry Index.
Last verified . 44 shared benchmarks.
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MetaSummary
- They share 44 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 9 categories and Llama 4 Maverick in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash (Feb 2025) leads 36.1 to 24.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Gemini 2.0 Flash (Feb 2025) and 20.6% for Llama 4 Maverick.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 34.8 | 30.6 |
| Released | 2024-12-06 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $0.65 |
| Results tracked | 54 | 54 |
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Category by category
Coding Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), Llama 4 Maverick: 26.3 (#318)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| SWE-bench Verified (bash only) | 13.5% | 21% |
| Aider Polyglot | 38.2% | 15.6% |
| WeirdML | 25.8% | 24.5% |
| BigCodeBench Instruct | 45.9% | 49.7% |
| LMArena Coding | 1351 | 1302 |
| BigCodeBench Complete | 59.9% | 61.4% |
| SciCode | — | 33.1% |
| LiveBench Coding | 63.4% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 172.97 |
Agentic & Tool Use Too close to call
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), Llama 4 Maverick: 27.9 (#86)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
| TheAgentCompany | 11.4% | — |
Reasoning Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), Llama 4 Maverick: 10.1 (#337)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| ARC-AGI-2 | 1.3% | 0% |
| SimpleBench | 31.1% | 27.7% |
| Kagi LLM Benchmark | 37.8% | 55.9% |
| EnigmaEval | 1.1% | 0.6% |
| LMArena Hard Prompts | 1346 | 1281 |
| DTBench | 63.2% | 61.9% |
| Epoch Capabilities Index | 135.36 | 132.2 |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| LiveBench Reasoning | 78.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 15.9% |
| ForecastBench | — | 57.5 |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), Llama 4 Maverick: 24.6 (#256)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 20.6% |
| Omni-MATH | 45.9% | 42.2% |
| LMArena Math | 1351 | 1299 |
| MATH Level 5 | 82.2% | 73% |
| FrontierMath (Feb 2025 set) | 1.7% | 0.7% |
| LiveBench Math | 75.8% | — |
Knowledge Llama 4 Maverick leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), Llama 4 Maverick: 33.3 (#196)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 64.1% | 67% |
| Humanity's Last Exam | 6.6% | 5.7% |
| MMLU-Pro | 73.7% | 81% |
| Confabulations | 12.4% | 22.6% |
| GPQA (HELM) | 55.6% | 65% |
| LMArena Expert | 1340 | 1259 |
| Vectara Hallucination Rate | — | 8.2% |
| MMLU | 79.7% | — |
Multimodal Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), Llama 4 Maverick: 30.9 (#100)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | 1158 | 1141 |
| GeoBench | 77% | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), Llama 4 Maverick: 42.4 (#190)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1342 | 1269 |
| LMArena Chinese | 1373 | 1277 |
| LMArena French | 1390 | 1258 |
| LMArena German | 1354 | 1291 |
| LMArena Japanese | 1293 | 1207 |
| LMArena Korean | 1314 | 1203 |
| LMArena Russian | 1351 | 1286 |
| LMArena Spanish | 1363 | 1293 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), Llama 4 Maverick: 71.9 (#140)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| IFEval | 84.1% | 90.8% |
| LMArena Instruction Following | 1336 | 1267 |
| LiveBench Instruction Following | 85.8% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), Llama 4 Maverick: 31.4 (#274)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| Fiction.LiveBench | 61.1% | 46.2% |
| LMArena Longer Query | 1345 | 1280 |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), Llama 4 Maverick: 39.0 (#247)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1354 | 1287 |
| LMArena Creative Writing | 1340 | 1266 |
| Short-Story Creative Writing | 73.8% | 62% |
| EQ-Bench Creative Writing | 1128 | 860 |
| WildBench | 80% | 80% |
| LMArena Multi-Turn | 1350 | 1289 |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Llama 4 Maverick?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 30.6 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Llama 4 Maverick better for coding?
Gemini 2.0 Flash (Feb 2025) scores higher on coding benchmarks: 28.2 versus 26.3 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Llama 4 Maverick share?
44 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Llama 4 Maverick has 54.