Model comparison
Gemini 1.5 Pro (May 2024) vs Llama 4 Maverick
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 30.9 on the Noometry Index.
Last verified . 36 shared benchmarks.
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MetaSummary
- They share 36 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 6 categories and Llama 4 Maverick in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Pro (May 2024) leads 52.4 to 38.8.
- The biggest single-benchmark swing is GPQA (HELM): 53.4% for Gemini 1.5 Pro (May 2024) and 65% for Llama 4 Maverick.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 32.1 | 30.9 |
| Released | 2024-02-15 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $0.65 |
| Results tracked | 45 | 54 |
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Category by category
Coding Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| WeirdML | 22.2% | 24.5% |
| BigCodeBench Instruct | 43.8% | 49.7% |
| LMArena Coding | 1294 | 1302 |
| BigCodeBench Complete | 57.5% | 61.4% |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| CadEval | 34% | — |
| ALE-Bench | — | 172.97 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Llama 4 Maverick leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), Llama 4 Maverick: 28.2 (#91)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| ARC-AGI-2 | 0.8% | 0% |
| SimpleBench | 27.1% | 27.7% |
| LMArena Hard Prompts | 1296 | 1281 |
| DTBench | 59% | 61.9% |
| Epoch Capabilities Index | 131.73 | 132.2 |
| ForecastBench | 58.4 | 57.5 |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| LMCA | — | 15.9% |
| BIG-Bench Hard | 89.2% | — |
Math Too close to call
Gemini 1.5 Pro (May 2024): 25.8 (#266), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 20.6% |
| Omni-MATH | 36.4% | 42.2% |
| LMArena Math | 1315 | 1299 |
| MATH Level 5 | 70.4% | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Llama 4 Maverick leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Llama 4 Maverick: 33.4 (#204)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 57.2% | 67% |
| Humanity's Last Exam | 4.6% | 5.7% |
| MMLU-Pro | 73.7% | 81% |
| Confabulations | 13.5% | 22.6% |
| GPQA (HELM) | 53.4% | 65% |
| LMArena Expert | 1279 | 1259 |
| Vectara Hallucination Rate | — | 8.2% |
| MMLU | 86.9% | — |
Multimodal Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 36.8 (#77), Llama 4 Maverick: 31.6 (#105)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | 1161 | 1142 |
| Video-MME | 75% | — |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1312 | 1269 |
| LMArena Chinese | 1331 | 1277 |
| LMArena French | 1302 | 1259 |
| LMArena German | 1286 | 1291 |
| LMArena Japanese | 1292 | 1207 |
| LMArena Korean | 1298 | 1203 |
| LMArena Russian | 1320 | 1286 |
| LMArena Spanish | 1311 | 1293 |
Instruction Following Llama 4 Maverick leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| IFEval | 83.7% | 90.8% |
| LMArena Instruction Following | 1297 | 1267 |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), Llama 4 Maverick: 31.4 (#279)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1308 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Gemini 1.5 Pro (May 2024) | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1319 | 1287 |
| LMArena Creative Writing | 1333 | 1267 |
| WildBench | 81.3% | 80% |
| LMArena Multi-Turn | 1296 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Llama 4 Maverick?
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 30.9 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Llama 4 Maverick better for coding?
Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 34.2 versus 26.6 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Llama 4 Maverick share?
36 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Llama 4 Maverick has 54.