Model comparison
Gemini 2.5 Pro vs Llama 4 Maverick
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 30.9 on the Noometry Index. Llama 4 Maverick costs 11× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 50 shared benchmarks.
Summary
- They share 50 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 10 categories and Llama 4 Maverick in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 31.4.
- The biggest single-benchmark swing is Aider Polyglot: 83.1% for Gemini 2.5 Pro and 15.6% for Llama 4 Maverick.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 128K.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 45.0 | 30.9 |
| Released | 2025-03-25 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 66K | 4K |
| Input $ / M tokens | $1.25 | $0.19 |
| Output $ / M tokens | $10 | $0.65 |
| Results tracked | 78 | 54 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| SWE-bench Verified (bash only) | 53.6% | 21% |
| Aider Polyglot | 83.1% | 15.6% |
| SciCode | 42.8% | 33.1% |
| WeirdML | 54% | 24.5% |
| LMArena Coding | 1452 | 1302 |
| ALE-Bench | 785.52 | 172.97 |
| SWE-bench Verified | 57.6% | — |
| LMArena WebDev | 1227 | — |
| GSO | 3.9% | — |
| BigCodeBench Instruct | — | 49.7% |
| LiveBench Coding | 85.9% | — |
| BigCodeBench Complete | — | 61.4% |
| CadEval | 64% | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Gemini 2.5 Pro leads
Gemini 2.5 Pro: 29.2 (#88), Llama 4 Maverick: 28.2 (#91)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| Berkeley Function Calling Leaderboard | — | 37.3% |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| ARC-AGI-2 | 4.9% | 0% |
| SimpleBench | 62.4% | 27.7% |
| Kagi LLM Benchmark | 70.3% | 55.9% |
| ARC-AGI-1 | 41% | 4.4% |
| CritPt | 2% | 0% |
| EnigmaEval | 5.6% | 0.6% |
| LMArena Hard Prompts | 1455 | 1281 |
| DTBench | 82.4% | 61.9% |
| LMCA | 34.8% | 15.9% |
| Epoch Capabilities Index | 145.32 | 132.2 |
| ForecastBench | 61.3 | 57.5 |
| NYT Connections (extended) | — | 8% |
| Chess Puzzles | 20% | — |
| LiveBench Reasoning | 89.8% | — |
| LiveBench Data Analysis | 79.9% | — |
| LiveBench | 82.3% | — |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 84.7% | 20.6% |
| Omni-MATH | 41.6% | 42.2% |
| LMArena Math | 1450 | 1299 |
| MATH Level 5 | 95.9% | 73% |
| FrontierMath (Feb 2025 set) | 14.1% | 0.7% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| LiveBench Math | 90.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Llama 4 Maverick: 33.4 (#204)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | 85.3% | 67% |
| Humanity's Last Exam | 21.6% | 5.7% |
| MMLU-Pro | 86.3% | 81% |
| Confabulations | 10.6% | 22.6% |
| Vectara Hallucination Rate | 7% | 8.2% |
| GPQA (HELM) | 74.9% | 65% |
| LMArena Expert | 1452 | 1259 |
Multimodal Gemini 2.5 Pro leads
Gemini 2.5 Pro: 45.2 (#18), Llama 4 Maverick: 31.6 (#105)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | 1263 | 1142 |
| GeoBench | 86% | 52% |
| SpatialViz-Bench | 44.7% | 31.8% |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1451 | 1269 |
| LMArena Chinese | 1507 | 1277 |
| LMArena French | 1472 | 1259 |
| LMArena German | 1487 | 1291 |
| LMArena Japanese | 1461 | 1207 |
| LMArena Korean | 1434 | 1203 |
| LMArena Russian | 1461 | 1286 |
| LMArena Spanish | 1473 | 1293 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| IFEval | 84% | 90.8% |
| LMArena Instruction Following | 1437 | 1267 |
| LiveBench Instruction Following | 80.6% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Llama 4 Maverick: 31.4 (#279)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| Fiction.LiveBench | 91.7% | 46.2% |
| LMArena Longer Query | 1449 | 1280 |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Gemini 2.5 Pro | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1458 | 1287 |
| LMArena Creative Writing | 1454 | 1267 |
| Short-Story Creative Writing | 83.8% | 62% |
| EQ-Bench Creative Writing | 1421 | 860 |
| WildBench | 85.7% | 80% |
| LMArena Multi-Turn | 1453 | 1289 |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Llama 4 Maverick?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 30.9 on the Noometry Index. Llama 4 Maverick costs 11× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or Llama 4 Maverick?
Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Llama 4 Maverick better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 26.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Pro and Llama 4 Maverick share?
50 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Llama 4 Maverick has 54.