Gemini 2.5 Pro Vision vs Llama 4 Maverick: which model should you choose?
We compared Gemini 2.5 Pro Vision and Llama 4 Maverick on price, context window and 12 benchmarks. Gemini 2.5 Pro Vision has the stronger average benchmark score; Llama 4 Maverick is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro Vision
Gemini 2.5 Pro Vision is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $14.91 per million input tokens and $71.00 per million output tokens, and averages 82.0 across the index's benchmark suite.
- Input
- $14.91 / 1M
- Output
- $71.00 / 1M
- Context
- 200,000
- Avg score
- 82.0
- Open weights
- No
Llama 4 Maverick
Llama 4 Maverick is a multimodal model from Meta AI. It offers a 200,000-token context window, costs $5.36 per million input tokens and $25.19 per million output tokens, and averages 81.6 across the index's benchmark suite.
- Input
- $5.36 / 1M
- Output
- $25.19 / 1M
- Context
- 200,000
- Avg score
- 81.6
- Open weights
- Yes
Specification comparison
| Spec | Gemini 2.5 Pro Vision | Llama 4 Maverick | Edge |
|---|---|---|---|
| Input price / 1M | $14.91 | $5.36 | B |
| Output price / 1M | $71.00 | $25.19 | B |
| Context window | 200,000 | 200,000 | Tie |
| Max output | 4,096 | 8,192 | B |
| Average score | 82.0 | 81.6 | A |
| Arena Elo | 1451.3 | 1447.0 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Gemini 2.5 Pro Vision wins 9, Llama 4 Maverick wins 3, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 2.5 Pro Vision | Llama 4 Maverick | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 83.9 | 84.7 | 0.8 | Llama 4 Maverick |
| GPQA Diamond | 78.0 | 76.8 | 1.2 | Gemini 2.5 Pro Vision |
| SWE-bench Verified | 72.4 | 71.8 | 0.6 | Gemini 2.5 Pro Vision |
| HumanEval | 85.8 | 87.3 | 1.5 | Llama 4 Maverick |
| MATH-500 | 82.9 | 82.7 | 0.2 | Gemini 2.5 Pro Vision |
| AIME 2025 | 80.0 | 79.6 | 0.4 | Gemini 2.5 Pro Vision |
| LiveCodeBench | 76.0 | 75.7 | 0.3 | Gemini 2.5 Pro Vision |
| IFEval | 90.2 | 87.5 | 2.7 | Gemini 2.5 Pro Vision |
| TruthfulQA | 84.1 | 82.6 | 1.5 | Gemini 2.5 Pro Vision |
| HellaSwag | 90.8 | 88.2 | 2.6 | Gemini 2.5 Pro Vision |
| MMMU | 78.2 | 80.4 | 2.2 | Llama 4 Maverick |
| Arena Elo | 1451.3 | 1447.0 | 4.3 | Gemini 2.5 Pro Vision |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Vision costs about $28.93 per million tokens and Llama 4 Maverick costs about $10.32. Llama 4 Maverick is roughly 64% cheaper than Gemini 2.5 Pro Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 200,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 2.5 Pro Vision wins 9, Llama 4 Maverick wins 3, and 0 are tied. On the index average, Gemini 2.5 Pro Vision leads Llama 4 Maverick by 0.4 points (82.0 versus 81.6).
The price picture favours Llama 4 Maverick. The context picture is effectively a tie. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Gemini 2.5 Pro Vision for quality-sensitive work and Llama 4 Maverick for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Gemini 2.5 Pro Vision if
- You want the higher average benchmark score in this index.
Choose Llama 4 Maverick if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 8,192-token output limit.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Gemini 2.5 Pro Vision better than Llama 4 Maverick?
On the index average, Gemini 2.5 Pro Vision leads Llama 4 Maverick by 0.4 points (82.0 versus 81.6). The better choice depends on price, context and your task. Gemini 2.5 Pro Vision wins 9 benchmarks, Llama 4 Maverick wins 3.
Which is cheaper, Gemini 2.5 Pro Vision or Llama 4 Maverick?
Llama 4 Maverick is cheaper on a blended 3:1 basis at about $10.32 per million tokens, versus $28.93 for Gemini 2.5 Pro Vision.
Which has the larger context window?
Both models list a 200,000-token context window.
Are these models open weights?
Gemini 2.5 Pro Vision is proprietary; Llama 4 Maverick is open weights.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro Vision for quality-sensitive work and Llama 4 Maverick for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.