Model comparison
Llama 4 Scout vs Gemini 2.0 Pro
- Input
- $0.18
- Output
- $0.59
- Context
- 10M
- Released
- 2025-04-05
- Input
- $0.00 (free during experimental preview)
- Output
- $0.00 (free during experimental preview)
- Context
- 2M
- Released
- 2025-02-05
Gemini 2.0 Pro scores higher on 2 of the 3 benchmarks both models report (the other leads on 1); Gemini 2.0 Pro is cheaper on input tokens ($0 vs $0.2 per 1M, ); Llama 4 Scout has the larger context window (10M vs 2M); Llama 4 Scout ships open weights while Gemini 2.0 Pro is API-only.
Specs and pricing side by side
| Spec | Llama 4 Scout | Gemini 2.0 Pro |
|---|---|---|
| Maker | Meta | |
| Released | 2025-04-05 | 2025-02-05 |
| Context window | 10M | 2M |
| Max output | not published | 8,192 tokens |
| Input price | $0.18 | $0.00 (free during experimental preview) |
| Output price | $0.59 | $0.00 (free during experimental preview) |
| Parameters | 109B total · 17B active (16 experts) | Not disclosed |
| License | Llama 4 Community License Agreement | Proprietary |
| Weights | Open weights | API only |
| Modalities | Text, Vision | Text, Visionsame |
| Knowledge cutoff | 2024-08 | August 2024 |
Benchmarks both models report
| Benchmark | Llama 4 Scout | Gemini 2.0 Pro |
|---|---|---|
| MMLU Pro | 74.3% | 79.1% |
| GPQA Diamond | 57.2% | 64.7% |
| MMMU | 73.4% | 72.7% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Llama 4 Scout if…
- You care about MMMU (it scores higher on 1 shared benchmark).
- You need the longer context (10M vs 2M).
- You want to self-host or fine-tune (open weights, Llama 4 Community License Agreement).
- Your use case is: long-document and large-codebase analysis at up to 10M-token context.
Pick Gemini 2.0 Pro if…
- You care about MMLU Pro, GPQA Diamond (it scores higher on 2 shared benchmarks).
- Cost matters: input tokens cost less ($0 vs $0.2 per 1M).
- Your use case is: coding assistance and complex multi-step prompts (its primary positioning).
FAQ
Which is better, Llama 4 Scout or Gemini 2.0 Pro?
Gemini 2.0 Pro scores higher on 2 of the 3 benchmarks both models report (the other leads on 1); Gemini 2.0 Pro is cheaper on input tokens ($0 vs $0.2 per 1M, ); Llama 4 Scout has the larger context window (10M vs 2M); Llama 4 Scout ships open weights while Gemini 2.0 Pro is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Gemini 2.0 Pro?
Llama 4 Scout: $0.18 input, $0.59 output. Gemini 2.0 Pro: $0.00 (free during experimental preview) input, $0.00 (free during experimental preview) output (list API prices as published by each maker).
What are the context windows of Llama 4 Scout and Gemini 2.0 Pro?
Llama 4 Scout offers 10M; Gemini 2.0 Pro offers 2M with up to 8,192 tokens output.
Is Llama 4 Scout newer than Gemini 2.0 Pro?
Llama 4 Scout was released 2025-04-05; Gemini 2.0 Pro was released 2025-02-05.
Go deeper
- Llama 4 Scout: full specs, pricing and benchmarks
- Gemini 2.0 Pro: full specs, pricing and benchmarks
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