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Gemini 2.5 Flash vs Llama 4 Maverick
A detailed comparison of Gemini 2.5 Flash (Google) and Llama 4 Maverick (Meta) across pricing, performance, and features.
Pricing Comparison
| Metric | Gemini 2.5 Flash | Llama 4 Maverick | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.15 | $0.31 | +107% |
| Output / 1M tokens | $0.60 | $0.85 | +42% |
| Context window | 1M | 1M | — |
| Max output | 65.536K | 32K | — |
Benchmark Comparison
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick |
|---|---|---|
| MMLU-Pro | 76% | 80.5% |
| HumanEval | 89.5% | 90.2% |
Capabilities
| Capability | Gemini 2.5 Flash | Llama 4 Maverick |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✗ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✓ |
Gemini 2.5 Flash Strengths
- ✓One of the cheapest models available
- ✓1M context at budget pricing
- ✓Free tier available
Gemini 2.5 Flash Weaknesses
- ✗Weaker than Flash 3 on most benchmarks
- ✗Output quality inconsistent on edge cases
Llama 4 Maverick Strengths
- ✓Open-source and self-hostable
- ✓1M context window
- ✓Very competitive via API providers
Llama 4 Maverick Weaknesses
- ✗Requires significant compute to self-host
- ✗Fewer tool-use capabilities than proprietary models
Quick Verdict
Best value: Gemini 2.5 Flash is the more affordable option at $0.15/$0.6 per 1M tokens.
Higher benchmarks: Llama 4 Maverick scores higher on average across available benchmarks (85.3% avg).
Choose Gemini 2.5 Flash if cost matters most. Choose Llama 4 Maverick if you need the best possible quality for complex tasks.