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Llama 4 Maverick vs DeepSeek R1
A detailed comparison of Llama 4 Maverick (Meta) and DeepSeek R1 (DeepSeek) across pricing, performance, and features.
Pricing Comparison
| Metric | Llama 4 Maverick | DeepSeek R1 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.31 | $0.55 | +77% |
| Output / 1M tokens | $0.85 | $2.19 | +158% |
| Context window | 1M | 128K | — |
| Max output | 32K | 64K | — |
Benchmark Comparison
| Benchmark | Llama 4 Maverick | DeepSeek R1 |
|---|---|---|
| MMLU-Pro | 80.5% | 84% |
| HumanEval | 90.2% | 92% |
| GPQA | — | 71.5% |
Capabilities
| Capability | Llama 4 Maverick | DeepSeek R1 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✗ | ✓ |
| text | ✓ | ✓ |
| vision | ✓ | ✗ |
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
DeepSeek R1 Strengths
- ✓Cheapest reasoning model available
- ✓Strong math and science performance
- ✓Open-source with off-peak discounts
DeepSeek R1 Weaknesses
- ✗Slower than non-reasoning models
- ✗No vision or tool-use
- ✗China-based — availability concerns
Quick Verdict
Best value: Llama 4 Maverick is the more affordable option at $0.31/$0.85 per 1M tokens.
Higher benchmarks: Llama 4 Maverick scores higher on average across available benchmarks (85.3% avg).
Larger context: Llama 4 Maverick supports 1M tokens.
Choose Llama 4 Maverick if cost matters most. Choose DeepSeek R1 if you need the best possible quality for complex tasks.