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DeepSeek R1 vs Llama 4 Scout
A detailed comparison of DeepSeek R1 (DeepSeek) and Llama 4 Scout (Meta) across pricing, performance, and features.
Pricing Comparison
| Metric | DeepSeek R1 | Llama 4 Scout | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.55 | $0.18 | -67% |
| Output / 1M tokens | $2.19 | $0.63 | -71% |
| Context window | 128K | 10M | — |
| Max output | 64K | 32K | — |
Benchmark Comparison
| Benchmark | DeepSeek R1 | Llama 4 Scout |
|---|---|---|
| MMLU-Pro | 84% | 74.2% |
| HumanEval | 92% | 86% |
| GPQA | 71.5% | — |
Capabilities
| Capability | DeepSeek R1 | Llama 4 Scout |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✗ |
| text | ✓ | ✓ |
| vision | ✗ | ✓ |
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
Llama 4 Scout Strengths
- ✓10M token context — largest available
- ✓Open-source
- ✓Ultra cheap via API providers
Llama 4 Scout Weaknesses
- ✗Lower benchmarks than Maverick
- ✗Limited tool-use support
Quick Verdict
Best value: Llama 4 Scout is the more affordable option at $0.18/$0.63 per 1M tokens.
Higher benchmarks: DeepSeek R1 scores higher on average across available benchmarks (82.5% avg).
Larger context: Llama 4 Scout supports 10M tokens.
Choose Llama 4 Scout if cost matters most. Choose DeepSeek R1 if you need the best possible quality for complex tasks.