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Llama 4 Scout vs DeepSeek R1
A detailed comparison of Llama 4 Scout (Meta) and DeepSeek R1 (DeepSeek) across pricing, performance, and features.
Pricing Comparison
| Metric | Llama 4 Scout | DeepSeek R1 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.18 | $0.55 | +206% |
| Output / 1M tokens | $0.63 | $2.19 | +248% |
| Context window | 10M | 128K | — |
| Max output | 32K | 64K | — |
Benchmark Comparison
| Benchmark | Llama 4 Scout | DeepSeek R1 |
|---|---|---|
| MMLU-Pro | 74.2% | 84% |
| HumanEval | 86% | 92% |
| GPQA | — | 71.5% |
Capabilities
| Capability | Llama 4 Scout | DeepSeek R1 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✗ | ✓ |
| text | ✓ | ✓ |
| vision | ✓ | ✗ |
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
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 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.