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Llama 4 Scout vs DeepSeek V3
A detailed comparison of Llama 4 Scout (Meta) and DeepSeek V3 (DeepSeek) across pricing, performance, and features.
Pricing Comparison
| Metric | Llama 4 Scout | DeepSeek V3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.18 | $0.14 | -22% |
| Output / 1M tokens | $0.63 | $0.28 | -56% |
| Context window | 10M | 164K | — |
| Max output | 32K | 16.384K | — |
Benchmark Comparison
| Benchmark | Llama 4 Scout | DeepSeek V3 |
|---|---|---|
| MMLU-Pro | 74.2% | 78% |
| HumanEval | 86% | 89% |
Capabilities
| Capability | Llama 4 Scout | DeepSeek V3 |
|---|---|---|
| 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 V3 Strengths
- ✓Cheapest capable model available
- ✓Strong coding performance
- ✓Open-source
DeepSeek V3 Weaknesses
- ✗No vision support
- ✗Smaller context than competitors
- ✗China-based — availability concerns
Quick Verdict
Best value: DeepSeek V3 is the more affordable option at $0.14/$0.28 per 1M tokens.
Higher benchmarks: DeepSeek V3 scores higher on average across available benchmarks (83.5% avg).
Larger context: Llama 4 Scout supports 10M tokens.
Choose DeepSeek V3 if cost matters most. Choose Llama 4 Scout if you need the best possible quality for complex tasks.