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DeepSeek V3 vs Llama 4 Maverick
A detailed comparison of DeepSeek V3 (DeepSeek) and Llama 4 Maverick (Meta) across pricing, performance, and features.
Pricing Comparison
| Metric | DeepSeek V3 | Llama 4 Maverick | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.14 | $0.31 | +121% |
| Output / 1M tokens | $0.28 | $0.85 | +204% |
| Context window | 164K | 1M | — |
| Max output | 16.384K | 32K | — |
Benchmark Comparison
| Benchmark | DeepSeek V3 | Llama 4 Maverick |
|---|---|---|
| MMLU-Pro | 78% | 80.5% |
| HumanEval | 89% | 90.2% |
Capabilities
| Capability | DeepSeek V3 | Llama 4 Maverick |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✗ |
| text | ✓ | ✓ |
| vision | ✗ | ✓ |
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
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: DeepSeek V3 is the more affordable option at $0.14/$0.28 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 DeepSeek V3 if cost matters most. Choose Llama 4 Maverick if you need the best possible quality for complex tasks.