DeepSeek Coder V2 vs Llama 4 Maverick
Performance benchmarks + pricing comparison — updated April 2026
DeepSeek Coder V2
DeepSeekDeepSeek's coding-specialized model. Open-source and very affordable.
| Input | $0.270/M |
| Output | $1.10/M |
| Context | 128K tokens |
| Best For | Code generation, code review, debugging |
| Benchmark | 58/100 |
Llama 4 Maverick
MetaMeta's Llama 4 flagship model. Strong multimodal and coding with MoE architecture.
| Input | $0.400/M |
| Output | $1.60/M |
| Context | 10M tokens |
| Best For | Complex multimodal tasks, coding, long-context analysis |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | DeepSeek Coder V2 | Llama 4 Maverick | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.04 | $0.06 | DeepSeek Coder V2 saves $0.02 (32%) |
| Medium Feature (10K lines) | $0.31 | $0.46 | DeepSeek Coder V2 saves $0.15 (32%) |
| Large Project (50K lines) | $1.57 | $2.30 | DeepSeek Coder V2 saves $0.73 (32%) |
| Code Review (5K lines) | $0.07 | $0.11 | DeepSeek Coder V2 saves $0.04 (32%) |
Verdict
DeepSeek Coder V2 wins on both price and performance — $0.270/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
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