DeepSeek Coder V2 vs Together Llama 3.3 70B
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 |
Together Llama 3.3 70B
Together AILlama 3.3 70B via Together AI. Cost-effective inference for open models.
| Input | $0.880/M |
| Output | $0.880/M |
| Context | 128K tokens |
| Best For | Cost-effective general AI, open-source preference |
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 | Together Llama 3.3 70B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.04 | $0.06 | DeepSeek Coder V2 saves $0.01 (26%) |
| Medium Feature (10K lines) | $0.31 | $0.48 | DeepSeek Coder V2 saves $0.17 (35%) |
| Large Project (50K lines) | $1.57 | $2.42 | DeepSeek Coder V2 saves $0.85 (35%) |
| Code Review (5K lines) | $0.07 | $0.18 | DeepSeek Coder V2 saves $0.10 (58%) |
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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