DeepSeek Coder V2 vs GPT-4.1 Nano
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 |
GPT-4.1 Nano
OpenAIOpenAI's smallest and cheapest GPT-4.1 model. Fast responses for simple tasks.
| Input | $0.100/M |
| Output | $0.400/M |
| Context | 1M tokens |
| Best For | Simple queries, classification, fast responses |
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 | GPT-4.1 Nano | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.04 | $0.02 | GPT-4.1 Nano saves $0.03 (63%) |
| Medium Feature (10K lines) | $0.31 | $0.12 | GPT-4.1 Nano saves $0.20 (63%) |
| Large Project (50K lines) | $1.57 | $0.58 | GPT-4.1 Nano saves $1.00 (63%) |
| Code Review (5K lines) | $0.07 | $0.03 | GPT-4.1 Nano saves $0.05 (63%) |
Verdict
GPT-4.1 Nano wins on both price and performance — $0.100/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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