Qwen Max vs GPT-4.1 Nano
Performance benchmarks + pricing comparison — updated April 2026
Qwen Max
QwenQwen's most powerful model. Strong reasoning and coding capabilities.
| Input | $1.60/M |
| Output | $6.40/M |
| Context | 32K tokens |
| Best For | Complex reasoning, advanced coding |
| Benchmark | 68/100 |
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 | Qwen Max | GPT-4.1 Nano | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.25 | $0.02 | GPT-4.1 Nano saves $0.23 (94%) |
| Medium Feature (10K lines) | $1.84 | $0.12 | GPT-4.1 Nano saves $1.73 (94%) |
| Large Project (50K lines) | $9.20 | $0.58 | GPT-4.1 Nano saves $8.63 (94%) |
| Code Review (5K lines) | $0.44 | $0.03 | GPT-4.1 Nano saves $0.41 (94%) |
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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