GPT-5.4 Nano vs Qwen3 Max
List-price comparison · GPT-5.4 Nano details · Qwen3 Max details
For a typical workload (100,000 requests / mo), GPT-5.4 Nano costs 70% less — $74.00/mo vs $249.60/mo.
| GPT-5.4 Nano | Qwen3 Max | |
|---|---|---|
| Input / 1M tokens | $0.200 | $0.780 |
| Output / 1M tokens | $1.25 | $3.90 |
| Typical request (1,200 in + 400 out) | $0.0007 | $0.0025 |
| Context window | 400k tokens | 262,144 tokens |
| Max output | 128k tokens | 32,768 tokens |
| Tier | Flash | Balanced |
| Provider | OpenAI | Qwen |
Projected monthly cost
Rows open both models in the calculator — adjust volume and token counts there.
GPT-5.4 Nano
Cheapest OpenAI option for high-throughput classification, tagging, and routing — ideal as a first-pass filter before a stronger model.
Limited reasoning depth means it should be treated as a triage layer, not a final answer source, for anything business-critical.
Qwen3 Max
Strong multilingual reasoning (especially Chinese/English) and competitive coding benchmarks at open-weight pricing.
Cache-write pricing is unusually high relative to input cost — workloads that rely heavily on prompt caching should benchmark actual savings.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.