Data verified: Aug 15, 2026, 11:13 AM · Prices sourced from official provider pages. Verify current rates before production use.
Data verified: Aug 15, 2026, 11:13 AM · Prices sourced from official provider pages. Verify current rates before production use.
Price, context and performance head to head. Data synced from the provider catalog.
Cheaper
Qwen3.6 35B A3B
Larger context
GPT-5.4 Pro
Faster
Qwen3.6 35B A3B
Higher quality
GPT-5.4 Pro
| Feature | GPT-5.4 Pro | Qwen3.6 35B A3B |
|---|---|---|
| Provider | OpenAI | Qwen |
| Tier | Flagship | Mid-tier |
| Input per 1M tokens | $30 | $0.15 |
| Output per 1M tokens | $180 | $1 |
| Cached input per 1M | $30 | $0.05 |
| Context window | 1.1M | 262.1K |
| Intelligence index | — | 32/100 |
| Coding index | — | 42/100 |
| Agentic index | — | 22/100 |
| GPQA Diamond | — | 1 |
| Tau-bench (airline) | — | 1 |
| Speed | Slow | Standard |
| Vision (image input) | Yes | Yes |
| Function calling | Yes | Yes |
| Batch API | No | No |
Enter how many requests per day you send with an average prompt (1K input + 1K output) and compare the monthly cost of both models.
Qwen3.6 35B A3B saves $627/mo vs GPT-5.4 Pro
Want us to build it for you?
We integrate GPT-5.4 Pro or Qwen3.6 35B A3B into your product with caching, observability and continuous evaluation — typically 40-80% cheaper than the obvious first pick.
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A token is the unit an AI model processes: usually between half a word and a full word. Rule of thumb: 1,000 tokens ≈ 750 English words. A 20-word sentence is about 26 tokens; a 300-word email is around 400. Models charge for input tokens (your prompt) and output tokens (their answer) separately.