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Data verified: Sep 12, 2026, 12:29 AM · Prices sourced from official provider pages. Verify current rates before production use.
Data verified: Sep 12, 2026, 12:29 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
Qwen3.5-35B-A3B
Larger context
Qwen3.8 Max (0902)
Faster
Qwen3.5-35B-A3B
Higher quality
Qwen3.8 Max (0902)
| Feature | Qwen3.5-35B-A3B | Qwen3.8 Max (0902) |
|---|---|---|
| Provider | Qwen | Qwen |
| Tier | Mid-tier | Mid-tier |
| Input per 1M tokens | $0.3125 | $2 |
| Output per 1M tokens | $1.25 | $6 |
| Cached input per 1M | $0.1563 | $0.25 |
| Context window | 262.1K | 1M |
| Intelligence index | — | 40/100 |
| Coding index | 37/100 | 72/100 |
| Agentic index | — | 50/100 |
| GPQA Diamond | 0.82 | — |
| Tau-bench (airline) | 0.73 | — |
| Speed | Standard | Slow |
| 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.
Qwen3.5-35B-A3B saves $19.3/mo vs Qwen3.8 Max (0902)
Want us to build it for you?
We integrate Qwen3.5-35B-A3B or Qwen3.8 Max (0902) 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.