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
Qwen3.5-9B
Larger context
MiniMax M3
Faster
MiniMax M3
Higher quality
MiniMax M3
| Feature | MiniMax M3 | Qwen3.5-9B |
|---|---|---|
| Provider | MiniMax | Qwen |
| Tier | Budget | Mid-tier |
| Input per 1M tokens | $0.3 | $0.1 |
| Output per 1M tokens | $1.2 | $0.15 |
| Cached input per 1M | $0.06 | $0.1 |
| Context window | 1.0M | 262.1K |
| Intelligence index | 45/100 | 22/100 |
| Coding index | 59/100 | 29/100 |
| Agentic index | 36/100 | 7/100 |
| GPQA Diamond | 1 | 1 |
| Tau-bench (airline) | 1 | 1 |
| Speed | Fast | 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.
Qwen3.5-9B saves $3.75/mo vs MiniMax M3
Want us to build it for you?
We integrate MiniMax M3 or Qwen3.5-9B 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.