comparison
Mistral Medium 3.5 vs Qwen3 Max
Token pricing, context window and real monthly cost, side by side. Qwen3 Max is the cheaper of the two for a typical workload — about 1.9× less.
Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.
By size & context, Qwen3 Max (Flagship) sits above Mistral Medium 3.5 (Mid) yet costs less. On spec it's the straightforward pick; choose Mistral Medium 3.5 only for something it offers that Qwen3 Max doesn't — modality, provider or ecosystem.
| metric | Mistral Medium 3.5 | Qwen3 Max |
|---|---|---|
| Input / 1M | $1.50 | $0.78 |
| Output / 1M | $7.50 | $3.90 |
| Context | 262K | 262K |
| Technical class | Mid | Flagship |
| Cost @ typical workload | $1,200/mo | $624/mo |
| Modality | text + image | Text only |
| Price source | list | routed |
| Provider | Mistral | Qwen |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, Qwen3 Max costs $624/mo against Mistral Medium 3.5's $1,200/mo — roughly 1.9× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. Both share the same context window, so that's not a deciding factor here. Only Mistral Medium 3.5 accepts image input — decisive if your prompts include images. By technical class (size and context, not measured capability), Qwen3 Max is the larger class (Flagship) and the cheaper of the two — on spec, the stronger pick here.
These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.
Frequently asked questions
Is Mistral Medium 3.5 or Qwen3 Max cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Qwen3 Max costs $624/mo versus $1,200/mo for Mistral Medium 3.5 — about 1.9× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.
What's the main difference between Mistral Medium 3.5 and Qwen3 Max?
On price, Mistral Medium 3.5 is $1.50/$7.50 per 1M (in/out) and Qwen3 Max is $0.78/$3.90. By technical class (size & context) it's Mid (Mistral Medium 3.5) versus Flagship (Qwen3 Max). Both carry the same context window. Only Mistral Medium 3.5 accepts image input.
More comparisons
- GPT-5.5 vs Mistral Medium 3.5
- GPT-5.4 vs Mistral Medium 3.5
- GPT-5.4 vs Qwen3 Max
- Mistral Medium 3.5 vs GPT-5.4 mini
- GPT-5.4 mini vs Qwen3 Max
- Qwen3 Max vs GPT-5.4 nano
Related
- Mistral Medium 3.5 and Qwen3 Max — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.