Mistral Medium 3.5 vs Qwen3-Max

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

Mistral Medium 3.5

Mistral AI · Mar 2026

Europe's strongest model line: frontier-adjacent quality at $0.40/$2 with EU data residency and on-prem options.

Qwen3-Max

Alibaba (Qwen) · Sep 2025

80.5

Alibaba's trillion-parameter API flagship — frontier-adjacent quality with strong agentic tool use at mid-tier prices.

The verdict

These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. Mistral Medium 3.5 is about 3.0x cheaper per blended million tokens (3:1 input:output mix). Qwen3-Max also takes 262K of context versus 131K for Mistral Medium 3.5.

Specs & pricing

Mistral Medium 3.5Qwen3-Max
modhub Index80.5
Input price / 1M$0.4$1.2
Output price / 1M$2$6
Context window131K262K
Max output66K
Open weightsnono
Reasoning modelnoyes
Multimodal inputtext, imagetext
Knowledge cutoffDec 2025Jun 2025
ReleasedMar 2026Sep 2025
Example monthly cost*$7.00$21.00

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, Mistral Medium 3.5 or Qwen3-Max?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. Mistral Medium 3.5 is about 3.0x cheaper per blended million tokens (3:1 input:output mix). Qwen3-Max also takes 262K of context versus 131K for Mistral Medium 3.5.
Which is cheaper, Mistral Medium 3.5 or Qwen3-Max?
Mistral Medium 3.5 costs $0.4/$2 per million input/output tokens, while Qwen3-Max costs $1.2/$6. For a typical workload of 10M input and 1.5M output tokens per month, that's $7.00 versus $21.00.
Which model is better for coding, Mistral Medium 3.5 or Qwen3-Max?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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