Mistral Medium 3.5 vs Qwen3.7 Max
Pricing & Specs

Mistral vs Qwen (Alibaba), side by side from a live registry. Specs below, then benchmark both on your own task.

$7.5

Mistral Medium 3.5 output / 1M

$3.75

Qwen3.7 Max output / 1M

128K / 1M

context windows

TL;DR: On a typical task (1K input + 500 output tokens), Qwen3.7 Max is about 1.7x cheaper than Mistral Medium 3.5. But per-token price is not cost per result: a cheaper model that needs more tokens, retries, or hand-holding can end up more expensive on your workload. The specs below are facts; which one is better at YOUR task is measurable, not guessable.

API Pricing: Mistral Medium 3.5 vs Qwen3.7 Max

Tokens	Mistral Medium 3.5	Qwen3.7 Max
Input	$1.5 / 1M	$1.25 / 1M
Output	$7.5 / 1M	$3.75 / 1M
Cached input	- / 1M	$0.13 / 1M

What that means in practice (1K input + 500 output tokens)

1x One typical task: $0.0052 on Mistral Medium 3.5 vs $0.0031 on Qwen3.7 Max

1K 1,000 runs: $5.25 vs $3.12

💡 Real cost depends on how verbose each model is on YOUR prompts. Benchmark to measure actual tokens, not estimates.

Specs Compared

Spec	Mistral Medium 3.5	Qwen3.7 Max
Context window	128K tokens	1M tokens
Max output tokens	-	-
Input modalities	text, image	text
Knowledge cutoff	-	-
Latency (measured)	~171ms median response	-
Reasoning model	No	Yes
Tool / function calling	Yes	Yes
JSON mode	Yes	Yes
Prompt caching	No	Yes

When to Choose Which

→ High volume on a budget: start with Qwen3.7 Max; only pay for Mistral Medium 3.5 if the benchmark shows a quality gap that matters.

→ Long documents or big codebases: Qwen3.7 Max has the larger context window (1M vs 128K tokens).

→ Multi-step reasoning tasks: Qwen3.7 Max is a reasoning model; expect better step-by-step work at the cost of more output tokens.

→ Everything else: the honest answer is to benchmark both on your actual task. Quality differences are task-specific and shift with every release.

FAQ

Which is cheaper, Mistral Medium 3.5 or Qwen3.7 Max?

Mistral Medium 3.5 costs $1.5/$7.5 per 1M input/output tokens; Qwen3.7 Max costs $1.25/$3.75. On a typical task (1K input + 500 output tokens), Qwen3.7 Max is about 1.7x cheaper than Mistral Medium 3.5.

Which has the bigger context window, Mistral Medium 3.5 or Qwen3.7 Max?

Mistral Medium 3.5 has a 128K-token context window; Qwen3.7 Max has 1M tokens.

Is Mistral Medium 3.5 better than Qwen3.7 Max?

It depends on the task. Generic leaderboards won't tell you which one wins on YOUR workload. OpenMark lets you benchmark Mistral Medium 3.5 and Qwen3.7 Max head to head on your own task with real API calls, no API keys needed, free tier available.

Mistral Medium 3.5 or Qwen3.7 Max for YOUR Task?

Spec tables can't answer that. Run both head to head on your actual workload:
real API calls, ranked results with accuracy, cost, and latency. Free tier available.

Benchmark Both Free →

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