Mistral Large 3 vs Qwen3.7-Max

Mistral AI's Mistral Large 3 and Alibaba's Qwen3.7-Max compared on specs, pricing, and capabilities — as configured in AI Crucible ensembles.

Mistral Large 3 input tokens are 5.0x cheaper than Qwen3.7-Max ($0.60 vs $3.00 per 1M tokens).
Mistral Large 3 output tokens are 5.0x cheaper than Qwen3.7-Max ($1.80 vs $9.00 per 1M tokens).
Qwen3.7-Max offers the larger context window: 1M tokens vs 256K tokens for Mistral Large 3.
Qwen3.7-Max is a reasoning model that spends extra tokens thinking before answering; Mistral Large 3 responds directly.

Specification	Mistral Large 3	Qwen3.7-Max
Provider	Mistral AI	Alibaba
API model ID	mistral-large-latest	qwen3.7-max
Description	Mistral AI's flagship model with 41B active parameters, excelling at complex reasoning and multimodal tasks.	Alibaba's flagship Qwen3.7 model with 1M context and native extended-thinking, leading on SWE-Pro and Terminal-Bench agentic benchmarks.
Context window	256K tokens	1M tokens
Max output tokens	8,192	65,536
Input cost ($/1M tokens)	$0.60	$3.00
Output cost ($/1M tokens)	$1.80	$9.00
Cache read cost ($/1M tokens)	-	$0.30
Latency	medium	medium
Reasoning model	No	Yes
Vision (image input)	Yes	Yes
Tool use	Yes	Yes