Mistral Large 4 vs Qwen3.8-Max

Mistral AI's Mistral Large 4 and Alibaba's Qwen3.8-Max compared on specs, pricing, and capabilities — as configured in AI Crucible ensembles.

Mistral Large 4 input tokens are 2.9x cheaper than Qwen3.8-Max ($0.84 vs $2.40 per 1M tokens).
Mistral Large 4 output tokens are 2.9x cheaper than Qwen3.8-Max ($2.52 vs $7.20 per 1M tokens).
Mistral Large 4 offers the larger context window: 1.048576M tokens vs 1M tokens for Qwen3.8-Max.

Specification	Mistral Large 4	Qwen3.8-Max
Provider	Mistral AI	Alibaba
API model ID	mistral-large-4-0	qwen3.8-max
Description	Mistral AI's open-weight multimodal flagship (52B active / 1.05T total parameters) with reasoning and 1M context.	Alibaba's flagship Qwen3.8 model with 1M context, native thinking, and vision, at lower cost than Qwen3.7-Max.
Context window	1.048576M tokens	1M tokens
Max output tokens	32,768	131,072
Input cost ($/1M tokens)	$0.84	$2.40
Output cost ($/1M tokens)	$2.52	$7.20
Cache read cost ($/1M tokens)	$0.08	$0.30
Latency	medium	medium
Reasoning model	Yes	Yes
Vision (image input)	Yes	Yes
Tool use	Yes	Yes