Mistral Large 3 vs Qwen3.8-Max

Mistral AI's Mistral Large 3 and Alibaba's Qwen3.8-Max compared on specs, pricing, and capabilities — as configured in AI Crucible ensembles.

Mistral Large 3 input tokens are 4.0x cheaper than Qwen3.8-Max ($0.60 vs $2.40 per 1M tokens).
Mistral Large 3 output tokens are 4.0x cheaper than Qwen3.8-Max ($1.80 vs $7.20 per 1M tokens).
Qwen3.8-Max offers the larger context window: 1M tokens vs 256K tokens for Mistral Large 3.
Qwen3.8-Max is a reasoning model that spends extra tokens thinking before answering; Mistral Large 3 responds directly.

Specification	Mistral Large 3	Qwen3.8-Max
Provider	Mistral AI	Alibaba
API model ID	mistral-large-latest	qwen3.8-max
Description	Mistral AI's flagship model with 41B active parameters, excelling at complex reasoning and multimodal tasks.	Alibaba's flagship Qwen3.8 model with 1M context, native thinking, and vision, at lower cost than Qwen3.7-Max.
Context window	256K tokens	1M tokens
Max output tokens	8,192	131,072
Input cost ($/1M tokens)	$0.60	$2.40
Output cost ($/1M tokens)	$1.80	$7.20
Cache read cost ($/1M tokens)	-	$0.30
Latency	medium	medium
Reasoning model	No	Yes
Vision (image input)	Yes	Yes
Tool use	Yes	Yes