Mistral Small vs Qwen3.8 Flash
Comparing Mistral Small and Qwen3.8 Flash across benchmarks, pricing, and capabilities.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Mistral Small and Qwen3.8 Flash trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Qwen3.8 Flash is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.8 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Small
- you need open weights you can self-host or fine-tune
Choose Qwen3.8 Flash
- cost matters — it's about 1.3x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
0 reported for Mistral Small · 22 for Qwen3.8 Flash
Mistral Small and Qwen3.8 Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Small ($0.20/1M tokens) is 1.3x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, Mistral Small ($0.60/1M tokens) is 1.3x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, Mistral Small is more expensive than Qwen3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3.8 Flash has 103.0B more parameters than Mistral Small, making it 468.2% larger.
Context Window
Maximum input and output token capacity
Qwen3.8 Flash accepts 1,000,000 input tokens compared to Mistral Small's 32,768 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while Mistral Small is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Flash supports multimodal inputs, whereas Mistral Small does not.
Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Small
Qwen3.8 Flash
License
Usage and distribution terms
Mistral Small is licensed under Mistral Research License, while Qwen3.8 Flash uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Mistral Research License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Small was released on 2024-09-17, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 24 months newer than Mistral Small.
Sep 17, 2024
2.0 years ago
Aug 26, 2026
5 days ago
1.9yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Small is available from Mistral AI. Qwen3.8 Flash is available from Novita.
Mistral Small
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Small and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small vs Qwen3.8 Flash.