Mistral Large 4 vs Qwen3.8 Flash
Mistral Large 4 and Qwen3.8 Flash are closely matched at 46.2 and 48.3 on the LLM Stats Score. Qwen3.8 Flash is 4.5x cheaper per token.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Mistral Large 4 and Qwen3.8 Flash are closely matched on the overall LLM Stats Score at 46.2 and 48.3.
In the 1 individual benchmarks reported for both models, Mistral Large 4 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash is roughly 4.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Large 4
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3.8 Flash
- cost matters — it's about 4.5x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Mistral Large 4 · 22 for Qwen3.8 Flash
Mistral Large 4 outperforms in 1 benchmarks (DeepSWE 1.1), while Qwen3.8 Flash is better at 0 benchmarks.
Mistral Large 4 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Large 4 ($0.68/1M tokens) is 4.5x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, Mistral Large 4 ($2.09/1M tokens) is 4.4x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, Mistral Large 4 is more expensive than Qwen3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 925.0B more parameters than Qwen3.8 Flash, making it 740.0% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Only Qwen3.8 Flash specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Large 4 and Qwen3.8 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 4
Qwen3.8 Flash
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Large 4 was released on 2026-10-06, while Qwen3.8 Flash was released on 2026-08-26.
Mistral Large 4 is 1 month newer than Qwen3.8 Flash.
Oct 6, 2026
1 days ago
1mo newerAug 26, 2026
1 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Large 4 is available from Mistral AI. Qwen3.8 Flash is available from Novita.
Mistral Large 4
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Qwen3.8 Flash.