Mistral Large 3 vs Qwen3 VL 8B Instruct
Both models are evenly matched across the benchmarks. Qwen3 VL 8B Instruct is 14.9x cheaper per token.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Mistral Large 3 outperforms in 1 benchmarks (MM-MT-Bench), while Qwen3 VL 8B Instruct is better at 1 benchmark (MMLU-Redux). Both models are evenly matched across the benchmarks.
On price, Qwen3 VL 8B Instruct is roughly 14.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 8B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Mistral Large 3
- you want predictable pricing at $2.00/M input and $5.00/M output
Choose Qwen3 VL 8B Instruct
- cost matters — it's about 14.9x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 3 outperforms in 1 benchmarks (MM-MT-Bench), while Qwen3 VL 8B Instruct is better at 1 benchmark (MMLU-Redux).
Both models are evenly matched across the benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Large 3 ($2.00/1M tokens) is 25.0x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).
For output processing, Mistral Large 3 ($5.00/1M tokens) is 10.0x more expensive than Qwen3 VL 8B Instruct ($0.50/1M tokens).
In conclusion, Mistral Large 3 is more expensive than Qwen3 VL 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 3 has 666.0B more parameters than Qwen3 VL 8B Instruct, making it 7400.0% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 8B Instruct accepts 131,072 input tokens compared to Mistral Large 3's 128,000 tokens. Qwen3 VL 8B Instruct can generate longer responses up to 32,768 tokens, while Mistral Large 3 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Both Mistral Large 3 and Qwen3 VL 8B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 3
Qwen3 VL 8B Instruct
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral Large 3 was released on 2025-09-01, while Qwen3 VL 8B Instruct was released on 2025-09-22.
Qwen3 VL 8B Instruct is 1 month newer than Mistral Large 3.
Sep 1, 2025
11 months ago
Sep 22, 2025
11 months ago
3w 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 Large 3 is available from Mistral AI. Qwen3 VL 8B Instruct is available from Novita, DeepInfra.
Mistral Large 3
Qwen3 VL 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 3 and Qwen3 VL 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 3 vs Qwen3 VL 8B Instruct.