Mistral Large 3 (675B Instruct 2512 Eagle) vs Qwen3 VL 30B A3B Thinking
Qwen3 VL 30B A3B Thinking leads the LLM Stats Score 18.2 to 8.7.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 30B A3B Thinking leads the overall LLM Stats Score 18.2 to 8.7, ranking #229 overall.
In the 2 individual benchmarks reported for both models, Qwen3 VL 30B A3B Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Large 3 (675B Instruct 2512 Eagle)
- you want the most recent training data — it shipped Dec 2025
Choose Qwen3 VL 30B A3B Thinking
- overall performance matters — it scores 18.2 and ranks #229 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for Mistral Large 3 (675B Instruct 2512 Eagle) · 50 for Qwen3 VL 30B A3B Thinking
Mistral Large 3 (675B Instruct 2512 Eagle) outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (GPQA, SimpleQA).
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Mistral Large 3 (675B Instruct 2512 Eagle) has 644.0B more parameters than Qwen3 VL 30B A3B Thinking, making it 2077.4% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 30B A3B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 3 (675B Instruct 2512 Eagle)
Qwen3 VL 30B A3B Thinking
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 (675B Instruct 2512 Eagle) was released on 2025-12-04, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.
Mistral Large 3 (675B Instruct 2512 Eagle) is 2 months newer than Qwen3 VL 30B A3B Thinking.
Dec 4, 2025
10 months ago
2mo newerSep 22, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 3 (675B Instruct 2512 Eagle) vs Qwen3 VL 30B A3B Thinking.
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