Ministral 3 (14B Base 2512) vs Qwen3 VL 235B A22B Thinking
Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 3.6.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 235B A22B Thinking leads the overall LLM Stats Score 26.7 to 3.6, ranking #148 overall.
In the 2 individual benchmarks reported for both models, Qwen3 VL 235B A22B 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 Ministral 3 (14B Base 2512)
- you want the most recent training data — it shipped Dec 2025
Choose Qwen3 VL 235B A22B Thinking
- overall performance matters — it scores 26.7 and ranks #148 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
6 reported for Ministral 3 (14B Base 2512) · 67 for Qwen3 VL 235B A22B Thinking
Ministral 3 (14B Base 2512) outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 2 benchmarks (MMLU, MMLU-Redux).
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 222.0B more parameters than Ministral 3 (14B Base 2512), making it 1585.7% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Both Ministral 3 (14B Base 2512) and Qwen3 VL 235B A22B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Ministral 3 (14B Base 2512)
Qwen3 VL 235B A22B 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
Ministral 3 (14B Base 2512) was released on 2025-12-04, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.
Ministral 3 (14B Base 2512) is 2 months newer than Qwen3 VL 235B A22B Thinking.
Dec 4, 2025
9 months ago
2mo newerSep 22, 2025
12 months 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 Ministral 3 (14B Base 2512) and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ministral 3 (14B Base 2512) vs Qwen3 VL 235B A22B Thinking.