Model Comparison

Ministral 3 (14B Reasoning 2512) vs Qwen3 VL 30B A3B InstructWhich is better in 2026?

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is 1.6x cheaper per token.

Verdict: Ministral 3 (14B Reasoning 2512) vs Qwen3 VL 30B A3B Instruct — which is better?

Ministral 3 (14B Reasoning 2512) (by Mistral AI) and Qwen3 VL 30B A3B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Ministral 3 (14B Reasoning 2512) outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 VL 30B A3B Instruct is better at 0 benchmarks. Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.

On price, Ministral 3 (14B Reasoning 2512) is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ministral 3 (14B Reasoning 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.

Choose Ministral 3 (14B Reasoning 2512) if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 1.6x cheaper per token
  • you process long inputs — it offers a 262,100 token context window
  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3 VL 30B A3B Instruct if…

  • you want predictable pricing at $0.20/M input and $0.70/M output

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Ministral 3 (14B Reasoning 2512) outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 VL 30B A3B Instruct is better at 0 benchmarks.

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 3 (14B Reasoning 2512) costs less

For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) costs the same as Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).

For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 3.5x cheaper than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).

In conclusion, Qwen3 VL 30B A3B Instruct is more expensive than Ministral 3 (14B Reasoning 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input tokens$0.20
Output tokens$0.70
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

17.0B diff

Qwen3 VL 30B A3B Instruct has 17.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 121.4% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
31.0Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
31.0B
Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to Qwen3 VL 30B A3B Instruct's 131,072 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Qwen3 VL 30B A3B Instruct is limited to 32,768 tokens.

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input131,072 tokens
Output32,768 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Ministral 3 (14B Reasoning 2512) and Qwen3 VL 30B A3B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Qwen3 VL 30B A3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

Ministral 3 (14B Reasoning 2512) is 2 months newer than Qwen3 VL 30B A3B Instruct.

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

7 months ago

2mo newer
Qwen3 VL 30B A3B Instruct

Sep 22, 2025

10 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Ministral 3 (14B Reasoning 2512) is available from Mistral AI. Qwen3 VL 30B A3B Instruct is available from Novita, DeepInfra.

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Qwen3 VL 30B A3B Instruct

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.70/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (262,100 tokens)
Less expensive output tokens
Higher AIME 2025 score (85.0% vs 69.3%)
Higher GPQA score (71.2% vs 70.4%)
Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Ministral 3 (14B Reasoning 2512) and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
Qwen3 VL 30B A3B Instruct
Open in Playground

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Qwen3 VL 30B A3B Instruct.

Which is better, Ministral 3 (14B Reasoning 2512) or Qwen3 VL 30B A3B Instruct?

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and Qwen3 VL 30B A3B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Ministral 3 (14B Reasoning 2512) compare to Qwen3 VL 30B A3B Instruct in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

Is Ministral 3 (14B Reasoning 2512) cheaper than Qwen3 VL 30B A3B Instruct?

Both models cost $0.20 per million input tokens.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and Qwen3 VL 30B A3B Instruct?

Ministral 3 (14B Reasoning 2512) supports 262K tokens and Qwen3 VL 30B A3B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ministral 3 (14B Reasoning 2512) and Qwen3 VL 30B A3B Instruct?

Key differences include context window (262K vs 131K). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Reasoning 2512) and Qwen3 VL 30B A3B Instruct?

Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.