Model Comparison

MiniStral 3 (14B Instruct 2512) vs Qwen3-Next-80B-A3B-ThinkingWhich is better in 2026?

Comparing MiniStral 3 (14B Instruct 2512) and Qwen3-Next-80B-A3B-Thinking across benchmarks, pricing, and capabilities.

Verdict: MiniStral 3 (14B Instruct 2512) vs Qwen3-Next-80B-A3B-Thinking — which is better?

MiniStral 3 (14B Instruct 2512) (by Mistral AI) and Qwen3-Next-80B-A3B-Thinking (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.

Choose MiniStral 3 (14B Instruct 2512) if…

  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3-Next-80B-A3B-Thinking if…

  • you want predictable pricing at $0.15/M input and $1.50/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniStral 3 (14B Instruct 2512) and Qwen3-Next-80B-A3B-Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

66.0B diff

Qwen3-Next-80B-A3B-Thinking has 66.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 471.4% larger.

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
14.0B
MiniStral 3 (14B Instruct 2512)
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

MiniStral 3 (14B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Thinking

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 Instruct 2512)

Apache 2.0

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

MiniStral 3 (14B Instruct 2512) is 3 months newer than Qwen3-Next-80B-A3B-Thinking.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

6 months ago

2mo newer
Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

9 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Supports multimodal inputs
Alibaba Cloud / Qwen Team
Larger context window (65,536 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
MiniStral 3 (14B Instruct 2512)
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about MiniStral 3 (14B Instruct 2512) vs Qwen3-Next-80B-A3B-Thinking.

Which is better, MiniStral 3 (14B Instruct 2512) or Qwen3-Next-80B-A3B-Thinking?

MiniStral 3 (14B Instruct 2512) (Mistral AI) and Qwen3-Next-80B-A3B-Thinking (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MiniStral 3 (14B Instruct 2512) compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for MiniStral 3 (14B Instruct 2512) and Qwen3-Next-80B-A3B-Thinking?

MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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 Instruct 2512) and Qwen3-Next-80B-A3B-Thinking?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniStral 3 (14B Instruct 2512) and Qwen3-Next-80B-A3B-Thinking?

MiniStral 3 (14B Instruct 2512) is developed by Mistral AI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

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