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MiniStral 3 (14B Instruct 2512) vs Qwen3-Next-80B-A3B-Thinking

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

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MiniStral 3 (14B Instruct 2512) and Qwen3-Next-80B-A3B-Thinking trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose MiniStral 3 (14B Instruct 2512)

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

Choose Qwen3-Next-80B-A3B-Thinking

  • you want predictable pricing at $0.15/M input and $1.50/M output

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.15 / M
Output price
— / M
$1.50 / M
Context window
65,536
Released
Dec 2025
Sep 2025
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Playground indexes and blind preference scores

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 Aug 25 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

8 months ago

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

Sep 10, 2025

11 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

Judge for yourself.

Run your own prompts against MiniStral 3 (14B Instruct 2512) and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

MiniStral 3 (14B Instruct 2512)
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

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.