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MiniStral 3 (14B Instruct 2512) vs Qwen3 Max

Qwen3 Max leads the LLM Stats Score 21.7 to 10.1.

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

Which is better?

Qwen3 Max leads the overall LLM Stats Score 21.7 to 10.1, ranking #190 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiniStral 3 (14B Instruct 2512)

  • you need open weights you can self-host or fine-tune

Choose Qwen3 Max

  • overall performance matters — it scores 21.7 and ranks #190 on LLM Stats
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Core performance indexes
10.1
#271
21.7
#190
11.9
#254
21.9
#181
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.50 / M
Output price
— / M
$5.00 / M
Context window
256,000

Individual benchmarks

4 reported for MiniStral 3 (14B Instruct 2512) · 6 for Qwen3 Max

No common benchmarks found

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

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

986.0B diff

Qwen3 Max has 986.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 7042.9% larger.

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
14.0B
MiniStral 3 (14B Instruct 2512)
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Only Qwen3 Max specifies input context (256,000 tokens). Only Qwen3 Max specifies output context (131,072 tokens).

Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas Qwen3 Max 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 Max

Text
Images
Audio
Video

License

Usage and distribution terms

MiniStral 3 (14B Instruct 2512) is licensed under Apache 2.0, while Qwen3 Max uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 0 month newer than MiniStral 3 (14B Instruct 2512).

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

9 months ago

Qwen3 Max

Dec 15, 2025

9 months ago

1w newer

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 Max side-by-side, then vote on the output you prefer.

MiniStral 3 (14B Instruct 2512)
✓ Preferred
Qwen3 Max
Open in Playground

FAQ

Common questions about MiniStral 3 (14B Instruct 2512) vs Qwen3 Max.

Which is better, MiniStral 3 (14B Instruct 2512) or Qwen3 Max?

Qwen3 Max leads the LLM Stats Score 21.7 to 10.1. MiniStral 3 (14B Instruct 2512) is made by Mistral AI and Qwen3 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiniStral 3 (14B Instruct 2512) compare to Qwen3 Max 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 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

What are the context window sizes for MiniStral 3 (14B Instruct 2512) and Qwen3 Max?

MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens and Qwen3 Max supports 256K 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 Max?

Key differences include LLM Stats Score (10.1 vs 21.7), multimodal support (yes vs no), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniStral 3 (14B Instruct 2512) and Qwen3 Max?

MiniStral 3 (14B Instruct 2512) is developed by Mistral AI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.