Model Comparison

Ministral 3 (8B Base 2512) vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Verdict: Ministral 3 (8B Base 2512) vs Qwen3-235B-A22B-Instruct-2507 — which is better?

Ministral 3 (8B Base 2512) (by Mistral AI) and Qwen3-235B-A22B-Instruct-2507 (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 (8B Base 2512) outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 1 benchmark (MMLU-Redux). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Choose Ministral 3 (8B Base 2512) if…

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

Choose Qwen3-235B-A22B-Instruct-2507 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Ministral 3 (8B Base 2512) outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 1 benchmark (MMLU-Redux).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

227.0B diff

Qwen3-235B-A22B-Instruct-2507 has 227.0B more parameters than Ministral 3 (8B Base 2512), making it 2837.5% larger.

Mistral AI
Ministral 3 (8B Base 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
8.0B
Ministral 3 (8B Base 2512)
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Mistral AI
Ministral 3 (8B Base 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Base 2512) supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Ministral 3 (8B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ministral 3 (8B Base 2512)

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

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 (8B Base 2512)

Apache 2.0

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Base 2512) was released on 2025-12-04, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Ministral 3 (8B Base 2512) is 5 months newer than Qwen3-235B-A22B-Instruct-2507.

Ministral 3 (8B Base 2512)

Dec 4, 2025

7 months ago

4mo newer
Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.0 years 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 (262,144 tokens)
Higher MMLU-Redux score (93.1% vs 79.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Ministral 3 (8B Base 2512) and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Ministral 3 (8B Base 2512)
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (8B Base 2512)
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Ministral 3 (8B Base 2512) vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Ministral 3 (8B Base 2512) or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Ministral 3 (8B Base 2512) is made by Mistral AI and Qwen3-235B-A22B-Instruct-2507 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 (8B Base 2512) compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Ministral 3 (8B Base 2512) scores MMLU-Redux: 79.3%, MMLU: 76.1%, Multilingual MMLU: 70.6%, TriviaQA: 68.1%, MATH (CoT): 62.6%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Ministral 3 (8B Base 2512) and Qwen3-235B-A22B-Instruct-2507?

Ministral 3 (8B Base 2512) supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 (8B Base 2512) and Qwen3-235B-A22B-Instruct-2507?

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

Who makes Ministral 3 (8B Base 2512) and Qwen3-235B-A22B-Instruct-2507?

Ministral 3 (8B Base 2512) is developed by Mistral AI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

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