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Ministral 3 (14B Reasoning 2512) vs Qwen3 32B

Ministral 3 (14B Reasoning 2512) and Qwen3 32B are closely matched at 20.6 and 18.4 on the LLM Stats Score. Qwen3 32B is 1.5x cheaper per token.

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

Which is better?

Ministral 3 (14B Reasoning 2512) and Qwen3 32B are closely matched on the overall LLM Stats Score at 20.6 and 18.4.

In the 3 individual benchmarks reported for both models, Ministral 3 (14B Reasoning 2512) wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 32B is roughly 1.5x 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.

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

Choose Ministral 3 (14B Reasoning 2512)

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • 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 32B

  • cost matters — it's about 1.5x cheaper per token

At a glance

The differences that matter most.

Core performance indexes
20.6
#192
18.4
#211
20.6
#183
18.7
#205
11.1
#159
8.9
#177
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.20 / M
$0.08 / M
Output price
$0.20 / M
$0.28 / M
Context window
262,100
40,960

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (14B Reasoning 2512)
Qwen3 32B
21.1#151
21.2#148
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 9 for Qwen3 32B

3 shared

Ministral 3 (14B Reasoning 2512) outperforms in 2 benchmarks (AIME 2024, AIME 2025), while Qwen3 32B is better at 1 benchmark (LiveCodeBench).

Ministral 3 (14B Reasoning 2512) shows notably better performance in the majority of benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 2.5x more expensive than Qwen3 32B ($0.08/1M tokens).

For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 1.4x cheaper than Qwen3 32B ($0.28/1M tokens).

In conclusion, Ministral 3 (14B Reasoning 2512) is more expensive than Qwen3 32B.*

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

Lowest available price from all providers
Thu Sep 10 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 32B
Input tokens$0.08
Output tokens$0.28
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

18.8B diff

Qwen3 32B has 18.8B more parameters than Ministral 3 (14B Reasoning 2512), making it 134.3% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to Qwen3 32B's 40,960 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Qwen3 32B is limited to 40,960 tokens.

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input40,960 tokens
Output40,960 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Qwen3 32B does not.

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

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Qwen3 32B

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 32B

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 32B was released on 2025-04-29.

Ministral 3 (14B Reasoning 2512) is 7 months newer than Qwen3 32B.

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

9 months ago

7mo newer
Qwen3 32B

Apr 29, 2025

1.4 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

Provider Availability

Ministral 3 (14B Reasoning 2512) is available from Mistral AI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

Ministral 3 (14B Reasoning 2512)

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

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.28/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Ministral 3 (14B Reasoning 2512) and Qwen3 32B side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
Qwen3 32B
Open in Playground

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Qwen3 32B.

Which is better, Ministral 3 (14B Reasoning 2512) or Qwen3 32B?

Ministral 3 (14B Reasoning 2512) and Qwen3 32B are closely matched on the LLM Stats Score at 20.6 and 18.4. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and Qwen3 32B 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 Reasoning 2512) compare to Qwen3 32B in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

Is Ministral 3 (14B Reasoning 2512) cheaper than Qwen3 32B?

Qwen3 32B is 2.5x cheaper for input tokens. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral. Qwen3 32B costs $0.08/M input and $0.28/M output via deepinfra.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and Qwen3 32B?

Ministral 3 (14B Reasoning 2512) supports 262K tokens and Qwen3 32B supports 41K 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 32B?

Key differences include LLM Stats Score (20.6 vs 18.4), context window (262K vs 41K), input pricing ($0.20 vs $0.08/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Reasoning 2512) and Qwen3 32B?

Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.