Ministral 3 (8B Reasoning 2512) vs Qwen3-Coder Comparison

Comparing Ministral 3 (8B Reasoning 2512) and Qwen3-Coder across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 3 (8B Reasoning 2512) and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 3 (8B Reasoning 2512) costs less

For input processing, Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens) is 1.2x cheaper than Qwen3-Coder ($0.18/1M tokens).

For output processing, Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens) is 1.2x cheaper than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Qwen3-Coder is more expensive than Ministral 3 (8B Reasoning 2512).*

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

472.0B diff

Qwen3-Coder has 472.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 5900.0% larger.

Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
8.0B
Ministral 3 (8B Reasoning 2512)
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Ministral 3 (8B Reasoning 2512) accepts 262,100 input tokens compared to Qwen3-Coder's 256,000 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Qwen3-Coder is limited to 256,000 tokens.

Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas Qwen3-Coder does not.

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

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

Qwen3-Coder

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 Reasoning 2512)

Apache 2.0

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Reasoning 2512) was released on 2025-12-04, while Qwen3-Coder was released on 2025-01-01.

Ministral 3 (8B Reasoning 2512) is 11 months newer than Qwen3-Coder.

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

3 months ago

11mo newer
Qwen3-Coder

Jan 1, 2025

1.2 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 (8B Reasoning 2512) is available from Mistral AI. Qwen3-Coder is available from DeepInfra, Fireworks. The availability of providers can affect quality of the model and reliability.

Ministral 3 (8B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (8B Reasoning 2512)
Alibaba Cloud / Qwen Team
Qwen3-Coder