Model Comparison

Qwen3.5-397B-A17B vs Ministral 3 (14B Reasoning 2512)

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is 6.8x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen3.5-397B-A17B outperforms in 1 benchmarks (GPQA), while Ministral 3 (14B Reasoning 2512) is better at 0 benchmarks.

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 3 (14B Reasoning 2512) costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 3.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 18.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Ministral 3 (14B Reasoning 2512).*

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

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
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Model Size

Parameter count comparison

383.0B diff

Qwen3.5-397B-A17B has 383.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 2735.7% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
397.0B
Qwen3.5-397B-A17B
14.0B
Ministral 3 (14B Reasoning 2512)

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to Ministral 3 (14B Reasoning 2512)'s 262,100 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and Ministral 3 (14B Reasoning 2512) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

Ministral 3 (14B Reasoning 2512)

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.

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.

Qwen3.5-397B-A17B is 2 months newer than Ministral 3 (14B Reasoning 2512).

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

2mo newer
Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

4 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

Provider Availability

Qwen3.5-397B-A17B is available from Novita. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Higher GPQA score (88.4% vs 71.2%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

FAQ

Common questions about Qwen3.5-397B-A17B vs Ministral 3 (14B Reasoning 2512)

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Ministral 3 (14B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%.
Ministral 3 (14B Reasoning 2512) is 3.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral.
Qwen3.5-397B-A17B supports 262K tokens and Ministral 3 (14B Reasoning 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 262K), input pricing ($0.60 vs $0.20/M). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Ministral 3 (14B Reasoning 2512) is developed by Mistral AI.