Qwen3.5-397B-A17B vs Mistral Small 4 Comparison

Comparing Qwen3.5-397B-A17B and Mistral Small 4 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen3.5-397B-A17B outperforms in 3 benchmarks (GPQA, IFBench, MMLU-Pro), while Mistral Small 4 is better at 1 benchmark (AA-LCR).

Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks.

Wed Mar 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 4 costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 4.0x more expensive than Mistral Small 4 ($0.15/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 6.0x more expensive than Mistral Small 4 ($0.60/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Mistral Small 4.*

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

Lowest available price from all providers
Wed Mar 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
Mistral Small 4
Input tokens$0.15
Output tokens$0.60
Best providerMistral
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Model Size

Parameter count comparison

278.0B diff

Qwen3.5-397B-A17B has 278.0B more parameters than Mistral Small 4, making it 233.6% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
Mistral AI
Mistral Small 4
119.0Bparameters
397.0B
Qwen3.5-397B-A17B
119.0B
Mistral Small 4

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to Mistral Small 4's 256,000 tokens. Mistral Small 4 can generate longer responses up to 256,000 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
Mistral Small 4
Input256,000 tokens
Output256,000 tokens
Wed Mar 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and Mistral Small 4 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

Mistral Small 4

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

Mistral Small 4

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Mistral Small 4 was released on 2026-03-16.

Mistral Small 4 is 1 month newer than Qwen3.5-397B-A17B.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

Mistral Small 4

Mar 16, 2026

2 days ago

4w 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

Provider Availability

Qwen3.5-397B-A17B is available from Novita. Mistral Small 4 is available from Mistral AI. The availability of providers can affect quality of the model and reliability.

Qwen3.5-397B-A17B

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

Mistral Small 4

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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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%)
Higher IFBench score (76.5% vs 48.0%)
Higher MMLU-Pro score (87.8% vs 78.0%)
Less expensive input tokens
Less expensive output tokens
Higher AA-LCR score (71.2% vs 68.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Mistral AI
Mistral Small 4