Model Comparison

Qwen3.5-397B-A17B vs Mistral Medium 3.5

Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks. Qwen3.5-397B-A17B is 2.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen3.5-397B-A17B outperforms in 2 benchmarks (BrowseComp, IFBench), while Mistral Medium 3.5 is better at 1 benchmark (SWE-Bench Verified).

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

Wed May 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.5-397B-A17B costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 2.5x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 2.1x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).

In conclusion, Mistral Medium 3.5 is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers

Wed May 20 2026 • llm-stats.com

Qwen3.5-397B-A17B

Input tokens$0.60

Output tokens$3.60

Best providerNovita

Mistral Medium 3.5

Input tokens$1.50

Output tokens$7.50

Best providerMistral

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

269.0B diff

Qwen3.5-397B-A17B has 269.0B more parameters than Mistral Medium 3.5, making it 210.2% larger.

Qwen3.5-397B-A17B

397.0Bparameters

Mistral Medium 3.5

128.0Bparameters

397.0B

Qwen3.5-397B-A17B

128.0B

Mistral Medium 3.5

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Qwen3.5-397B-A17B

Input262,144 tokens

Output64,000 tokens

Mistral Medium 3.5

Input256,000 tokens

Output256,000 tokens

Wed May 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and Mistral Medium 3.5 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 Medium 3.5

Text

Images

Audio

Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while Mistral Medium 3.5 uses Modified MIT License.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Mistral Medium 3.5

Modified MIT License

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Mistral Medium 3.5 was released on 2026-04-29.

Mistral Medium 3.5 is 2 months newer than Qwen3.5-397B-A17B.

Qwen3.5-397B-A17B

Feb 16, 2026

3 months ago

Mistral Medium 3.5

Apr 29, 2026

3 weeks ago

2mo 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 Medium 3.5 is available from Mistral AI.

Qwen3.5-397B-A17B

Novita

Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

Mistral Medium 3.5

Mistral

Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Less expensive output tokens

Higher BrowseComp score (69.0% vs 48.6%)

Higher IFBench score (76.5% vs 69.0%)

Mistral Medium 3.5

View details

Mistral AI

Higher SWE-Bench Verified score (77.6% vs 76.4%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3.5-397B-A17B	Mistral Medium 3.5

FAQ

Common questions about Qwen3.5-397B-A17B vs Mistral Medium 3.5.

Which is better, Qwen3.5-397B-A17B or Mistral Medium 3.5?

Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Mistral Medium 3.5 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.5-397B-A17B compare to Mistral Medium 3.5 in benchmarks?

Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%.

Is Qwen3.5-397B-A17B cheaper than Mistral Medium 3.5?

Qwen3.5-397B-A17B is 2.5x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral.

What are the context window sizes for Qwen3.5-397B-A17B and Mistral Medium 3.5?

Qwen3.5-397B-A17B supports 262K tokens and Mistral Medium 3.5 supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.5-397B-A17B and Mistral Medium 3.5?

Key differences include context window (262K vs 256K), input pricing ($0.60 vs $1.50/M), licensing (Apache 2.0 vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.5-397B-A17B and Mistral Medium 3.5?

Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Mistral Medium 3.5 is developed by Mistral AI.