Model Comparison

Qwen3.5-397B-A17B vs Mistral Large 2

Comparing Qwen3.5-397B-A17B and Mistral Large 2 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen3.5-397B-A17B and Mistral Large 2 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

Qwen3.5-397B-A17B costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 3.3x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 1.7x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 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 Apr 15 2026 • llm-stats.com

Qwen3.5-397B-A17B

Input tokens$0.60

Output tokens$3.60

Best providerNovita

Mistral Large 2

Input tokens$2.00

Output tokens$6.00

Best providerGoogle

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

274.0B diff

Qwen3.5-397B-A17B has 274.0B more parameters than Mistral Large 2, making it 222.8% larger.

Qwen3.5-397B-A17B

397.0Bparameters

Mistral Large 2

123.0Bparameters

397.0B

Qwen3.5-397B-A17B

123.0B

Mistral Large 2

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to Mistral Large 2's 128,000 tokens. Mistral Large 2 can generate longer responses up to 128,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Qwen3.5-397B-A17B

Input262,144 tokens

Output64,000 tokens

Mistral Large 2

Input128,000 tokens

Output128,000 tokens

Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas Mistral Large 2 does not.

Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.5-397B-A17B

Text

Images

Audio

Video

Mistral Large 2

Text

Images

Audio

Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while Mistral Large 2 uses Mistral Research 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 Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Mistral Large 2 was released on 2024-07-24.

Qwen3.5-397B-A17B is 19 months newer than Mistral Large 2.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

1.6yr newer

Mistral Large 2

Jul 24, 2024

1.7 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

Qwen3.5-397B-A17B is available from Novita. Mistral Large 2 is available from Google, Mistral AI.

Qwen3.5-397B-A17B

Novita

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

Mistral Large 2

Google

Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Mistral

Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Mistral Large 2

View details

Mistral AI

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3.5-397B-A17B	Mistral Large 2

FAQ

Common questions about Qwen3.5-397B-A17B vs Mistral Large 2

Qwen3.5-397B-A17B (Alibaba Cloud / Qwen Team) and Mistral Large 2 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Qwen3.5-397B-A17B is 3.3x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

Qwen3.5-397B-A17B supports 262K tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include context window (262K vs 128K), input pricing ($0.60 vs $2.00/M), multimodal support (yes vs no), licensing (Apache 2.0 vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Mistral Large 2 is developed by Mistral AI.

Qwen3.5-397B-A17B vs Mistral Large 2

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Qwen3.5-397B-A17B

Mistral Large 2

License

Release Timeline

Knowledge Cutoff

Provider Availability

Qwen3.5-397B-A17B

Mistral Large 2

Outputs Comparison

Key Takeaways

Qwen3.5-397B-A17B

Mistral Large 2

Detailed Comparison

FAQ

Which is better, Qwen3.5-397B-A17B or Mistral Large 2?

How does Qwen3.5-397B-A17B compare to Mistral Large 2 in benchmarks?

Is Qwen3.5-397B-A17B cheaper than Mistral Large 2?

What are the context window sizes for Qwen3.5-397B-A17B and Mistral Large 2?

What are the main differences between Qwen3.5-397B-A17B and Mistral Large 2?

Who makes Qwen3.5-397B-A17B and Mistral Large 2?