Model Comparison

Qwen3.5-397B-A17B vs Devstral Small 1.1

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Devstral Small 1.1 is 9.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen3.5-397B-A17B outperforms in 1 benchmarks (SWE-Bench Verified), while Devstral Small 1.1 is better at 0 benchmarks.

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

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Devstral Small 1.1 costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 6.0x more expensive than Devstral Small 1.1 ($0.10/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 12.0x more expensive than Devstral Small 1.1 ($0.30/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers

Thu Apr 16 2026 • llm-stats.com

Qwen3.5-397B-A17B

Input tokens$0.60

Output tokens$3.60

Best providerNovita

Devstral Small 1.1

Input tokens$0.10

Output tokens$0.30

Best providerMistral

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

373.0B diff

Qwen3.5-397B-A17B has 373.0B more parameters than Devstral Small 1.1, making it 1554.2% larger.

Qwen3.5-397B-A17B

397.0Bparameters

Devstral Small 1.1

24.0Bparameters

397.0B

Qwen3.5-397B-A17B

24.0B

Devstral Small 1.1

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to Devstral Small 1.1's 128,000 tokens. Devstral Small 1.1 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

Devstral Small 1.1

Input128,000 tokens

Output128,000 tokens

Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas Devstral Small 1.1 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

Devstral Small 1.1

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

Devstral Small 1.1

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Devstral Small 1.1 was released on 2025-07-11.

Qwen3.5-397B-A17B is 7 months newer than Devstral Small 1.1.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

7mo newer

Devstral Small 1.1

Jul 11, 2025

9 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. Devstral Small 1.1 is available from Mistral AI.

Qwen3.5-397B-A17B

Novita

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

Devstral Small 1.1

Mistral

Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

* 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

Higher SWE-Bench Verified score (76.4% vs 53.6%)

Devstral Small 1.1

View details

Mistral AI

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3.5-397B-A17B	Devstral Small 1.1

FAQ

Common questions about Qwen3.5-397B-A17B vs Devstral Small 1.1

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Devstral Small 1.1 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%. Devstral Small 1.1 scores SWE-Bench Verified: 53.6%.

Devstral Small 1.1 is 6.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral.

Qwen3.5-397B-A17B supports 262K tokens and Devstral Small 1.1 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 $0.10/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Devstral Small 1.1 is developed by Mistral AI.

Qwen3.5-397B-A17B vs Devstral Small 1.1

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Qwen3.5-397B-A17B

Devstral Small 1.1

License

Release Timeline

Knowledge Cutoff

Provider Availability

Qwen3.5-397B-A17B

Devstral Small 1.1

Outputs Comparison

Key Takeaways

Qwen3.5-397B-A17B

Devstral Small 1.1

Detailed Comparison

FAQ

Which is better, Qwen3.5-397B-A17B or Devstral Small 1.1?

How does Qwen3.5-397B-A17B compare to Devstral Small 1.1 in benchmarks?

Is Qwen3.5-397B-A17B cheaper than Devstral Small 1.1?

What are the context window sizes for Qwen3.5-397B-A17B and Devstral Small 1.1?

What are the main differences between Qwen3.5-397B-A17B and Devstral Small 1.1?

Who makes Qwen3.5-397B-A17B and Devstral Small 1.1?