Qwen3.5-397B-A17B vs Qwen3-235B-A22B-Thinking-2507 Comparison
Comparing Qwen3.5-397B-A17B and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.5-397B-A17B outperforms in 11 benchmarks (GPQA, HMMT25, Humanity's Last Exam, IFEval, Include, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, MMLU-Redux, PolyMATH, SuperGPQA), while Qwen3-235B-A22B-Thinking-2507 is better at 0 benchmarks.
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 2.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).
For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 1.2x more expensive than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).
In conclusion, Qwen3.5-397B-A17B is more expensive than Qwen3-235B-A22B-Thinking-2507.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3.5-397B-A17B has 162.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 68.9% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 262,144 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.5-397B-A17B supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 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
Qwen3-235B-A22B-Thinking-2507
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3.5-397B-A17B was released on 2026-02-16, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
Qwen3.5-397B-A17B is 7 months newer than Qwen3-235B-A22B-Thinking-2507.
Feb 16, 2026
4 weeks ago
6mo newerJul 25, 2025
7 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.5-397B-A17B is available from Novita. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita. The availability of providers can affect quality of the model and reliability.
Qwen3.5-397B-A17B
Qwen3-235B-A22B-Thinking-2507
Outputs Comparison
Key Takeaways
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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