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Qwen3 235B A22B Thinking 2507 vs Qwen3.5 Plus 2026-02-15

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Qwen3 235B A22B Thinking 2507 and Qwen3.5 Plus 2026-02-15.

Alibaba

Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

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Alibaba

Qwen3.5 Plus 2026-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

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Technical Specifications

SpecificationQwen3 235B A22B Thinking 2507Qwen3.5 Plus 2026-02-15
ProviderAlibabaAlibaba
Context Window262,144 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-07-252026-02-16

API Pricing Comparison

Input Price per Million Tokens

Qwen3 235B A22B Thinking 2507

$0.15

Qwen3.5 Plus 2026-02-15

$0.26

Output Price per Million Tokens

Qwen3 235B A22B Thinking 2507

$1.50

Qwen3.5 Plus 2026-02-15

$1.56

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Qwen3 235B A22B Thinking 2507 Quirks & Gotchas

No developer gotchas reported.

Qwen3.5 Plus 2026-02-15 Quirks & Gotchas

No developer gotchas reported.