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Qwen3 235B A22B Thinking 2507 vs Qwen3.6 Flash

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 Qwen3.6 Flash.

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

Qwen3.6 Flash

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...

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Technical Specifications

SpecificationQwen3 235B A22B Thinking 2507Qwen3.6 Flash
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 Date2025-07-252026-04-27

API Pricing Comparison

Input Price per Million Tokens

Qwen3 235B A22B Thinking 2507

$0.15

Qwen3.6 Flash

$0.19

Output Price per Million Tokens

Qwen3 235B A22B Thinking 2507

$1.50

Qwen3.6 Flash

$1.13

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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.

Qwen3.6 Flash Quirks & Gotchas

No developer gotchas reported.