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Qwen3.5-27B vs Qwen3.5 397B A17B

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 Qwen3.5-27B and Qwen3.5 397B A17B.

Alibaba

Qwen3.5-27B

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

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Alibaba

Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

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Technical Specifications

SpecificationQwen3.5-27BQwen3.5 397B A17B
ProviderAlibabaAlibaba
Context Window262,144 tokens256,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-252026-02-16

API Pricing Comparison

Input Price per Million Tokens

Qwen3.5-27B

$0.20

Qwen3.5 397B A17B

$0.39

Output Price per Million Tokens

Qwen3.5-27B

$1.56

Qwen3.5 397B A17B

$2.45

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

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

Qwen3.5-27B Quirks & Gotchas

No developer gotchas reported.

Qwen3.5 397B A17B Quirks & Gotchas

No developer gotchas reported.