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Qwen3.5 397B A17B vs Qwen3 Coder Next

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 397B A17B and Qwen3 Coder Next.

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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Alibaba

Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

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Technical Specifications

SpecificationQwen3.5 397B A17BQwen3 Coder Next
ProviderAlibabaAlibaba
Context Window256,000 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-162026-02-04

API Pricing Comparison

Input Price per Million Tokens

Qwen3.5 397B A17B

$0.39

Qwen3 Coder Next

$0.11

Output Price per Million Tokens

Qwen3.5 397B A17B

$2.45

Qwen3 Coder Next

$0.80

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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.

Qwen3.5 397B A17B Quirks & Gotchas

No developer gotchas reported.

Qwen3 Coder Next Quirks & Gotchas

No developer gotchas reported.