Compare

Qwen 3.5 397B A17B vs Qwen2.5-Coder-32b-Instruct

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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Qwen 3.5 397B A17B
alibaba/qwen3.5-397b-a17b
Qwen2.5-Coder-32b-Instruct
qwen/qwen2.5-coder-32b-instruct
Provider
Alibaba
Alibaba Qwen
Family
Qwen
Qwen
Modality
text
text
Context window
262,144 tok
131,072 tok
Max output
4,096 tok
4,096 tok
Released
2026-05-22
2025-02-27
License
Open-weight
Open-weight
Input price
$0.600 /1M
$0.660 /1M
Output price
$3.60 /1M
$1.00 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
JSON mode
yes
yes
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Qwen 3.5 397B A17B
alibaba/qwen3.5-397b-a17b
Full spec →

Alibaba's Qwen 3.5 is a 397B-parameter mixture-of-experts model with 17B active parameters, offering strong reasoning capabilities with efficient inference.

Strengths
  • MoE efficiency: 17B active of 397B
  • Strong reasoning at low cost
  • 262k context
Use cases
Production chatMulti-lingualCost-sensitive reasoning
Qwen2.5-Coder-32b-Instruct
qwen/qwen2.5-coder-32b-instruct
Full spec →

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:

Strengths
  • Code-tuned
  • Tool calling
  • Multi-lingual code
Use cases
Code generationRepo-scale Q&ACoding agents

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SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Qwen 3.5 397B A17B
client.chat.completions.create(
    model="alibaba/qwen3.5-397b-a17b",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen2.5-Coder-32b-Instruct
client.chat.completions.create(
    model="qwen/qwen2.5-coder-32b-instruct",
    messages=[{"role":"user","content":"hello"}],
)
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