Compare

Qwen 3.5 397B A17B vs Qwen3-Embedding-0.6b

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.

Search2/4
Qwen 3.5 397B A17B
alibaba/qwen3.5-397b-a17b
Qwen3-Embedding-0.6b
qwen/qwen3-embedding-0.6b
Provider
Alibaba
Alibaba Qwen
Family
Qwen
Qwen
Modality
text
embedding
Context window
262,144 tok
Max output
32,768 tok
Released
2026-05-22
2025-06-18
License
Open-weight
Open-weight
Input price
$0.600 /1M
$0.012 /1M
Output price
$3.60 /1M
$0.0000 /1M
Tools
yes
Streaming
yes
Vision
JSON mode
yes
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
View model →
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
Qwen3-Embedding-0.6b
qwen/qwen3-embedding-0.6b
Full spec →

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks.

Strengths
  • Semantic similarity
  • Vector search
Use cases
RAGSemantic searchRecommendation

Compare with another

Claude Opus 4.8 vs Qwen 3.5 397B A17B
anthropic/claude-opus-4.8 · alibaba/qwen3.5-397b-a17b
DeepSeek V4 Pro vs Qwen 3.5 397B A17B
deepseek/deepseek-v4-pro · alibaba/qwen3.5-397b-a17b
MiniMax M3 vs Qwen 3.5 397B A17B
minimax/m3 · alibaba/qwen3.5-397b-a17b
Gemini 3.1 Pro vs Qwen 3.5 397B A17B
google/gemini-3.1-pro · alibaba/qwen3.5-397b-a17b
Claude Sonnet 4.6 vs Qwen 3.5 397B A17B
anthropic/claude-sonnet-4.6 · alibaba/qwen3.5-397b-a17b
GPT-5.5 vs Qwen 3.5 397B A17B
openai/gpt-5.5 · alibaba/qwen3.5-397b-a17b
O3 vs Qwen 3.5 397B A17B
openai/o3 · alibaba/qwen3.5-397b-a17b
Gemini 2.5 Pro vs Qwen 3.5 397B A17B
google/gemini-2.5-pro · alibaba/qwen3.5-397b-a17b
Kimi-K2.7-Code vs Qwen 3.5 397B A17B
moonshot/kimi-k2.7-code · alibaba/qwen3.5-397b-a17b
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"}],
)

# Qwen3-Embedding-0.6b
client.chat.completions.create(
    model="qwen/qwen3-embedding-0.6b",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →