Compare

Qwen3.8-Max 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.

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Qwen3.8-Max
alibaba/qwen3.8-max
Qwen3-Embedding-0.6b
qwen/qwen3-embedding-0.6b
Provider
Alibaba
Alibaba Qwen
Family
Qwen
Qwen
Modality
text
embedding
Context window
1,000,000 tok
—
Max output
131,072 tok
—
Released
2026-08-02
2025-06-18
License
Open-weight
Open-weight
Input price
$2.00 /1M
$0.012 /1M
Output price
$6.00 /1M
$0.0000 /1M
Tools
yes
—
Streaming
yes
—
Vision
yes
—
JSON mode
yes
—
Reasoning
yes
—
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
View model →
Qwen3.8-Max
alibaba/qwen3.8-max
Full spec →

Alibaba's Qwen 3.8 Max is a 2.4-trillion-parameter MoE flagship built for professional-grade coding and long-horizon autonomous work, capable of delivering complete, production-grade projects spanning 10+ days across legal, financial, design, and other specialized domains. Native visual understanding of images and extended video runs through the full plan-execute-verify cycle, served via DashScope's OpenAI-compatible endpoint.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
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

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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-...",
)

# Qwen3.8-Max
client.chat.completions.create(
    model="alibaba/qwen3.8-max",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen3-Embedding-0.6b
client.chat.completions.create(
    model="qwen/qwen3-embedding-0.6b",
    messages=[{"role":"user","content":"hello"}],
)
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