Compare

Qwen3-Embedding-0.6b vs Qwen3.8-27b

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-Embedding-0.6b
qwen/qwen3-embedding-0.6b
Qwen3.8-27b
qwen/qwen3.8-27b
Provider
Alibaba Qwen
Alibaba Qwen
Family
Qwen
Qwen
Modality
embedding
text
Context window
—
262,144 tok
Max output
—
32,768 tok
Released
2025-06-18
2026-08-17
License
Open-weight
Open-weight
Input price
$0.012 /1M
$0.450 /1M
Output price
$0.0000 /1M
$3.20 /1M
Tools
—
yes
Streaming
—
yes
Vision
—
yes
JSON mode
—
yes
Reasoning
—
yes
Prompt caching
—
—
Batch API
—
—
Try it
View model →
Open in playground →
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
Qwen3.8-27b
qwen/qwen3.8-27b
Full spec →

Qwen 3.8 27B is a 27-billion-parameter instruction-tuned language model from Alibaba's Qwen family, designed for vision, efficient general-purpose text generation and agentic workloads.

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

Compare with another

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Claude Opus 5.5 vs Qwen3.8-27b
anthropic/claude-opus-5.5 · qwen/qwen3.8-27b
Grok 4.7 vs Qwen3.8-27b
xai/grok-4.7 · qwen/qwen3.8-27b
Glm-5.3 vs Qwen3.8-27b
zai-org/glm-5.3 · qwen/qwen3.8-27b
Kimi K3 vs Qwen3.8-27b
moonshot/kimi-k3 · qwen/qwen3.8-27b
Qwen3.8-Max vs Qwen3.8-27b
alibaba/qwen3.8-max · qwen/qwen3.8-27b
GPT-5.6 Sol vs Qwen3.8-27b
openai/gpt-5.6-sol · qwen/qwen3.8-27b
Qwen-Image-2.1-Pro vs Qwen3.8-27b
alibaba/qwen-image-2.1-pro · qwen/qwen3.8-27b
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-Embedding-0.6b
client.chat.completions.create(
    model="qwen/qwen3-embedding-0.6b",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen3.8-27b
client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →