Compare

Qwen Image 3.0 Pro 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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Qwen Image 3.0 Pro
alibaba/qwen-image-3.0-pro
Qwen3-Embedding-0.6b
qwen/qwen3-embedding-0.6b
Provider
Alibaba
Alibaba Qwen
Family
Qwen
Qwen
Modality
image
embedding
Context window
Max output
Released
2026-08-11
2025-06-18
License
Open-weight
Open-weight
Input price
$0.012 /1M
Output price
$0.0000 /1M
Per image
$0.040 /img
Tools
Streaming
Vision
JSON mode
Reasoning
Prompt caching
Batch API
Try it
View model →
View model →
Qwen Image 3.0 Pro
alibaba/qwen-image-3.0-pro
Full spec →

Alibaba's Qwen Image 3.0 Pro generates images from text prompts with a focus on complex layout generation, small-text precision, and multilingual font rendering. Supports up to 6 image variants per call, negative prompts, seed control, and optional prompt rewriting.

Strengths
  • Text-to-image generation
  • Creative control
Use cases
Marketing assetsProduct mockupsConcept art
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

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Qwen3.8 Max vs Qwen Image 3.0 Pro
alibaba/qwen3.8-max · alibaba/qwen-image-3.0-pro
DeepSeek V4 Pro vs Qwen Image 3.0 Pro
deepseek/deepseek-v4-pro · alibaba/qwen-image-3.0-pro
Kimi K3 vs Qwen Image 3.0 Pro
moonshot/kimi-k3 · alibaba/qwen-image-3.0-pro
GPT-5.6 Sol vs Qwen Image 3.0 Pro
openai/gpt-5.6-sol · alibaba/qwen-image-3.0-pro
Claude Fable 5 vs Qwen Image 3.0 Pro
anthropic/claude-fable-5 · alibaba/qwen-image-3.0-pro
Gemini 3.6 Flash vs Qwen Image 3.0 Pro
google/gemini-3.6-flash · alibaba/qwen-image-3.0-pro
GLM-5.2 vs Qwen Image 3.0 Pro
zai-org/glm-5.2 · alibaba/qwen-image-3.0-pro
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 Image 3.0 Pro
client.chat.completions.create(
    model="alibaba/qwen-image-3.0-pro",
    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 →