Compare

Qwen Image 2.0 Pro vs Kimi K3

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 2.0 Pro
alibaba/qwen-image-2.0-pro
Kimi K3
moonshot/kimi-k3
Provider
Alibaba
Moonshot
Family
Modality
image
text
Context window
1,048,576 tok
Max output
32,768 tok
Released
2026-09-17
2026-07-16
License
Open-weight
Open-weight
Input price
$3.00 /1M
Output price
$15.00 /1M
Per image
$0.075 /img
Tools
yes
Streaming
yes
Vision
yes
JSON mode
yes
Reasoning
yes
Prompt caching
Batch API
Try it
View model →
Open in playground →
Qwen Image 2.0 Pro
alibaba/qwen-image-2.0-pro
Full spec →
Strengths
  • Text-to-image generation
  • Creative control
Use cases
Marketing assetsProduct mockupsConcept art
Kimi K3
moonshot/kimi-k3
Full spec →

Kimi K3 is Moonshot's flagship 2.8 trillion-parameter model, built on Kimi Delta Attention (a hybrid linear attention mechanism) with Attention Residuals. It offers native visual understanding, always-on reasoning, and a 1M-token context window for long-horizon coding, knowledge work, and deep reasoning tasks.

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

Compare with another

GPT-6 Astra vs Kimi K3
openai/gpt-6-astra · moonshot/kimi-k3
GPT-6 Astra vs Qwen Image 2.0 Pro
openai/gpt-6-astra · alibaba/qwen-image-2.0-pro
Claude Fable 5.1 vs Kimi K3
anthropic/claude-fable-5.1 · moonshot/kimi-k3
Claude Fable 5.1 vs Qwen Image 2.0 Pro
anthropic/claude-fable-5.1 · alibaba/qwen-image-2.0-pro
Gemini 3.8 Flash vs Kimi K3
google/gemini-3.8-flash · moonshot/kimi-k3
Gemini 3.8 Flash vs Qwen Image 2.0 Pro
google/gemini-3.8-flash · alibaba/qwen-image-2.0-pro
Claude Opus 5 vs Kimi K3
anthropic/claude-opus-5 · moonshot/kimi-k3
Claude Opus 5 vs Qwen Image 2.0 Pro
anthropic/claude-opus-5 · alibaba/qwen-image-2.0-pro
Glm-5.3 vs Kimi K3
zai-org/glm-5.3 · moonshot/kimi-k3
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 2.0 Pro
client.chat.completions.create(
    model="alibaba/qwen-image-2.0-pro",
    messages=[{"role":"user","content":"hello"}],
)

# Kimi K3
client.chat.completions.create(
    model="moonshot/kimi-k3",
    messages=[{"role":"user","content":"hello"}],
)
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