Compare

Kimi K3 vs Qwen-Image-2.1-Pro

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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Kimi K3
moonshot/kimi-k3
Qwen-Image-2.1-Pro
alibaba/qwen-image-2.1-pro
Provider
Moonshot
Alibaba
Family
Modality
text
image
Context window
1,048,576 tok
—
Max output
32,768 tok
—
Released
2026-07-16
2026-10-10
License
Open-weight
Open-weight
Input price
$3.00 /1M
—
Output price
$15.00 /1M
—
Per image
—
$0.040 /img
Tools
yes
—
Streaming
yes
—
Vision
yes
—
JSON mode
yes
—
Reasoning
yes
—
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
View model →
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
Qwen-Image-2.1-Pro
alibaba/qwen-image-2.1-pro
Full spec →
Strengths
  • Text-to-image generation
  • Creative control
Use cases
Marketing assetsProduct mockupsConcept art

Compare with another

Claude Sonnet 5.5 vs Kimi K3
anthropic/claude-sonnet-5.5 · moonshot/kimi-k3
Claude Sonnet 5.5 vs Qwen-Image-2.1-Pro
anthropic/claude-sonnet-5.5 · alibaba/qwen-image-2.1-pro
GPT-6.1 Sol vs Kimi K3
openai/gpt-6.1-sol · moonshot/kimi-k3
GPT-6.1 Sol vs Qwen-Image-2.1-Pro
openai/gpt-6.1-sol · alibaba/qwen-image-2.1-pro
Claude Opus 5.5 vs Kimi K3
anthropic/claude-opus-5.5 · moonshot/kimi-k3
Claude Opus 5.5 vs Qwen-Image-2.1-Pro
anthropic/claude-opus-5.5 · alibaba/qwen-image-2.1-pro
Grok 4.7 vs Kimi K3
xai/grok-4.7 · moonshot/kimi-k3
Grok 4.7 vs Qwen-Image-2.1-Pro
xai/grok-4.7 · alibaba/qwen-image-2.1-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-...",
)

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

# Qwen-Image-2.1-Pro
client.chat.completions.create(
    model="alibaba/qwen-image-2.1-pro",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →