Compare

Qwen-Image-2.1-Pro vs O3

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-2.1-Pro
alibaba/qwen-image-2.1-pro
O3
openai/o3
Provider
Alibaba
OpenAI
Family
o-series
Modality
image
text
Context window
—
200,000 tok
Max output
—
100,000 tok
Released
2026-10-10
2026-05-22
License
Open-weight
Open-weight
Input price
—
$2.00 /1M
Output price
—
$8.00 /1M
Per image
$0.040 /img
—
Tools
—
—
Streaming
—
yes
Vision
—
—
JSON mode
—
—
Reasoning
—
—
Prompt caching
—
—
Batch API
—
—
Try it
View model →
Open in playground →
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
O3
openai/o3
Full spec →

o3 is OpenAI’s general-purpose reasoning model, balancing strong analytical performance with reasonable latency and cost.

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

Compare with another

Claude Sonnet 5.5 vs Qwen-Image-2.1-Pro
anthropic/claude-sonnet-5.5 · alibaba/qwen-image-2.1-pro
Claude Sonnet 5.5 vs O3
anthropic/claude-sonnet-5.5 · openai/o3
GPT-6.1 Sol vs Qwen-Image-2.1-Pro
openai/gpt-6.1-sol · alibaba/qwen-image-2.1-pro
GPT-6.1 Sol vs O3
openai/gpt-6.1-sol · openai/o3
Claude Opus 5.5 vs Qwen-Image-2.1-Pro
anthropic/claude-opus-5.5 · alibaba/qwen-image-2.1-pro
Claude Opus 5.5 vs O3
anthropic/claude-opus-5.5 · openai/o3
Grok 4.7 vs Qwen-Image-2.1-Pro
xai/grok-4.7 · alibaba/qwen-image-2.1-pro
Grok 4.7 vs O3
xai/grok-4.7 · openai/o3
Glm-5.3 vs Qwen-Image-2.1-Pro
zai-org/glm-5.3 · alibaba/qwen-image-2.1-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-2.1-Pro
client.chat.completions.create(
    model="alibaba/qwen-image-2.1-pro",
    messages=[{"role":"user","content":"hello"}],
)

# O3
client.chat.completions.create(
    model="openai/o3",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →