Compare

Qwen3.8-27b 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.

Search2/4
Qwen3.8-27b
qwen/qwen3.8-27b
Qwen-Image-2.1-Pro
alibaba/qwen-image-2.1-pro
Provider
Alibaba Qwen
Alibaba
Family
Qwen
Modality
text
image
Context window
262,144 tok
—
Max output
32,768 tok
—
Released
2026-08-17
2026-10-10
License
Open-weight
Open-weight
Input price
$0.450 /1M
—
Output price
$3.20 /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 →
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
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

Gemini 4 Argon vs Qwen3.8-27b
google/gemini-4-argon · qwen/qwen3.8-27b
Gemini 4 Argon vs Qwen-Image-2.1-Pro
google/gemini-4-argon · alibaba/qwen-image-2.1-pro
Claude Sonnet 5.5 vs Qwen3.8-27b
anthropic/claude-sonnet-5.5 · qwen/qwen3.8-27b
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 Qwen3.8-27b
openai/gpt-6.1-sol · qwen/qwen3.8-27b
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 Qwen3.8-27b
anthropic/claude-opus-5.5 · qwen/qwen3.8-27b
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 Qwen3.8-27b
xai/grok-4.7 · 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-...",
)

# Qwen3.8-27b
client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    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 →