Compare

Qwen3.8-27b vs Qwq-32b

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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Qwen3.8-27b
qwen/qwen3.8-27b
Qwq-32b
qwen/qwq-32b
Provider
Alibaba Qwen
Alibaba Qwen
Family
Qwen
Qwen
Modality
text
reasoning
Context window
262,144 tok
24,000 tok
Max output
32,768 tok
24,000 tok
Released
2026-08-17
2025-03-05
License
Open-weight
Open-weight
Input price
$0.450 /1M
$0.200 /1M
Output price
$3.20 /1M
$0.400 /1M
Tools
yes
—
Streaming
yes
yes
Vision
yes
—
JSON mode
yes
yes
Reasoning
yes
yes
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
Open in playground →
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
Qwq-32b
qwen/qwq-32b
Full spec →

QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.

Strengths
  • Strong reasoning at 32B scale
  • Open-weight
  • Fast
Use cases
MathCode reviewPlanning

Compare with another

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Claude Opus 5.5 vs Qwen3.8-27b
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Grok 4.7 vs Qwen3.8-27b
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Glm-5.3 vs Qwen3.8-27b
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Kimi K3 vs Qwen3.8-27b
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Qwen3.8-Max vs Qwen3.8-27b
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GPT-5.6 Sol vs Qwen3.8-27b
openai/gpt-5.6-sol · qwen/qwen3.8-27b
Qwen-Image-2.1-Pro vs Qwen3.8-27b
alibaba/qwen-image-2.1-pro · 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"}],
)

# Qwq-32b
client.chat.completions.create(
    model="qwen/qwq-32b",
    messages=[{"role":"user","content":"hello"}],
)
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