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

Qwen3-Embedding-0.6b vs Qwen3.8-27b
qwen/qwen3-embedding-0.6b · qwen/qwen3.8-27b
Qwen3-Embedding-0.6b vs Qwq-32b
qwen/qwen3-embedding-0.6b · qwen/qwq-32b
Deepseek-R1-Distill-Qwen-32b vs Qwen3.8-27b
deepseek/deepseek-r1-distill-qwen-32b · qwen/qwen3.8-27b
Deepseek-R1-Distill-Qwen-32b vs Qwq-32b
deepseek/deepseek-r1-distill-qwen-32b · qwen/qwq-32b
Qwen2.5-Coder-32b-Instruct vs Qwen3.8-27b
qwen/qwen2.5-coder-32b-instruct · qwen/qwen3.8-27b
Qwen2.5-Coder-32b-Instruct vs Qwq-32b
qwen/qwen2.5-coder-32b-instruct · qwen/qwq-32b
Qwen3-30b-A3b-Fp8 vs Qwen3.8-27b
qwen/qwen3-30b-a3b-fp8 · qwen/qwen3.8-27b
Qwen3-30b-A3b-Fp8 vs Qwq-32b
qwen/qwen3-30b-a3b-fp8 · qwen/qwq-32b
Qwen 3 Max vs Qwen3.8-27b
alibaba/qwen3-max · 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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