Compare

Qwen3.8-27b vs Qwen3.7 Max

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
Qwen3.7 Max
alibaba/qwen3.7-max
Provider
Alibaba Qwen
Alibaba
Family
Qwen
Qwen
Modality
text
text
Context window
262,144 tok
1,000,000 tok
Max output
32,768 tok
4,096 tok
Released
2026-08-17
2026-08-11
License
Open-weight
Open-weight
Input price
$0.450 /1M
$2.50 /1M
Output price
$3.20 /1M
$7.50 /1M
Tools
yes
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
Qwen3.7 Max
alibaba/qwen3.7-max
Full spec →

Alibaba's Qwen 3.7 Max is the largest and most capable model in the Qwen3.7 series, a next-generation flagship built for the agent-centric era with deep strengths in programming, office and productivity tasks, and long-term autonomous execution, served via DashScope's OpenAI-compatible endpoint.

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

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google/gemini-3.8-flash · qwen/qwen3.8-27b
Claude Opus 5 vs Qwen3.8-27b
anthropic/claude-opus-5 · qwen/qwen3.8-27b
Grok 4.6 vs Qwen3.8-27b
xai/grok-4.6 · qwen/qwen3.8-27b
Glm-5.3 vs Qwen3.8-27b
zai-org/glm-5.3 · qwen/qwen3.8-27b
Kimi K3 vs Qwen3.8-27b
moonshot/kimi-k3 · qwen/qwen3.8-27b
Qwen3.8 Max vs Qwen3.8-27b
alibaba/qwen3.8-max · qwen/qwen3.8-27b
Qwen3.8-27b vs GPT-5.6 Sol
qwen/qwen3.8-27b · openai/gpt-5.6-sol
Qwen3.8-27b vs Gemini 3.1 Pro
qwen/qwen3.8-27b · google/gemini-3.1-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-...",
)

# Qwen3.8-27b
client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen3.7 Max
client.chat.completions.create(
    model="alibaba/qwen3.7-max",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →