Compare

GLM-5.2 vs Qwen3.6 Plus

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
GLM-5.2
zai-org/glm-5.2
Qwen3.6 Plus
alibaba/qwen3.6-plus
Provider
Zai-org
Alibaba
Family
Modality
text
text
Context window
262,144 tok
1,000,000 tok
Max output
131,072 tok
Released
2026-07-01
2026-08-10
License
Open-weight
Open-weight
Input price
$1.40 /1M
$0.500 /1M
Output price
$4.40 /1M
$3.00 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
JSON mode
yes
yes
Reasoning
yes
yes
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
GLM-5.2
zai-org/glm-5.2
Full spec →

Z.ai's flagship agentic coding model

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
Qwen3.6 Plus
alibaba/qwen3.6-plus
Full spec →
Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Grok 4.6 vs GLM-5.2
xai/grok-4.6 · zai-org/glm-5.2
Grok 4.6 vs Qwen3.6 Plus
xai/grok-4.6 · alibaba/qwen3.6-plus
Gemini 3.7 Flash vs GLM-5.2
google/gemini-3.7-flash · zai-org/glm-5.2
Gemini 3.7 Flash vs Qwen3.6 Plus
google/gemini-3.7-flash · alibaba/qwen3.6-plus
Claude Opus 5 vs GLM-5.2
anthropic/claude-opus-5 · zai-org/glm-5.2
Claude Opus 5 vs Qwen3.6 Plus
anthropic/claude-opus-5 · alibaba/qwen3.6-plus
Qwen3.8 Max vs GLM-5.2
alibaba/qwen3.8-max · zai-org/glm-5.2
Qwen3.8 Max vs Qwen3.6 Plus
alibaba/qwen3.8-max · alibaba/qwen3.6-plus
Kimi K3 vs GLM-5.2
moonshot/kimi-k3 · zai-org/glm-5.2
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-...",
)

# GLM-5.2
client.chat.completions.create(
    model="zai-org/glm-5.2",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen3.6 Plus
client.chat.completions.create(
    model="alibaba/qwen3.6-plus",
    messages=[{"role":"user","content":"hello"}],
)
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