Compare

Gemini 2.5 Pro vs GLM-5.2

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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Gemini 2.5 Pro
google/gemini-2.5-pro
GLM-5.2
zai-org/glm-5.2
Provider
Google
Zai-org
Family
Modality
text
text
Context window
1,000,000 tok
262,144 tok
Max output
65,536 tok
131,072 tok
Released
2026-05-22
2026-07-01
License
Proprietary
Open-weight
Input price
$1.25 /1M
$1.40 /1M
Output price
$10.00 /1M
$4.40 /1M
Tools
yes
Streaming
yes
yes
Vision
yes
JSON mode
yes
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Gemini 2.5 Pro
google/gemini-2.5-pro
Full spec →

Google's most capable Gemini 2.5 model with strong reasoning, thinking support, and a 1M token context window.

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

Compare with another

Grok 4.6 vs GLM-5.2
xai/grok-4.6 · zai-org/glm-5.2
Grok 4.6 vs Gemini 2.5 Pro
xai/grok-4.6 · google/gemini-2.5-pro
Claude Opus 5 vs GLM-5.2
anthropic/claude-opus-5 · zai-org/glm-5.2
Claude Opus 5 vs Gemini 2.5 Pro
anthropic/claude-opus-5 · google/gemini-2.5-pro
Qwen3.8 Max vs GLM-5.2
alibaba/qwen3.8-max · zai-org/glm-5.2
Qwen3.8 Max vs Gemini 2.5 Pro
alibaba/qwen3.8-max · google/gemini-2.5-pro
DeepSeek V4 Pro vs GLM-5.2
deepseek/deepseek-v4-pro · zai-org/glm-5.2
DeepSeek V4 Pro vs Gemini 2.5 Pro
deepseek/deepseek-v4-pro · google/gemini-2.5-pro
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-...",
)

# Gemini 2.5 Pro
client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=[{"role":"user","content":"hello"}],
)

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