Compare

O3 vs Glm-5.3

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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O3
openai/o3
Glm-5.3
zai-org/glm-5.3
Provider
OpenAI
Zai-org
Family
o-series
Modality
text
text
Context window
200,000 tok
1,310,720 tok
Max output
100,000 tok
131,072 tok
Released
2026-05-22
2026-08-14
License
Open-weight
Open-weight
Input price
$2.00 /1M
$1.40 /1M
Output price
$8.00 /1M
$4.40 /1M
Tools
yes
Streaming
yes
yes
Vision
JSON mode
yes
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
O3
openai/o3
Full spec →

o3 is OpenAI’s general-purpose reasoning model, balancing strong analytical performance with reasonable latency and cost.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
Glm-5.3
zai-org/glm-5.3
Full spec →

GLM-5.3 is Z.ai's flagship agentic coding model, pairing a 1M-token context window with reasoning, function calling, and structured outputs to power multi-step, tool-driven development workflows.

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

Compare with another

Claude Fable 5.1 vs Glm-5.3
anthropic/claude-fable-5.1 · zai-org/glm-5.3
Claude Fable 5.1 vs O3
anthropic/claude-fable-5.1 · openai/o3
Gemini 3.8 Flash vs Glm-5.3
google/gemini-3.8-flash · zai-org/glm-5.3
Gemini 3.8 Flash vs O3
google/gemini-3.8-flash · openai/o3
Claude Opus 5 vs Glm-5.3
anthropic/claude-opus-5 · zai-org/glm-5.3
Claude Opus 5 vs O3
anthropic/claude-opus-5 · openai/o3
Grok 4.6 vs Glm-5.3
xai/grok-4.6 · zai-org/glm-5.3
Grok 4.6 vs O3
xai/grok-4.6 · openai/o3
Glm-5.3 vs Kimi K3
zai-org/glm-5.3 · moonshot/kimi-k3
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-...",
)

# O3
client.chat.completions.create(
    model="openai/o3",
    messages=[{"role":"user","content":"hello"}],
)

# Glm-5.3
client.chat.completions.create(
    model="zai-org/glm-5.3",
    messages=[{"role":"user","content":"hello"}],
)
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