Compare

Glm-5.3 vs Gemini 2.5 Flash

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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Glm-5.3
zai-org/glm-5.3
Gemini 2.5 Flash
google/gemini-2.5-flash
Provider
Zai-org
Google
Family
Modality
text
text
Context window
1,048,576 tok
1,000,000 tok
Max output
131,072 tok
8,192 tok
Released
2026-08-14
2026-05-22
License
Open-weight
Proprietary
Input price
$1.40 /1M
$0.300 /1M
Output price
$4.40 /1M
$2.50 /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 →
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
Gemini 2.5 Flash
google/gemini-2.5-flash
Full spec →

Google's fast multimodal Gemini 2.5 model with strong reasoning and a 1M token context window.

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

Compare with another

Claude Sonnet 5.5 vs Glm-5.3
anthropic/claude-sonnet-5.5 · zai-org/glm-5.3
Claude Sonnet 5.5 vs Gemini 2.5 Flash
anthropic/claude-sonnet-5.5 · google/gemini-2.5-flash
GPT-6.1 Sol vs Glm-5.3
openai/gpt-6.1-sol · zai-org/glm-5.3
GPT-6.1 Sol vs Gemini 2.5 Flash
openai/gpt-6.1-sol · google/gemini-2.5-flash
Claude Opus 5.5 vs Glm-5.3
anthropic/claude-opus-5.5 · zai-org/glm-5.3
Claude Opus 5.5 vs Gemini 2.5 Flash
anthropic/claude-opus-5.5 · google/gemini-2.5-flash
Grok 4.7 vs Glm-5.3
xai/grok-4.7 · zai-org/glm-5.3
Grok 4.7 vs Gemini 2.5 Flash
xai/grok-4.7 · google/gemini-2.5-flash
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-...",
)

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

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