Compare

Gemini 3.8 Flash 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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Gemini 3.8 Flash
google/gemini-3.8-flash
Glm-5.3
zai-org/glm-5.3
Provider
Google
Zai-org
Family
Gemini 3
Modality
text
text
Context window
1,048,576 tok
1,048,576 tok
Max output
65,536 tok
131,072 tok
Released
2026-09-04
2026-08-14
License
Proprietary
Open-weight
Input price
$0.750 /1M
$1.40 /1M
Output price
$3.75 /1M
$4.40 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
yes
—
JSON mode
yes
yes
Reasoning
—
yes
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
Open in playground →
Gemini 3.8 Flash
google/gemini-3.8-flash
Full spec →

Our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows.

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

Gemini 4 Argon vs Glm-5.3
google/gemini-4-argon · zai-org/glm-5.3
Claude Sonnet 5.5 vs Glm-5.3
anthropic/claude-sonnet-5.5 · zai-org/glm-5.3
Claude Opus 5.5 vs Glm-5.3
anthropic/claude-opus-5.5 · zai-org/glm-5.3
GPT-6.1 Sol vs Glm-5.3
openai/gpt-6.1-sol · zai-org/glm-5.3
Grok 4.7 vs Glm-5.3
xai/grok-4.7 · zai-org/glm-5.3
Kimi K3 vs Glm-5.3
moonshot/kimi-k3 · zai-org/glm-5.3
Glm-5.3 vs Qwen3.8-Max
zai-org/glm-5.3 · alibaba/qwen3.8-max
Glm-5.3 vs GPT-5.6 Sol
zai-org/glm-5.3 · openai/gpt-5.6-sol
Glm-5.3 vs Qwen3.8-27b
zai-org/glm-5.3 · qwen/qwen3.8-27b
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 3.8 Flash
client.chat.completions.create(
    model="google/gemini-3.8-flash",
    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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