Compare

Glm-5.3 vs Qwen3.8-27b

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-5.3
zai-org/glm-5.3
Qwen3.8-27b
qwen/qwen3.8-27b
Provider
Zai-org
Alibaba Qwen
Family
Qwen
Modality
text
text
Context window
1,048,576 tok
262,144 tok
Max output
131,072 tok
32,768 tok
Released
2026-08-14
2026-08-17
License
Open-weight
Open-weight
Input price
$1.40 /1M
$0.450 /1M
Output price
$4.40 /1M
$3.20 /1M
Tools
yes
yes
Streaming
yes
yes
Vision
—
yes
JSON mode
yes
yes
Reasoning
yes
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
Qwen3.8-27b
qwen/qwen3.8-27b
Full spec →

Qwen 3.8 27B is a 27-billion-parameter instruction-tuned language model from Alibaba's Qwen family, designed for vision, efficient general-purpose text generation and agentic workloads.

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 Qwen3.8-27b
anthropic/claude-sonnet-5.5 · qwen/qwen3.8-27b
GPT-6.1 Sol vs Glm-5.3
openai/gpt-6.1-sol · zai-org/glm-5.3
GPT-6.1 Sol vs Qwen3.8-27b
openai/gpt-6.1-sol · qwen/qwen3.8-27b
Claude Opus 5.5 vs Glm-5.3
anthropic/claude-opus-5.5 · zai-org/glm-5.3
Claude Opus 5.5 vs Qwen3.8-27b
anthropic/claude-opus-5.5 · qwen/qwen3.8-27b
Grok 4.7 vs Glm-5.3
xai/grok-4.7 · zai-org/glm-5.3
Grok 4.7 vs Qwen3.8-27b
xai/grok-4.7 · qwen/qwen3.8-27b
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"}],
)

# Qwen3.8-27b
client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →