OpenRouter
Catalog quote- Input
- $1.00
- Output
- $3.20
- Cached input
- $0.20
z-aiListed Feb 11, 2026
Z.ai: GLM 5
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
Context window204.8K
Max output131.1K
Provider endpoints14
Benchmark results0
Measured performance
All leaderboards ↗Benchmark results
No published results in this index yet
Scores appear here when an evaluation matches this exact model.
Access & cost
14 quotesPrices across providers
Your token mix
USD · listed token ratesnovita
via Hugging Face- Input
- $1.00
- Output
- $3.20
featherless-ai
via Hugging Face- Input
- —
- Output
- —
zai-org
via Hugging Face- Input
- —
- Output
- —
deepinfra
via Hugging Face- Input
- $0.60
- Output
- $2.08
Experiential
Standard list rate
- Input
- $1.00
- Output
- $3.20
- Cached input
- $0.10
Catalog list rate. Plan allowances and temporary discounts are separate.
- Input
- $0.60
- Output
- $1.92
- Cached input
- $0.12
Source discount 40%; rates as published
- Input
- $0.60
- Output
- $1.92
- Cached input
- $0.12
Source discount 40%; rates as published
- Input
- $0.70
- Output
- $2.24
- Cached input
- $0.14
- Input
- $0.95
- Output
- $2.55
- Cached input
- $0.20
- Input
- $1.00
- Output
- $3.20
- Input
- $1.00
- Output
- $3.20
- Cached input
- $0.20
- Input
- $1.00
- Output
- $3.20
- Cached input
- $0.20
- Input
- $1.00
- Output
- $3.20
- Cached input
- $0.20
Model specifications
- Developer
- z-ai
- Modality
- Language
- Context
- 204,800 tokens
- Maximum output
- 131,072 tokens
- Weights
- Open weights
- Provider listed
- Feb 11, 2026
- First discovered
- Oct 16, 2026
Exact identities
- openrouter
z-ai/glm-5 - huggingface
zai-org/GLM-5 - experiential
glm-5
Sources
Updated Oct 17, 2026
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GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context…
1M contextImage inputVideo inputNo reported score
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$0.05in$0.18out/ 1M tokens · USDSail Research · via OpenRouter · 3 endpointssail-research/fp4 · quantization=fp4