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Model details
GLM 4.7 Flash
GLM-4.7 Flash is part of Z.AI's GLM-4.7 Series, a generation that the developer documentation highlights as an upgrade in programming capability and in the stability of multi-step reasoning and execution. Within that family, Flash is explicitly positioned as the "Lightweight, High-Speed, and Affordable" tier, designed for teams that want responsive inference without committing to a much larger flagship deployment. Independent third-party reporting further characterizes the model as a 30-billion parameter dense architecture, deliberately stepping away from the mixture-of-experts layout used by the larger GLM-4.7 sibling in order to deliver predictable latency and simpler, more hardware-friendly rollout for everyday coding workloads.
In practical terms, Flash is aimed at agentic coding pipelines rather than general-purpose open-ended chat, and Z.AI markets it as fully compatible with popular developer tools such as Claude Code and Cline. The combination of a generous the cataloged API limit context window with the cataloged API limit maximum output ceiling makes it well suited to multi-file refactors, long repository analysis, and extended tool-calling traces that have to fit inside a single session. Combined with streaming output, function-calling support, and Z.AI's emphasis on more stable multi-step execution, the result is a pragmatic coding workhorse that fits teams who value predictable latency, open-weight flexibility, and tight integration with existing agent frameworks over the absolute top of the benchmark leaderboard.
Quick Info
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- Model key
- zai/glm-4.7-flash
- Release date
- Jan 19, 2026
- Last updated
- Jan 19, 2026
- Knowledge cutoff
- 2025-04
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.07
- Output token cost
- $0.40
Limits
- Output tokens
- 128,000 tokens
- Context window
- 200,000 tokens
Transparent token rates
Compare GLM 4.7 Flash pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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