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Model details

GLM-5.1

GLM-5.1 is positioned as a next-generation flagship model built specifically for agentic engineering workflows, with its developers claiming significantly stronger coding capabilities than its predecessor and reported state-of-the-art performance on SWE-Bench Pro, where it leads the earlier GLM-5 by a wide margin. The model is published with open weights under the MIT license, making it accessible for self-hosted deployments and third-party inference platforms. Its large scale supports extended reasoning across complex, multi-step software engineering tasks rather than short, single-turn interactions.

According to the Ollama library listing, GLM-5.1 carries 756 billion parameters and operates within a 198K-token context window, giving it substantial room to ingest large codebases, documentation, and multi-file projects in a single pass. The model is tagged with "thinking" capability and exposes "tool calls" support, indicating it is designed to participate in agent loops that require planning, reflection, and invocation of external functions. These characteristics make GLM-5.1 a practical fit for developers building autonomous coding agents, repository-level refactoring tools, and AI-assisted debugging pipelines where deep contextual understanding and structured reasoning across long inputs matter most.

DigitalOceanglm-5.1glm

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Provider
DigitalOcean
Model key
glm-5.1
Release date
Apr 7, 2026
Last updated
Apr 7, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.30
Output token cost
$4.30

Limits

Output tokens
163,840 tokens
Context window
163,840 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GLM-5.1

DigitalOcean

CoverageBenchmark

GLM-5.1 is an open-weight mixture-of-experts coding model from Z.ai (formerly Zhipu AI), released on April 7, 2026 under the MIT license, and serving it via DigitalOcean's Gradient AI Platform exposes that same model to developers. The architecture is a 744B-total-parameter MoE with 40B active per token, a 200K-token c At launch GLM-5.1 took the top SWE-bench Pro score of 58.4, ahead of GPT-5.4 (57.7) and Claude Opus 4.6 (57.3), and scored 63.5 on Terminal-Bench 2.0; Z.ai reports it sustains autonomous execution for up to 8 hours across hundreds of tool-call rounds. Z.ai list pricing is $1.40/M input and $4.40/M output, with third-pa

DigitalOcean

CoverageRelease Notes

Z.ai's official release notes index explicitly lists GLM-5.1 (dated 2026-04-07) as part of the GLM-5.x family. The entry describes GLM-5.1 as designed for long-horizon tasks, capable of running independently for up to 8 hours in a single run, covering planning, execution, iterative refinement, and final delivery. It hi The same release notes index places GLM-5.1 in context with later family members (GLM-5.2 on 2026-06-16 adding 1M lossless context, GLM-5.3 on 2026-08-18 with stronger coding and cybersecurity capabilities, and GLM-5.3-Flash on 2026-08-26 with native visual capabilities and a 320B/18B hybrid architecture). For develope

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