# GLM-5

GLM-5 is an AI model released by Z.ai on Feb 11 2026. It has 744B parameters, a 200k context window and open weight. Tracked results include 28% on BullshitBench v2, 86% on GPQA Diamond and 77.8% on SWE-Bench Verified.

## Facts

| Field | Value |
| --- | --- |
| Model | GLM-5 |
| Developer | Z.ai |
| Release date | Wednesday, Feb 11 2026 |
| Licensing | Open Weight |
| Parameters | 744B |
| Context window | 200k |

## API pricing

All rates in USD per 1,000,000 tokens, pay-as-you-go.

| Tier | Input | Cached input | Output |
| --- | --- | --- | --- |
| Standard | $1.00 | $0.20 | $3.20 |

Verified October 19, 2026 against the first-party source: https://docs.z.ai/guides/overview/pricing

## Tracked benchmark scores

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| BullshitBench v2 | 28% | [BullshitBench](https://github.com/petergpt/bullshit-benchmark) | Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. |
| SWE-Bench Verified | 77.8% | Lab | Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. |
| SWE-Bench Multilingual | 73.3% | Lab | Like SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. |
| Terminal-Bench 2.0 | 56.2% | Lab | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. |
| BrowseComp | 75.9% | Lab | Can the AI browse the web and track down hard-to-find answers? Higher is better. |
| Humanity's Last Exam (with tools) | 50.4% | Lab | Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. |
| GPQA Diamond | 86% | Lab | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. |

## About GLM-5

GLM-5 was introduced in February 2026 as a mixture-of-experts model with 744 billion total parameters and about 40 billion active per token. Z.ai expanded pretraining and incorporated DeepSeek Sparse Attention to improve long-context efficiency. The release focused on coding and agentic engineering.

Z.ai described an asynchronous reinforcement-learning system called slime as part of its training infrastructure and released the weights under the MIT License. The model card reported separate results for different tool and context-management setups. In particular, context-managed browsing results should be distinguished from ordinary BrowseComp evaluations when comparing agent systems.

## Questions and answers

### When was GLM-5 released?

GLM-5 was released by Z.ai on Wednesday, Feb 11 2026.

### Who made GLM-5?

GLM-5 was built by Z.ai. Chinese AI lab spun out of Tsinghua University (formerly Zhipu AI), building the open-weight GLM family. Rebranded internationally as Z.ai in 2025.

### How much does GLM-5 cost?

GLM-5 costs $1.00 per million input tokens and $3.20 per million output tokens through the Z.ai API. Cached input is $0.20 per million tokens. Rates are pay-as-you-go API prices verified against Z.ai's published pricing on October 19, 2026.

### What benchmark scores did GLM-5 get?

GLM-5 reports 7 tracked benchmark scores — BullshitBench v2: 28%; SWE-Bench Verified: 77.8%; SWE-Bench Multilingual: 73.3%; Terminal-Bench 2.0: 56.2%; BrowseComp: 75.9%; Humanity's Last Exam (with tools): 50.4%; GPQA Diamond: 86%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data.

### What is the context window of GLM-5?

GLM-5 has a context window of 200k. Providers may specify separate input and output token limits.

### How many parameters does GLM-5 have?

GLM-5 is reported at 744B parameters.

### Is GLM-5 open source?

Partly. GLM-5 is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

### What came before and after GLM-5?

Z.ai's previous tracked release was GLM-4.7 on Dec 22 2025, 51 days earlier. It was followed by GLM-5.1 on Apr 7 2026.


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Canonical page: https://aireleasetracker.com/model/zai/glm-5
Site index: https://aireleasetracker.com/llms.txt
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.