GLM-5-Turbo
Zhipu AI • llm
Grande modelo de linguagem (llm) desenvolvido pela Zhipu AI — Intelligence Index 47/100 no Artificial Analysis; acesso gratuito.
Specifications
Context Window
203K tokens
Input Price/1M
—
Output Price/1M
—
Parameters
—
Max Output
131K tokens
Benchmarks
GLM-5-Turbo results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 33.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 44.0 | 100.0 | — |
| AA Coding Index | 36.8 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 61.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 46.8 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 85.0 | 100.0 | Artificial Analysis official API |
| IFBench | 73.0 | 100.0 | — |
| HLE | 25.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 99.0 | 100.0 | — |
Information
- Release date
- March 15, 2026
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: GLM-5-Turbo
What is GLM-5-Turbo?
GLM-5-Turbo is an AI model developed by Zhipu AI, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Zhipu AI's cloud API. With a context window of 203K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
GLM-5-Turbo does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Zhipu AI's official website for up-to-date availability and pricing.
Benchmarks & Performance
GLM-5-Turbo was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
GLM-5-Turbo is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, GLM-5-Turbo competes directly with similarly capable models. Zhipu AI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is GLM-5-Turbo?
GLM-5-Turbo is an AI model developed by Zhipu AI. It is a llm model.
How much does GLM-5-Turbo cost?
GLM-5-Turbo does not have public per-token pricing available at this time. Check Zhipu AI's official website for up-to-date information.
How does GLM-5-Turbo compare with other models?
In available benchmarks, GLM-5-Turbo scored: Terminal-Bench Hard: 33/100, SciCode: 44/100, AA Coding Index: 36.8/100. See the full table above for a detailed comparison.
Is GLM-5-Turbo open source?
No, GLM-5-Turbo is a proprietary model from Zhipu AI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is GLM-5-Turbo best for?
GLM-5-Turbo excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →