GLM-5 (Non-reasoning)
Z.ai • llm#97 of 579 in intelligence
Grande modelo de linguagem (llm) desenvolvido pela Zhipu AI — Intelligence Index 41/100 no Artificial Analysis; US$ 1.00/1M tokens de entrada; 81 tokens/s de velocidade.
Specifications
Context Window
205K tokens
Input Price/1M
$1.00
#519 of 714
Output Price/1M
$3.20
Parameters
—
Speed
63 tok/s
#201 of 537
Latency (TTFT)
1.4s
Max Output
131K tokens
Cost per Task
26.2
AA Score / US$ · higher = better
Benchmarks
GLM-5 (Non-reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 39.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 73.6 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Coding Index | 39.0 | 100.0 | Artificial Analysis official API |
| SciCode | 38.0 | 100.0 | — |
Data Analysis
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 67.9 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Language
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 77.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 37.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Math | 83.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Global | 68.8 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 40.6 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Reasoning | 69.1 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| GPQA Diamond | 67.0 | 100.0 | Artificial Analysis official API |
| IFBench | 55.0 | 100.0 | — |
| HLE | 7.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 97.0 | 100.0 | — |
Information
- Release date
- February 11, 2026
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: GLM-5 (Non-reasoning)
What is GLM-5 (Non-reasoning)?
GLM-5 (Non-reasoning) is an AI model developed by Z.ai, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Z.ai's cloud API. With a context window of 205K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
GLM-5 (Non-reasoning) is usage-based, priced at $1/1M input tokens and $3.2/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
GLM-5 (Non-reasoning) was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Data Analysis, Language, Long Context, Math, 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 (Non-reasoning) 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 (Non-reasoning) competes directly with similarly capable models. Z.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 (Non-reasoning)?
GLM-5 (Non-reasoning) is an AI model developed by Z.ai. It is a llm model.
How much does GLM-5 (Non-reasoning) cost?
GLM-5 (Non-reasoning) costs $1/1M input tokens and $3.2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does GLM-5 (Non-reasoning) compare with other models?
In available benchmarks, GLM-5 (Non-reasoning) scored: Terminal-Bench Hard: 39/100, LiveBench Coding: 73.64/100, AA Coding Index: 39/100. See the full table above for a detailed comparison.
Is GLM-5 (Non-reasoning) open source?
No, GLM-5 (Non-reasoning) is a proprietary model from Z.ai. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is GLM-5 (Non-reasoning) best for?
GLM-5 (Non-reasoning) 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: September 01, 2026 • View methodology →