Zhipu AI model product
5 designed for efficient Agentic, Reasoning, and Coding (ARC) applications.
Updated Aug 17, 2026. Default version: GLM-4.5-Air
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for GLM-4.5-Air.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAA-Index | Score64.8% | Rank02 | Participants4 | Percentile66.7% | EvidenceC | Evaluated |
| BenchmarkBFCL-v3 | Score76.4% | Rank02 | Participants19 | Percentile94.4% | EvidenceC | Evaluated |
| BenchmarkTAU-bench Airline | Score60.8% | Rank03 | Participants23 | Percentile90.9% | EvidenceC | Evaluated |
| BenchmarkMATH-500 | Score98.1% | Rank04 | Participants32 | Percentile90.3% | EvidenceC | Evaluated |
| BenchmarkTAU-bench Retail | Score77.9% | Rank07 | Participants25 | Percentile75.0% | EvidenceC | Evaluated |
| BenchmarkAIME 2024 | Score89.4% | Rank10 | Participants53 | Percentile82.7% | EvidenceC | Evaluated |
| BenchmarkSciCode | Score37.3% | Rank18 | Participants21 | Percentile15.0% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench | Score30.0% | Rank20 | Participants25 | Percentile20.8% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score70.7% | Rank23 | Participants75 | Percentile70.3% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score81.4% | Rank47 | Participants134 | Percentile65.4% | EvidenceC | Evaluated |
| BenchmarkBrowseComp | Score21.3% | Rank61 | Participants62 | Percentile1.6% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score57.6% | Rank87 | Participants111 | Percentile21.8% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score10.6% | Rank88 | Participants99 | Percentile11.2% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score75.0% | Rank112 | Participants239 | Percentile53.4% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext factuality | Categoryoverall | Rank135 | Rating / score1395.8 | Votes7,231 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank146 | Rating / score1382.8 | Votes31,204 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank172 | Rating / score1372.8 | Votes31,204 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| Providersubmodel | Provider model IDzai-org/GLM-4.5-Air | Regionglobal | Input / 1M$0.10 | Output / 1M$0.50 | Context131.1K | Updated |
| ProviderZenMux | Provider model IDz-ai/glm-4.5-air | Regionglobal | Input / 1M$0.11 | Output / 1M$0.56 | Context128K | Updated |
| Provider302.AI | Provider model IDglm-4.5-air | Regionglobal | Input / 1M$0.1143 | Output / 1M$0.286 | Context131.1K | Updated |
| ProviderNanoGPT | Provider model IDzai-org/GLM-4.5-Air | Regionglobal | Input / 1M$0.12 | Output / 1M$0.80 | Context128K | Updated |
| ProviderHugging Face | Provider model IDzai-org/GLM-4.5-Air | Regionglobal | Input / 1M$0.13 | Output / 1M$0.85 | Context131.1K | Updated |
| ProviderOpenRouter | Provider model IDz-ai/glm-4.5-air | Regionglobal | Input / 1M$0.13 | Output / 1M$0.85 | Context131.1K | Updated |
| ProviderNovitaAI | Provider model IDzai-org/glm-4.5-air | Regionglobal | Input / 1M$0.13 | Output / 1M$0.85 | Context131.1K | Updated |
| ProviderLLM Gateway | Provider model IDglm-4.5-air | Regionglobal | Input / 1M$0.13 | Output / 1M$0.85 | Context131K | Updated |
| ProviderKilo Gateway | Provider model IDz-ai/glm-4.5-air | Regionglobal | Input / 1M$0.13 | Output / 1M$0.85 | Context131.1K | Updated |
| ProviderOrcaRouter | Provider model IDz-ai/glm-4.5-air | Regionglobal | Input / 1M$0.20 | Output / 1M$1.1 | Context131.1K | Updated |
| ProviderImpossibl | Provider model IDzai/glm-4.5-air | Regionglobal | Input / 1M$0.20 | Output / 1M$1.1 | Context131.1K | Updated |
| ProviderZ.AI | Provider model IDglm-4.5-air | Regionglobal | Input / 1M$0.20 | Output / 1M$1.1 | Context131.1K | Updated |
| ProviderMerge Gateway | Provider model IDzai/glm-4.5-air | Regionglobal | Input / 1M$0.20 | Output / 1M$1.1 | Context128K | Updated |
| ProviderZhipu AI | Provider model IDglm-4.5-air | Regionglobal | Input / 1M$0.20 | Output / 1M$1.1 | Context131.1K | Updated |
| ProviderVercel AI Gateway | Provider model IDzai/glm-4.5-air | Regionglobal | Input / 1M$0.20 | Output / 1M$1.1 | Context128K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for GLM-4.5-Air. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionGLM-4.5-Air | Released | LLMBoard41.5 | Parameters106B | Context131.1K | Max output98.3K | Open weightsYes | LicenseMIT |
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about GLM 4.5 Air and its available data.
5 designed for efficient Agentic, Reasoning, and Coding (ARC) applications. It features 106 billion total parameters with 12 billion active parameters using MoE architecture. 5, it is a hybrid reasoning model providing thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses.
8 across 12 industry-standard benchmarks, ranking 6th overall while maintaining superior efficiency. It supports 128K context length and is released under MIT open-source license allowing commercial use.
Data as of 2026-08-17.
Common questions about GLM 4.5 Air.
GLM 4.5 Air's default version was released on Jul 28, 2025.
GLM 4.5 Air's official API price is $0.20 per million input tokens and $1.1 per million output tokens via Zhipu AI. The lowest tracked third-party offer starts at $0.10 input and $0.50 output via submodel.
GLM 4.5 Air was created by Zhipu AI.
The default version has a 131.1K token context window.
Yes. The default version is marked as open weight under MIT.
16 provider offerings are linked to the default version.
Nearby ranked alternatives include Qwen3 VL 235B A22B, Nova 2 Lite, Qwen3 235B A22B.