Zhipu AI model product
GLM 4.6
6 is an LLM from Zhipu AI with a 200K-token context window, improved coding and writing, reasoning with tool use during inference, and stronger agent capabilities.
Updated Sep 8, 2026. Default version: GLM-4.6
LLMBoard Score52.8GLM-4.6
Coverage20%7 benchmark families
Context window131.1KTokens
Official input price$0.60Zhipu AI API
GLM 4.6 Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
GLM 4.6 Benchmark Results
Benchmark scores for GLM-4.6.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkTerminal-Bench | Score40.50% | Rank08 | Participants25 | Percentile70.83% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score82.80% | Rank18 | Participants62 | Percentile72.13% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score93.90% | Rank28 | Participants119 | Percentile77.12% | EvidenceC | Evaluated |
| BenchmarkLM Arena Text | Score1,440.43 rating | Rank48 | Participants210 | Percentile77.51% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Factuality | Score1,447.13 rating | Rank49 | Participants121 | Percentile60.00% | EvidenceA | Evaluated |
| BenchmarkBrowseComp | Score45.10% | Rank51 | Participants63 | Percentile19.35% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score68.00% | Rank72 | Participants113 | Percentile36.61% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score17.20% | Rank75 | Participants103 | Percentile27.45% | EvidenceC | Evaluated |
| BenchmarkLM Arena Webdev | Score1,340.46 rating | Rank77 | Participants97 | Percentile20.83% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,424.84 rating | Rank85 | Participants210 | Percentile59.81% | EvidenceA | Evaluated |
| BenchmarkGPQA | Score81.00% | Rank90 | Participants247 | Percentile63.82% | EvidenceC | Evaluated |
GLM 4.6 Arena Results
Preference and agent-evaluation results for the default version.
Sort by
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext factuality | Categoryindustry medicine and healthcare | Rank14 | Rating / score1,495.46 | Votes852 | ObservationsN/A | Result date |
| Arenatext factuality | Categorychinese | Rank16 | Rating / score1,514.58 | Votes1,082 | ObservationsN/A | Result date |
| Arenatext factuality | Categorypolish | Rank30 | Rating / score1,415.08 | Votes638 | ObservationsN/A | Result date |
| Arenatext | Categorypolish | Rank31 | Rating / score1,448.71 | Votes1,278 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry legal and government | Rank33 | Rating / score1,468.18 | Votes1,055 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank36 | Rating / score1,499.72 | Votes2,591 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry mathematical | Rank38 | Rating / score1,447.42 | Votes806 | ObservationsN/A | Result date |
| Arenatext | Categorykorean | Rank40 | Rating / score1,400.48 | Votes599 | ObservationsN/A | Result date |
| Arenatext | Categoryfrench | Rank41 | Rating / score1,461.34 | Votes694 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank41 | Rating / score1,445.32 | Votes677 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry medicine and healthcare | Rank43 | Rating / score1,456.31 | Votes1,872 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry life and physical and social science | Rank45 | Rating / score1,456.85 | Votes5,814 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryenglish | Rank47 | Rating / score1,459.86 | Votes10,250 | ObservationsN/A | Result date |
| Arenatext factuality | Categorymath | Rank47 | Rating / score1,439.19 | Votes906 | ObservationsN/A | Result date |
| Arenatext | Categoryexclude ties | Rank48 | Rating / score1,437.61 | Votes24,590 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank48 | Rating / score1,440.43 | Votes35,068 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry life and physical and social science | Rank48 | Rating / score1,467.33 | Votes2,674 | ObservationsN/A | Result date |
| Arenatext | Categorycreative writing | Rank49 | Rating / score1,411.55 | Votes5,014 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryexclude ties | Rank49 | Rating / score1,448.30 | Votes19,392 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryoverall | Rank49 | Rating / score1,447.13 | Votes28,067 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry legal and government | Rank50 | Rating / score1,447.62 | Votes2,375 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry mathematical | Rank50 | Rating / score1,448.90 | Votes1,677 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry entertainment and sports and media | Rank51 | Rating / score1,407.66 | Votes6,515 | ObservationsN/A | Result date |
| Arenatext | Categorynon english | Rank51 | Rating / score1,426.70 | Votes20,022 | ObservationsN/A | Result date |
| Arenatext | Categoryenglish | Rank52 | Rating / score1,448.77 | Votes15,009 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycreative writing | Rank53 | Rating / score1,415.48 | Votes2,319 | ObservationsN/A | Result date |
| Arenatext factuality | Categorynon english | Rank55 | Rating / score1,431.74 | Votes15,620 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry writing and literature and language | Rank56 | Rating / score1,414.79 | Votes7,878 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank56 | Rating / score1,434.44 | Votes1,004 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank57 | Rating / score1,393.27 | Votes353 | ObservationsN/A | Result date |
GLM 4.6 Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- $0.60 input, $2.2 output per 1M
- Official provider
- Zhipu AI
- Lowest third-party
- From $0.286 input, $1.14 output per 1M via 302.AI
- Tracked offerings
- 26
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProvideriFlow | Provider model IDglm-4.6 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context200K | Updated |
| ProviderModelScope | Provider model IDZhipuAI/GLM-4.6 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context202.8K | Updated |
| Provider302.AI | Provider model IDglm-4.6 | Regionglobal | Input / 1M$0.286 | Output / 1M$1.14 | Context204.8K | Updated |
| ProviderNanoGPT | Provider model IDz-ai/glm-4.6 | Regionglobal | Input / 1M$0.35 | Output / 1M$1.4 | Context200K | Updated |
| ProviderZenMux | Provider model IDz-ai/glm-4.6 | Regionglobal | Input / 1M$0.35 | Output / 1M$1.54 | Context200K | Updated |
| ProviderIO.NET | Provider model IDzai-org/GLM-4.6 | Regionglobal | Input / 1M$0.40 | Output / 1M$1.75 | Context200K | Updated |
| ProviderOfox | Provider model IDz-ai/glm-4.6 | Regionglobal | Input / 1M$0.40 | Output / 1M$1.9 | Context204.8K | Updated |
| ProviderVenice AI | Provider model IDzai-org-glm-4.6 | Regionglobal | Input / 1M$0.43 | Output / 1M$1.75 | Context198K | Updated |
| ProviderMeganova | Provider model IDzai-org/GLM-4.6 | Regionglobal | Input / 1M$0.45 | Output / 1M$1.9 | Context202.8K | Updated |
| ProviderHelicone | Provider model IDglm-4.6 | Regionglobal | Input / 1M$0.45 | Output / 1M$1.5 | Context204.8K | Updated |
| ProviderDeep Infra | Provider model IDzai-org/GLM-4.6 | Regionglobal | Input / 1M$0.50 | Output / 1M$2 | Context202.8K | Updated |
| ProviderHugging Face | Provider model IDzai-org/GLM-4.6 | Regionglobal | Input / 1M$0.55 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderOpenRouter | Provider model IDz-ai/glm-4.6 | Regionglobal | Input / 1M$0.55 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderNovitaAI | Provider model IDzai-org/glm-4.6 | Regionglobal | Input / 1M$0.55 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDglm-4.6 | Regionglobal | Input / 1M$0.55 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderKilo Gateway | Provider model IDz-ai/glm-4.6 | Regionglobal | Input / 1M$0.55 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderOrcaRouter | Provider model IDz-ai/glm-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderImpossibl | Provider model IDzai/glm-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderZ.AI | Provider model IDglm-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderMerge Gateway | Provider model IDzai/glm-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context200K | Updated |
| ProviderZhipu AI | Provider model IDglm-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderOpenCode Zen | Provider model IDglm-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context204.8K | Updated |
| ProviderVercel AI Gateway | Provider model IDzai/glm-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context200K | Updated |
| ProviderEden AI | Provider model IDzai/glm-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context202.8K | Updated |
| ProviderAbacus | Provider model IDzai-org/GLM-4.6 | Regionglobal | Input / 1M$0.60 | Output / 1M$2.2 | Context202.8K | Updated |
GLM 4.6 Runtime Performance
Provider-specific output speed and catalog latency for GLM-4.6. Runtime does not affect the capability score.
Sort by
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderDeepInfra | Output Speed85.00 tok/s | Catalog Latency0.70 s | Max Input131.1K | Max Output65.5K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
GLM 4.6 Specifications
Technical details for the model's default version.
- Version
- GLM-4.6
- Released
- Sep 30, 2025
- Knowledge cutoff
- Unknown
- Parameters
- 357B
- Context window
- 131.1K
- Max output
- 131.1K
- Inputs
- image, text, video
- Outputs
- text
- Open weights
- No
- License
- MIT
GLM 4.6 Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionGLM-4.6 | Released | LLMBoard52.79 | Parameters357B | Context131.1K | Max output131.1K | Open weightsNo | LicenseMIT |
Models similar to GLM 4.6
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
ZA
GLM 5V Turbo
Zhipu AI
ZA
GLM 4.5
Zhipu AI
ZA
GLM 4.7
Zhipu AI
ZA
GLM 4.5 Air
Zhipu AI
ZA
GLM 5
Zhipu AI
ZA
GLM 5.1
Zhipu AI
What is GLM 4.6?
Key information about GLM 4.6 and its available data.
5 across coding, reasoning, agent capabilities, and writing. 6% win rate.
Data as of 2026-09-08.
FAQ
Common questions about GLM 4.6.
When was GLM 4.6 released?
GLM 4.6's default version was released on Sep 30, 2025.
How much does GLM 4.6 cost?
GLM 4.6's official API price is $0.60 per million input tokens and $2.2 per million output tokens via Zhipu AI. The lowest tracked third-party offer starts at $0.286 input and $1.14 output via 302.AI.
Who created GLM 4.6?
GLM 4.6 was created by Zhipu AI.
What is the context window for GLM 4.6?
The default version has a 131.1K token context window.
Is GLM 4.6 open weight?
No. The default version is not marked as having publicly available weights.
How many API providers offer GLM 4.6?
26 provider offerings are linked to the default version.