Zhipu AI model product
GLM 5.1
1 is a Zhipu AI large language model for coding, reasoning, and agentic engineering tasks.
Updated Oct 23, 2026. Default version: GLM-5.1
LLMBoard Score66.8GLM-5.1
Coverage100%18 benchmark families
Context window202.8KTokens
Official input price$0.8964Zhipu AI API
GLM 5.1 Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
GLM 5.1 Benchmark Results
Benchmark scores for GLM-5.1.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkVending-Bench 2 | Score5,634.41 usd | Rank02 | Participants4 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkTAU3-Bench | Score70.60% | Rank03 | Participants8 | Percentile71.43% | EvidenceC | Evaluated |
| BenchmarkAIME 2026 | Score95.30% | Rank07 | Participants27 | Percentile76.92% | EvidenceC | Evaluated |
| BenchmarkHMMT 2025 | Score94.00% | Rank10 | Participants33 | Percentile71.88% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.0 | Score69.00% | Rank11 | Participants53 | Percentile80.77% | EvidenceC | Evaluated |
| BenchmarkIMO-AnswerBench | Score83.80% | Rank12 | Participants22 | Percentile47.62% | EvidenceC | Evaluated |
| BenchmarkFrontierSWE | Score31.00% | Rank13 | Participants17 | Percentile25.00% | EvidenceB | Evaluated |
| BenchmarkHMMT Feb 26 | Score82.60% | Rank13 | Participants13 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAA IFBench | Score76.26% | Rank13 | Participants168 | Percentile92.81% | EvidenceB | EvaluatedN/A |
| BenchmarkFinance Agent v2 | Score44.79% | Rank15 | Participants29 | Percentile50.00% | EvidenceB | Evaluated |
| BenchmarkNL2Repo | Score42.70% | Rank18 | Participants25 | Percentile29.17% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score52.30% | Rank19 | Participants109 | Percentile83.33% | EvidenceC | Evaluated |
| BenchmarkCyberGym | Score68.70% | Rank21 | Participants23 | Percentile9.09% | EvidenceC | Evaluated |
| BenchmarkBrowseComp | Score79.30% | Rank23 | Participants70 | Percentile68.12% | EvidenceC | Evaluated |
| BenchmarkMCP Atlas | Score71.80% | Rank23 | Participants39 | Percentile42.11% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Pro | Score58.40% | Rank28 | Participants63 | Percentile56.45% | EvidenceC | Evaluated |
| BenchmarkLiveBench | Score70.18% | Rank29 | Participants38 | Percentile24.32% | EvidenceB | Evaluated |
| BenchmarkLM Arena Text | Score1,462.68 rating | Rank30 | Participants218 | Percentile86.64% | EvidenceA | Evaluated |
| BenchmarkToolathlon | Score40.70% | Rank34 | Participants42 | Percentile19.51% | EvidenceC | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,465.35 rating | Rank39 | Participants218 | Percentile82.49% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Factuality | Score1,456.13 rating | Rank41 | Participants131 | Percentile69.23% | EvidenceA | Evaluated |
| BenchmarkLM Arena Webdev | Score1,508.14 rating | Rank43 | Participants107 | Percentile60.38% | EvidenceA | Evaluated |
| BenchmarkAA SciCode Subtasks | Score44.79% | Rank48 | Participants89 | Percentile46.59% | EvidenceB | EvaluatedN/A |
| BenchmarkAA HLE Text No Tools | Score30.07% | Rank50 | Participants200 | Percentile75.38% | EvidenceB | EvaluatedN/A |
| BenchmarkAA CritPt | Score4.57% | Rank54 | Participants200 | Percentile73.37% | EvidenceB | EvaluatedN/A |
| BenchmarkAA GPQA Diamond | Score86.77% | Rank55 | Participants199 | Percentile72.73% | EvidenceB | EvaluatedN/A |
| BenchmarkGPQA | Score86.20% | Rank61 | Participants256 | Percentile76.47% | EvidenceC | Evaluated |
| BenchmarkAA LCR v1.1 | Score73.67% | Rank70 | Participants193 | Percentile64.06% | EvidenceB | EvaluatedN/A |
| BenchmarkAA Omniscience Accuracy | Score23.70% | Rank98 | Participants201 | Percentile51.50% | EvidenceB | EvaluatedN/A |
GLM 5.1 Arena Results
Preference and agent-evaluation results for the default version.
Sort by
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext factuality | Categoryjapanese | Rank19 | Rating / score1,435.88 | Votes500 | ObservationsN/A | Result date |
| Arenatext factuality | Categorygerman | Rank20 | Rating / score1,420.17 | Votes470 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry medicine and healthcare | Rank22 | Rating / score1,495.03 | Votes3,757 | ObservationsN/A | Result date |
| Arenatext factuality | Categorykorean | Rank23 | Rating / score1,413.21 | Votes673 | ObservationsN/A | Result date |
| Arenatext factuality | Categorypolish | Rank23 | Rating / score1,437.14 | Votes647 | ObservationsN/A | Result date |
| Arenatext | Categoryenglish | Rank24 | Rating / score1,475.66 | Votes27,456 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts english | Rank25 | Rating / score1,482.45 | Votes18,277 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry medicine and healthcare | Rank25 | Rating / score1,473.58 | Votes4,587 | ObservationsN/A | Result date |
| Arenatext | Categorymulti turn | Rank25 | Rating / score1,472.54 | Votes10,172 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank25 | Rating / score1,468.28 | Votes2,112 | ObservationsN/A | Result date |
| Arenatext | Categorycreative writing | Rank26 | Rating / score1,452.81 | Votes12,579 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank27 | Rating / score1,466.97 | Votes1,038 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry entertainment and sports and media | Rank27 | Rating / score1,442.31 | Votes15,276 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycreative writing | Rank27 | Rating / score1,448.43 | Votes11,539 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank28 | Rating / score1,515.16 | Votes4,525 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry writing and literature and language | Rank28 | Rating / score1,454.48 | Votes17,033 | ObservationsN/A | Result date |
| Arenatext factuality | Categorymulti turn | Rank28 | Rating / score1,476.27 | Votes9,000 | ObservationsN/A | Result date |
| Arenatext style control | Categoryhard prompts english | Rank28 | Rating / score1,499.46 | Votes18,277 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry life and physical and social science | Rank29 | Rating / score1,478.42 | Votes10,616 | ObservationsN/A | Result date |
| Arenatext style control | Categoryenglish | Rank29 | Rating / score1,481.18 | Votes27,456 | ObservationsN/A | Result date |
| Arenatext | Categoryexclude ties | Rank30 | Rating / score1,465.34 | Votes48,021 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank30 | Rating / score1,462.68 | Votes64,352 | ObservationsN/A | Result date |
| Arenatext factuality | Categorychinese | Rank30 | Rating / score1,512.73 | Votes3,703 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry business and management and financial operations | Rank31 | Rating / score1,451.72 | Votes12,385 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank31 | Rating / score1,435.00 | Votes886 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry life and physical and social science | Rank31 | Rating / score1,485.81 | Votes9,533 | ObservationsN/A | Result date |
| Arenatext | Categorynon english | Rank32 | Rating / score1,448.44 | Votes36,890 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryenglish | Rank32 | Rating / score1,472.98 | Votes27,346 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryhard prompts english | Rank32 | Rating / score1,498.03 | Votes17,673 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry entertainment and sports and media | Rank32 | Rating / score1,441.78 | Votes14,640 | ObservationsN/A | Result date |
GLM 5.1 Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- $0.8964 input, $3.59 output per 1M
- Official provider
- Zhipu AI
- Lowest third-party
- From $0.615 input, $2.46 output per 1M via HPC-AI
- Tracked offerings
- 50
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderAlibaba Token Plan | Provider model IDglm-5.1 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context202.8K | Updated |
| ProviderSCNet Token Plan | Provider model IDGLM-5.1 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context200K | Updated |
| ProviderAlibaba Token Plan (China) | Provider model IDglm-5.1 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context202.8K | Updated |
| ProviderHPC-AI | Provider model IDzai-org/glm-5.1 | Regionglobal | Input / 1M$0.615 | Output / 1M$2.46 | Context202K | Updated |
| ProviderNanoGPT | Provider model IDz-ai/glm-5.1 | Regionglobal | Input / 1M$0.70 | Output / 1M$2.5 | Context200K | Updated |
| ProviderAlibaba (China) | Provider model IDglm-5.1 | Regionglobal | Input / 1M$0.825 | Output / 1M$3.3 | Context202.8K | Updated |
| ProviderEmpirioLabs AI | Provider model IDglm-5-1 | Regionglobal | Input / 1M$0.825 | Output / 1M$3.3 | Context202K | Updated |
| ProviderEBCloud | Provider model IDGLM-5.1 | Regionglobal | Input / 1M$0.8571 | Output / 1M$3.43 | Context200K | Updated |
| ProviderZenMux | Provider model IDz-ai/glm-5.1 | Regionglobal | Input / 1M$0.8781 | Output / 1M$3.51 | Context200K | Updated |
| ProviderZhipu AI | Provider model IDglm-5.1 | Regionglobal | Input / 1M$0.8964 | Output / 1M$3.59 | Context200K | Updated |
| ProviderGMI Cloud | Provider model IDzai-org/GLM-5.1-FP8 | Regionglobal | Input / 1M$0.98 | Output / 1M$3.08 | Context202.8K | Updated |
| ProviderPioneer | Provider model IDzai-org/GLM-5.1 | Regionglobal | Input / 1M$0.98 | Output / 1M$3.08 | Context202K | Updated |
| ProviderHugging Face | Provider model IDzai-org/GLM-5.1 | Regionglobal | Input / 1M$1 | Output / 1M$3.2 | Context202.8K | Updated |
| ProviderCrossModel | Provider model IDz-ai/glm-5.1 | Regionglobal | Input / 1M$1 | Output / 1M$3.8 | Context200K | Updated |
| ProviderOllama Cloud | Provider model IDglm-5.1 | Regionglobal | Input / 1M$1 | Output / 1M$3.2 | Context202.8K | Updated |
| ProviderWafer | Provider model IDGLM-5.1 | Regionglobal | Input / 1M$1 | Output / 1M$3.2 | Context202.8K | Updated |
| ProviderDeep Infra | Provider model IDzai-org/GLM-5.1 | Regionglobal | Input / 1M$1.05 | Output / 1M$3.5 | Context202.8K | Updated |
| ProviderFastRouter | Provider model IDz-ai/glm-5.1 | Regionglobal | Input / 1M$1.05 | Output / 1M$3.5 | Context200K | Updated |
| ProviderCrusoe | Provider model IDzai/GLM-5.1 | Regionglobal | Input / 1M$1.2 | Output / 1M$4.4 | Context200K | Updated |
| ProviderDInference | Provider model IDglm-5.1 | Regionglobal | Input / 1M$1.25 | Output / 1M$3.89 | Context200K | Updated |
| ProviderDigitalOcean | Provider model IDglm-5.1 | Regionglobal | Input / 1M$1.3 | Output / 1M$4.3 | Context163.8K | Updated |
| ProviderBaseten | Provider model IDzai-org/GLM-5.1 | Regionglobal | Input / 1M$1.3 | Output / 1M$4.3 | Context202.8K | Updated |
| ProviderJalapeno Cloud | Provider model IDGLM-5.1 | Regionglobal | Input / 1M$1.38 | Output / 1M$4.4 | Context202.8K | Updated |
| ProviderNovita AI | Provider model IDzai-org/glm-5.1 | Regionglobal | Input / 1M$1.38 | Output / 1M$4.4 | Context204.8K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDglm-5.1 | Regionglobal | Input / 1M$1.38 | Output / 1M$4.4 | Context204.8K | Updated |
| ProviderAbacus | Provider model IDzai-org/GLM-5.1 | Regionglobal | Input / 1M$1.38 | Output / 1M$4.4 | Context204.8K | Updated |
| ProviderCortecs | Provider model IDglm-5.1 | Regionglobal | Input / 1M$1.38 | Output / 1M$4.35 | Context202.8K | Updated |
| ProviderTokenGo | Provider model IDz-ai/glm-5.1 | Regionglobal | Input / 1M$1.4 | Output / 1M$4.4 | Context200K | Updated |
| ProviderOrcaRouter | Provider model IDz-ai/glm-5.1 | Regionglobal | Input / 1M$1.4 | Output / 1M$4.4 | Context200K | Updated |
| ProviderImpossibl | Provider model IDzai/glm-5.1 | Regionglobal | Input / 1M$1.4 | Output / 1M$4.4 | Context200K | Updated |
GLM 5.1 Runtime Performance
Provider-specific output speed and catalog latency for GLM-5.1. Runtime does not affect the capability score.
No runtime data
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.
GLM 5.1 Specifications
Technical details for the model's default version.
- Version
- GLM-5.1
- Released
- Apr 7, 2026
- Knowledge cutoff
- Unknown
- Parameters
- 754B
- Context window
- 202.8K
- Max output
- 202.8K
- Inputs
- text
- Outputs
- text
- Open weights
- Yes
- License
- MIT
GLM 5.1 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-5.1 | Released | LLMBoard66.79 | Parameters754B | Context202.8K | Max output202.8K | Open weightsYes | LicenseMIT |
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What is GLM 5.1?
Key information about GLM 5.1 and its available data.
1 is a 754B-parameter mixture-of-experts model with 40B active parameters, a 200K context length, and up to 128K output tokens. It supports thinking mode, function calling, structured output, context caching, and MCP integration.
Data as of 2026-10-22.
FAQ
Common questions about GLM 5.1.
When was GLM 5.1 released?
GLM 5.1's default version was released on Apr 7, 2026.
How much does GLM 5.1 cost?
GLM 5.1's official API price is $0.8964 per million input tokens and $3.59 per million output tokens via Zhipu AI. The lowest tracked third-party offer starts at $0.615 input and $2.46 output via HPC-AI.
Who created GLM 5.1?
GLM 5.1 was created by Zhipu AI.
What is the context window for GLM 5.1?
The default version has a 202.8K token context window.
Is GLM 5.1 open weight?
Yes. The default version is marked as open weight under MIT.
How many API providers offer GLM 5.1?
50 provider offerings are linked to the default version.