Zhipu AI model product
3-Flash is a natively multimodal 320B-total/18B-active MoE model from Zhipu AI with a 1M-token context window.
Updated Sep 8, 2026. Default version: GLM-5.3-Flash
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for GLM-5.3-Flash.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkChartography | Score78.00% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMMVU | Score80.50% | Rank01 | Participants5 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMVBench | Score77.80% | Rank01 | Participants18 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkToolathlon | Score78.40% | Rank01 | Participants41 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkArtificial Analysis | Score57.00% | Rank02 | Participants8 | Percentile85.71% | EvidenceC | Evaluated |
| BenchmarkAutomationBench | Score48.80% | Rank02 | Participants18 | Percentile94.12% | EvidenceC | Evaluated |
| BenchmarkGDPval-AA | Score1,773.00 points | Rank02 | Participants9 | Percentile87.50% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Task Outcome Explicit | Score14.14% | Rank04 | Participants49 | Percentile93.75% | EvidenceA | Evaluated |
| BenchmarkNL2Repo | Score56.30% | Rank05 | Participants22 | Percentile80.95% | EvidenceC | Evaluated |
| BenchmarkOfficeQA Pro | Score62.40% | Rank06 | Participants9 | Percentile37.50% | EvidenceC | Evaluated |
| BenchmarkBabyVision | Score53.40% | Rank08 | Participants11 | Percentile30.00% | EvidenceC | Evaluated |
| BenchmarkCharXiv-R | Score89.40% | Rank09 | Participants55 | Percentile85.19% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Tool Hallucination | Score0.78% | Rank10 | Participants49 | Percentile81.25% | EvidenceA | Evaluated |
| BenchmarkLM Arena Vision | Score1,296.37 rating | Rank12 | Participants107 | Percentile89.62% | EvidenceA | Evaluated |
| BenchmarkAgents' Last Exam | Score26.30% | Rank13 | Participants16 | Percentile20.00% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.1 | Score84.30% | Rank13 | Participants35 | Percentile64.71% | EvidenceC | Evaluated |
| BenchmarkLM Arena Webdev | Score1,604.97 rating | Rank13 | Participants97 | Percentile87.50% | EvidenceA | Evaluated |
| BenchmarkDeepSWE 1.1 | Score63.40% | Rank14 | Participants31 | Percentile56.67% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score55.30% | Rank14 | Participants103 | Percentile87.25% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Praise Complaint | Score5.45% | Rank16 | Participants49 | Percentile68.75% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Factuality | Score1,471.34 rating | Rank17 | Participants121 | Percentile86.67% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Leaderboard | Score3.67% | Rank19 | Participants49 | Percentile62.50% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text | Score1,470.84 rating | Rank20 | Participants210 | Percentile90.91% | EvidenceA | Evaluated |
| BenchmarkLM Arena Vision Style Control | Score1,272.63 rating | Rank21 | Participants107 | Percentile81.13% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Steerability | Score0.23% | Rank22 | Participants49 | Percentile56.25% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,474.16 rating | Rank23 | Participants210 | Percentile89.47% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Bash Recovery Steps | Score-2.24% | Rank34 | Participants49 | Percentile31.25% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenaagent task outcome explicit | Categoryoverall | Rank04 | Rating / score0.14 | VotesN/A | Observations13.5K | Result date |
| Arenatext | Categorycoding | Rank05 | Rating / score1,516.19 | Votes1,274 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycoding | Rank05 | Rating / score1,536.12 | Votes1,243 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank06 | Rating / score1,518.91 | Votes480 | ObservationsN/A | Result date |
| Arenatext style control | Categorycoding | Rank07 | Rating / score1,534.08 | Votes1,274 | ObservationsN/A | Result date |
| Arenavision | Categorydiagram | Rank08 | Rating / score1,320.60 | Votes314 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-react | Rank09 | Rating / score1,635.16 | Votes1,291 | ObservationsN/A | Result date |
| Arenaagent tool hallucination | Categoryoverall | Rank10 | Rating / score0.01 | VotesN/A | Observations1.8M | Result date |
| Arenatext | Categoryindustry software and it services | Rank11 | Rating / score1,499.95 | Votes1,807 | ObservationsN/A | Result date |
| Arenatext style control | Categorychinese | Rank11 | Rating / score1,531.54 | Votes270 | ObservationsN/A | Result date |
| Arenatext style control | Categoryexpert | Rank11 | Rating / score1,517.16 | Votes480 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank12 | Rating / score1,296.37 | Votes1,389 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank13 | Rating / score1,527.63 | Votes270 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry software and it services | Rank13 | Rating / score1,513.77 | Votes1,788 | ObservationsN/A | Result date |
| Arenawebdev | Categoryoverall | Rank13 | Rating / score1,604.97 | Votes1,961 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank13 | Rating / score1,604.97 | Votes1,961 | ObservationsN/A | Result date |
| Arenavision | Categoryenglish | Rank14 | Rating / score1,294.44 | Votes441 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts | Rank15 | Rating / score1,486.20 | Votes3,092 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry software and it services | Rank15 | Rating / score1,513.97 | Votes1,807 | ObservationsN/A | Result date |
| Arenavision | Categoryocr | Rank15 | Rating / score1,301.34 | Votes968 | ObservationsN/A | Result date |
| Arenaagent praise complaint | Categoryoverall | Rank16 | Rating / score0.05 | VotesN/A | Observations5.4K | Result date |
| Arenatext | Categoryhard prompts english | Rank16 | Rating / score1,483.31 | Votes1,147 | ObservationsN/A | Result date |
| Arenatext factuality | Categorynon english | Rank16 | Rating / score1,463.14 | Votes2,909 | ObservationsN/A | Result date |
| Arenavision style control | Categorydiagram | Rank16 | Rating / score1,308.37 | Votes314 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry mathematical | Rank17 | Rating / score1,490.60 | Votes225 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryinstruction following | Rank17 | Rating / score1,473.45 | Votes1,629 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryoverall | Rank17 | Rating / score1,471.34 | Votes4,669 | ObservationsN/A | Result date |
| Arenatext | Categoryinstruction following | Rank18 | Rating / score1,469.79 | Votes1,660 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryhard prompts | Rank18 | Rating / score1,496.13 | Votes3,091 | ObservationsN/A | Result date |
| Arenaagent | Categoryoverall | Rank19 | Rating / score0.04 | VotesN/A | Observations1.9M | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderKenari | Provider model IDglm-5-3-flash | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderZhipu AI Coding Plan | Provider model IDglm-5.3-flash | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderZ.AI Coding Plan | Provider model IDglm-5.3-flash | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderNaN | Provider model IDglm5.3-flash | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderSCNet Token Plan | Provider model IDGLM-5.3-Flash | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderMerge Gateway | Provider model IDzai/glm-5.3-flash | Regionglobal | Input / 1M$0.015 | Output / 1M$0.05 | Context1M | Updated |
| ProviderVancine | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.06 | Output / 1M$0.20 | Context1M | Updated |
| ProviderCrofAI | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.07 | Output / 1M$0.22 | Context1M | Updated |
| ProviderTokenGo | Provider model IDz-ai/glm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.025 | Context1M | Updated |
| ProviderOrcaRouter | Provider model IDz-ai/glm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1M | Updated |
| ProviderNanoGPT | Provider model IDz-ai/glm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1M | Updated |
| ProviderOpenRouter | Provider model IDz-ai/glm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1.3M | Updated |
| ProviderCrossModel | Provider model IDz-ai/glm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1M | Updated |
| ProviderZ.AI | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1M | Updated |
| ProviderOpenCode Go | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1M | Updated |
| ProviderOfox | Provider model IDz-ai/glm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1M | Updated |
| ProviderZhipu AI | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1M | Updated |
| ProviderEmpirioLabs AI | Provider model IDglm-5-3-flash | Regionglobal | Input / 1M$0.075 | Output / 1M$0.25 | Context1M | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.10 | Output / 1M$0.25 | Context1M | Updated |
| ProviderRunInfra | Provider model IDzai-org/GLM-5.3-Flash | Regionglobal | Input / 1M$0.10 | Output / 1M$0.40 | Context1M | Updated |
| ProviderAIHubMix | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.1127 | Output / 1M$0.3944 | Context1M | Updated |
| ProviderCloudflare Workers AI | Provider model ID@cf/zai-org/glm-5.3-flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context1.3M | Updated |
| ProviderSynthetic | Provider model IDhf:zai-org/GLM-5.3-Flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context524.3K | Updated |
| ProviderDeep Infra | Provider model IDzai-org/GLM-5.3-Flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context1M | Updated |
| ProviderHugging Face | Provider model IDzai-org/GLM-5.3-Flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context1M | Updated |
| ProviderVivgrid | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context1M | Updated |
| ProviderNebius Token Factory | Provider model IDzai-org/GLM-5.3-Flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context1M | Updated |
| ProviderDigitalOcean | Provider model IDglm-5.3-flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context1M | Updated |
| ProviderTogether AI | Provider model IDzai-org/GLM-5.3-Flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context1M | Updated |
| ProviderBaseten | Provider model IDzai-org/GLM-5.3-Flash | Regionglobal | Input / 1M$0.15 | Output / 1M$0.50 | Context1M | Updated |
Provider-specific output speed and catalog latency for GLM-5.3-Flash. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderFriendliAI | Output Speed74.28 tok/s | Catalog Latency1.57 s | Max Input1M | Max Output131.1K | Updated |
| ProviderDeepInfra | Output Speed38.15 tok/s | Catalog Latency2.64 s | Max Input1M | Max Output131.1K | Updated |
| ProviderZAI | Output Speed7.17 tok/s | Catalog Latency9.40 s | Max Input1M | Max Output131.1K | Updated |
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-5.3-Flash | Released | LLMBoard84.28 | Parameters320B | Context1M | Max output131.1K | Open weightsYes | LicenseMIT |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about GLM 5.3 Flash and its available data.
AI's GLM-5 series, using hybrid sparse and linear attention with mHC. It has MIT-licensed open weights available on Hugging Face.
Data as of 2026-09-08.
Common questions about GLM 5.3 Flash.
GLM 5.3 Flash's default version was released on Aug 26, 2026.
GLM 5.3 Flash's official API price is $0.075 per million input tokens and $0.25 per million output tokens via Zhipu AI. The lowest tracked third-party offer starts at $0.015 input and $0.05 output via Merge Gateway.
GLM 5.3 Flash was created by Zhipu AI.
The default version has a 1M token context window.
Yes. The default version is marked as open weight under MIT.
46 provider offerings are linked to the default version.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.