GLM 5.1
Z.ai (Zhipu AI)huggingface.co/zai-org/GLM-5.1
GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...
Updated 5 h ago · first seen 11 Sept 2026
model_01M294WW1CDHH48R3T2VC41VX7
Overview
Identity
Identity block not returned by the API for this entity.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Release date
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 7 h agomedium
- Status
Source:Artificial AnalysisT2observed 10 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Architecture
- Architecture
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Model type
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Parameters
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Weights dtype
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- File size
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Library name
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Pipeline tag
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 9 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
- Languages
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
Benchmarks9
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
No benchmark results recorded
Providers & Pricing1
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 1 provider
- Z.ai API
- Z.ai APIfirst observed $3.0411 Sept 2026
Input price · USD / 1M tokens 1 provider
- Z.ai API
- Z.ai APIfirst observed $0.96611 Sept 2026
Hardware fit37
Assumptions (6)
- Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
- bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
- KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
- A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
- Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
- Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
Papers1
- arXiv:2602.15763Active35
Timeline15
Full timeline →GLM 5.1: context length changed from 200000 to 204800
Context window200K tokens→204.8K tokensopenrouterGLM 5.1 scores 43.18% on Terminal-Bench
artificial_analysisGLM 5.1 scores 61.8% on Terminal-Bench
artificial_analysisGLM 5.1 scores 2.02% on Terminal-Bench
artificial_analysisGLM 5.1 scores 30.07% on Humanity's Last Exam
artificial_analysisGLM 5.1 scores 26.45 on Artificial Analysis Intelligence Index
artificial_analysisGLM 5.1: context length changed from 204800 to 200000
Context window204.8K tokens→200K tokensartificial_analysisGLM 5.1: release date changed from 2026-04-03 to 2026-04-07
Release date3 Apr 2026→7 Apr 2026openrouterGLM 5.1: release date changed from 2026-04-07 to 2026-04-03
Release date7 Apr 2026→3 Apr 2026huggingfaceZ.ai API lists GLM 5.1 at $0.966 in / $3.036 out per 1M tokens
openrouter
Change history37
Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Attributes as of 12 Sept 2026 41 claims in force
- Release date
- 3 Apr 2026
- Status
- deprecated
- Openness
- open-weights
- License
- MIT
- Architecture
- GlmMoeDsaForCausalLM
- Parameters
- 753.9B
- Context window
- 204.8K tokens
- Max output
- 128K tokens
- Modalities
- text
- Input modalities
- text
- Output modalities
- text
- Languages
- en, zh
- File size
- 1507.7 GB
- Hugging Face repo
- zai-org/GLM-5.1
- Pipeline tag
- text-generation
- Model card
- Downloads
- 83,779
- Likes
- 1,841
- Aa context window
- 200,000
- Aa deprecated
- Yes
- Aa openness
- open-weights
- Commercial use allowed
- Yes
- Derivatives allowed
- Yes
- Gated
- No
- Hf inference providers
- deepinfra, featherless-ai, zai-org
- Last modified
- 2026-05-13T08:10:58+00:00
- Library name
- transformers
- Aa median output tokens per second
- 68.7
- Downloads all time
- 728,869
- Model type
- glm_moe_dsa
- Openrouter id
- z-ai/glm-5.1
- Openrouter listed at
- 7 Apr 2026
- Reasoning
- Yes
- Redistribution allowed
- Yes
- Structured output
- Yes
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
- Tags
- transformers, safetensors, glm_moe_dsa, text-generation, en, zh
- Tool calling
- Yes
- Weights available
- Yes
- Weights dtype
- BF16, F32
Release daterelease_date4
Statusstatus1
Opennessopenness1
Licenselicense1
Architecturearchitecture1
Parametersparameter_count1
Context windowcontext_length2
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Languageslanguages1
File sizefile_size_gb1
Hugging Face repohf_repo1
Pipeline tagpipeline_tag1
Model cardmodel_card_url1
Downloadsmetric.downloads1
Likesmetric.likes1
Descriptiondescription1
Gatedgated1
Hf inference providershf_inference_providers1
Last modifiedlast_modified1
Library namelibrary_name1
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1
Downloads all timemetric.downloads_all_time1
Model typemodel_type1
Openrouter idopenrouter_id1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Weights dtypeweights_dtype1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
34
Source tiers
T234
Freshest observation
5 h ago
Conflicts
None
Source documents 5
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (68/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →