Skip to content
AI Atlas
ModelDeprecated

GLM 4.6

Z.ai (Zhipu AI)

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

Open in Graph
data quality56

Updated 7 h ago · first seen 11 Sept 2026

model_01M294WWB0PA51VCWTGG2EEAZF

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:OpenRouter public model & pricing listingT2observed 14 h agomedium

Status

Source:Artificial AnalysisT2observed 12 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Architecture

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 14 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 11 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 14 h agomedium

Benchmarks8

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

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Providers & Pricing1

All offers in the price terminal →
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
Z.ai APIz-ai/glm-4.6$0.43$1.75$0.08—198K6 h agoopenrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Output price history of GLM 4.6$0$0.50$1$1.5$2$2.5Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Z.ai API: first observed → $1.75 · 11 Sept 2026
  • Z.ai API
  • Z.ai APIfirst observed $1.7511 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of GLM 4.6$0$0.10$0.20$0.30$0.40$0.50Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Z.ai API: first observed → $0.43 · 11 Sept 2026
  • Z.ai API
  • Z.ai APIfirst observed $0.4311 Sept 2026

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 1cerebras/GLM-4.6-REAP-268B-A3…268.8Bcerebras/GLM-4.6-REAP-268B-A32B — 268.8BGLM 4.6this modelGLM 4.6 — this model

Timeline14

Full timeline →
  • Property changedModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6: reasoning changed from false to true

    ReasoningNo→Yesopenrouter
    openrouter.ai
  • Context window changedModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6: context length changed from 200000 to 204800

    Context window200K tokens→204.8K tokensopenrouter
    openrouter.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 55.4% on SWE-bench Verified

    swebench_leaderboard
    swebench.com
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 68.2% on SWE-bench Verified

    swebench_leaderboard
    swebench.com
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 28.79% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 76.9% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 36.73% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 5.47% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 63.23% on GPQA

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 14.93 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Context window changedModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6: context length changed from 204800 to 200000

    Context window204.8K tokens→200K tokensartificial_analysis
    artificialanalysis.ai
  • Property changedModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6: reasoning changed from true to false

    ReasoningYes→Noartificial_analysis
    artificialanalysis.ai
  • New modelModelGLM 4.6Z.ai (Zhipu AI)

    New model: GLM 4.6 (Z.ai (Zhipu AI))

    openrouter
    openrouter.ai
  • Listed by providerModelGLM 4.6Z.ai (Zhipu AI)

    Z.ai API lists GLM 4.6 at $0.43 in / $1.75 out per 1M tokens

    openrouter
    openrouter.ai

Change history21

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

GLM 4.6 was not yet in AI Atlas on 12 Mar 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
21 claims · 17 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
30 Sept 2025 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Statusstatus1

Claim history for Status
ValueValid from → toStatusSourceConfidenceExtractor
deprecated → currentcurrentArtificial AnalysisT2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentArtificial AnalysisT2mediumdeterministic

Context windowcontext_length3

Claim history for Context window
ValueValid from → toStatusSourceConfidenceExtractor
204.8K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
200K tokens → supersededArtificial AnalysisT2mediumdeterministic
204.8K tokens → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

Claim history for Max output
ValueValid from → toStatusSourceConfidenceExtractor
16.4K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Knowledge cutoffknowledge_cutoff1

Claim history for Knowledge cutoff
ValueValid from → toStatusSourceConfidenceExtractor
Mar 2025 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

Claim history for Modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

Claim history for Input modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

Claim history for Output modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
ValueValid from → toStatusSourceConfidenceExtractor
zai-org/GLM-4.6 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Descriptiondescription1

Claim history for Description
ValueValid from → toStatusSourceConfidenceExtractor
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1

Claim history for Aa median output tokens per second
ValueValid from → toStatusSourceConfidenceExtractor
36.9 → currentcurrentArtificial AnalysisT2mediumdeterministic

Openrouter idopenrouter_id1

Claim history for Openrouter id
ValueValid from → toStatusSourceConfidenceExtractor
z-ai/glm-4.6 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning3

Claim history for Reasoning
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
No → supersededArtificial AnalysisT2mediumdeterministic
Yes → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

Claim history for Structured output
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

Claim history for Supported parameters
ValueValid from → toStatusSourceConfidenceExtractor
frequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tool callingtool_calling1

Claim history for Tool calling
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

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

18

Source tiers

T218

Freshest observation

7 h ago

Conflicts

None

Source documents 4

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary6 h ago6
Hugging Face Hub (public pages, model cards, papers)huggingface.co/cerebras/GLM-4.6-REAP-268B-A32B model_pageT2· Quality secondary8 h ago5
SWE-bench leaderboardsswebench.com/ leaderboardT2· Quality secondary12 h ago1
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary12 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (56/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →