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ModelCap

GLM 4.6V

Arena #194Official publisher releaseOpen weights7d #139 → #143

Z.ai·#143 of 352 on the current board·cheaper than #136 o4 Mini

GLM 4.6V is a language model from Z.ai. It ranks #143 of 352 on ModelCap's current board, with an Index score of 46.6, measured on 2 public benchmarks. Its score range of 40.1–53.1 spans positions #111–#157. It is listed at $0.30 per million input tokens and $0.90 per million output tokens across 2 providers. It reads up to 131K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · Current board
46.6#143
Measured on 2 public benchmarks · range 40.1–53.1
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
20.6Increased by 0.2
Secondary market signal
Input
$0.30
per 1M tokens
Output
$0.90
per 1M tokens
Context
131K
tokens
Providers
2
endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitabf16Cheapest$0.30$0.90131Kbf16100.0%
Z.AIfp8$0.30$0.90131Kfp8100.0%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
zai-org
live · model author
———1033 ms52.2 tok/stools

Other versions (1)

ModelCap Index · Current board

Methodology
46.6
Measured on 2 public benchmarks
Current board
#143 of 352
Score range
40.1–53.1
Rank range
#111–#157
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
44.3% · moderate
Identity binding
Exact catalogue product · z-ai/z-ai/glm-4.6v · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata zai-org/GLM-4.6V@4e2d47eb0b41c5280d8294b17cef9e94fdcfff46 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
46.6
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
46.6
Evidence status
confirmed · 71% mass
General preference
46.9
Coding
44.0
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
44%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
7.4
Liquidity (providers × uptime)
55.0
Open reach (HF downloads)
9.3
Surface (context / tools / modalities)
85.2
Freshness
28.1
  • · OpenRouter popularity #220
  • · 2 live providers
  • · HF 30d downloads 5434
  • · Catalogue: context 131072, reasoning, tools, modalities Image/Text/Video
  • · First seen 2025-12-08

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
83.5
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
95.0
Evaluation provenance
47.5

Not yet published: the base model it derives from, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
20.6
OpenRouter weekly popularity
#220 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#194 of 419
Rating
1378.4
95% confidence interval
1367–1390
Votes
3K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
7.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
55.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
9.3

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
28.1

Time since first public availability, on a six-month half-life.

Specification

Model ID
z-ai/glm-4.6v
Context window
131K tokens
Declared output cap
33K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Image, Text, Video
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.055 / 1M
First seen on OpenRouter
8 Dec 2025

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Not supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
mit
Pinned revision
4e2d47eb0b41
Parameters
107.7B
Architecture
Glm4vMoeForConditionalGeneration
Model type
glm4v_moe
Hugging Face downloads (30d)
5K
Downloads (all time)
439K
Likes
398
Repository updated
9 Dec 2025, 05:34 UTC

Compare GLM 4.6V with

Pick any model

Benchmark leaderboards featuring GLM 4.6V

All leaderboards
Public benchmark boards on which GLM 4.6V has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13781367–1390#194 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)14161391–1441#201 of 414Default28 Oct 2026

Alternatives to GLM 4.6V, by the numbers

Ranked neighbours

Models within 3 places of #143 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Z.ai models

The same publisher's other current models with a public Index position.

GLM 4.6V: common questions

How does GLM 4.6V rank among AI models?

GLM 4.6V holds ModelCap Index position #143 of 352 ranked language models as of 6 November 2026, with an Index score of 46.6 (interval 40.1–53.1); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does GLM 4.6V cost per 1M tokens?

GLM 4.6V is listed at $0.30 per 1M input tokens and $0.90 per 1M output tokens as of 6 November 2026 across 2 providers. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.05 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of GLM 4.6V?

GLM 4.6V has a published context window of 131K tokens (131,072). The snapshot lists a 32,768 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is GLM 4.6V open-weight?

Open weights (mit). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is zai-org/GLM-4.6V on Hugging Face.

Which API providers serve GLM 4.6V?

2 providers serve GLM 4.6V through OpenRouter as of 6 November 2026: Novita and Z.AI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has GLM 4.6V been evaluated on?

GLM 4.6V has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1378 (#194 of 419) and Arena coding 1416 (#201 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does GLM 4.6V compare with GLM 4.5 Air?

GLM 4.6V ranks #143 (Index 46.6) and GLM 4.5 Air ranks #146 (Index 45.2) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was GLM 4.6V released?

GLM 4.6V first appeared in the catalogue on 8 Dec 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.