Inference
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Z.AI

GLM 4.6V

GLM 4.6V is a model from Z.AI. It has no scored result.

  • Open weights
  • Input: image · text · video
  • Released 2025-12
No resultsEnough results for an index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.0%
SpeedOutput tokens per second.14/sMedian 67/s
First tokenSeconds to the first output token.4.9 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.30Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.90Median $2.55
ContextMaximum tokens in one request.131KMedian 262K
EloLMArena rating and rank.1376±11 #183Median 1422

Details

From OpenRouter
API IDThe model ID on OpenRouter.
z-ai/glm-4.6v
Max outputMaximum output tokens per request.
33K
Knowledge cutoffLast date of training data.
—
ToolsTool calls on OpenRouter.
Yes
JSON outputOutput follows a given JSON schema.
No
Cache read / 1MUS dollars per 1M cached tokens.
$0.055
WeightsLink to the published weights.
Hugging Face (opens in a new tab) ↗
RetiresDate OpenRouter removes the model.
—

Where to run

APIs that serve this model.
4 providers
ProviderTypeMaker, cloud, host or router.InputOutputContext
Zhipu AIMaker$0.149$0.448128K
Novita AIHost$0.30$0.90131K
OpenRouterRouter$0.30$0.90131K
Z.AIMaker$0.30$0.90128K

US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.None counted——
CodingCode writing and repair.None counted——
ReasoningLogic problems and puzzles.None counted——
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.None counted——
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.None counted——
MathMath problems.None counted——

Results

0 counted
This model has no scored result.

Sources

BenchLMCC BY-NC 4.0OpenRouterTerms restrict reusemodels.devMIT

History

5 releases
Output / 1M$0.90 → $0.90
23 Oct 202612 Nov 2026

Questions

How much does GLM 4.6V cost?
$0.30 per 1M input tokens, $0.90 per 1M output tokens.
How fast is GLM 4.6V?
14 output tokens per second, 4.9 s to the first token.
What is the context window of GLM 4.6V?
131K tokens.
Is GLM 4.6V open source?
Yes. Its weights are published.
When was GLM 4.6V released?
December 2025.

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