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Z.ai: GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. $0.30 per million input tokens, $0.90 per million output tokens. 131,072 token context window, maximum output of 32,768 tokens. Higher uptime with 2 providers. Includes independent benchmarks from Artificial Analysis.

Overview

Model specifications

Context
131,072 tokens
Maximum output
32,768 tokens
Architecture
text+image+video->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.3
/M tokens
Output
$0.9
/M tokens
Cache read
$0.055
/M tokens
API

Model configuration

Default parameters

temperature
0.8
top_p
0.6

Reasoning

Moderated
No
Default parameters
No
API

Quick start

Call this exact model ID through OpenRouter’s OpenAI-compatible API.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"z-ai/glm-4.6v","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

InputOutput

Input
imagetextvideo
Output
text
Reasoning

No

API

Supported API parameters

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_p
Available providers

2 providers

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Novita

bf16
Context
131K
Maximum output
33K
Input
$0.300
Output
$0.900
Cache read
$0.055
Cache write
Not provided

Z.AI

fp8
Context
131K
Maximum output
33K
Input
$0.300
Output
$0.900
Cache read
$0.050
Cache write
Not provided
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