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glm-4.6

vercel_ai_gateway · chat model

glm-4.6 is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.4500 / 1M tokens
Output
$1.8000 / 1M tokens
Cached input
$0.1100 / 1M tokens
Context
200.0K

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.4500 / 1M tokens
Output
$1.8000 / 1M tokens
Cached input
$0.1100 / 1M tokens
Embedding
$0.4500 / 1M tokens

Token limits

Context window
200.0K
Max input tokens
200.0K
Max output tokens
200.0K
Max tokens
200.0K

Capabilities

Capability Supported
Vision
Function calling
Parallel function calling
Tool choice
Prompt caching
Reasoning
Response schema
System messages
Audio input
Audio output
Web search
PDF input
Video input

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
Artificial Analysis Intelligence Index 32.5 index score Base model: GLM 4.6 (z-ai/glm-4.6) 2026-05-31 Link
Artificial Analysis Coding Index 29.5 index score Base model: GLM 4.6 (z-ai/glm-4.6) 2026-05-31 Link
Artificial Analysis Agentic Index 41.6 index score Base model: GLM 4.6 (z-ai/glm-4.6) 2026-05-31 Link
GPQA Diamond 78.0% accuracy Base model: GLM 4.6 (z-ai/glm-4.6) 2026-05-31 Link
MMLU 74.7 score Base model: GLM (GLM-4-9B) 2026-05-31 Link
C-Eval 77.1 score Base model: GLM (GLM-4-9B) 2026-05-31 Link
GPQA 34.3 score Base model: GLM (GLM-4-9B) 2026-05-31 Link
GSM8K 84.0 score Base model: GLM (GLM-4-9B) 2026-05-31 Link
MATH 30.4 score Base model: GLM (GLM-4-9B) 2026-05-31 Link
HumanEval 70.1 score Base model: GLM (GLM-4-9B) 2026-05-31 Link
Artificial Analysis Intelligence Index 32.5 score Base model: glm-4.6 (z-ai/glm-4.6) 2026-05-31 Link
Artificial Analysis Coding Index 29.5 score Base model: glm-4.6 (z-ai/glm-4.6) 2026-05-31 Link
Artificial Analysis Agentic Index 41.6 score Base model: glm-4.6 (z-ai/glm-4.6) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

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Comparing from
Model Cost Input shape Features Context Why it is close
glm-4.6
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In $0.4500 / 1M tokens
Out $1.8000 / 1M tokens
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Output: text
Function callingParallel function callingTool choice
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Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
GLM-4.7
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In $0.4500 / 1M tokens
Out $2.0000 / 1M tokens
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GLM-4.6
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In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
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Output: text
Function callingParallel function callingTool choice
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In $0.5000 / 1M tokens
Out $2.1500 / 1M tokens
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Kimi-K2-Instruct-0905
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In $0.5000 / 1M tokens
Out $2.0000 / 1M tokens
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Function callingTool choice
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Qwen3-Coder-480B-A35B-Instruct
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In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Text covered
Overall 86%
Kimi-K2-Instruct
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In $0.5000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
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Overall 84%
gpt-3.5-turbo-0125
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choice
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gpt-35-turbo-0125
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choice
4.1K
Text covered
Overall 83%
glm-4.5
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In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 82%
qwen3-coder
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In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
66.5K
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Overall 79%
gpt-35-turbo-1106
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In $1.0000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choice
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glm-4.6
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Out $1.7500 / 1M tokens
text
Output: text
Function callingTool choice
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grok-3-mini-fast
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In $0.6000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
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Overall 78%
Kimi-K2-Instruct-0905
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In $1.0000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choice
N/A
Text covered
Overall 76%
grok-3-mini
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In $0.3000 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choice
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In $0.2000 / 1M tokens
Out $1.1000 / 1M tokens
text
Output: text
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kimi-k2
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In $0.5500 / 1M tokens
Out $2.2000 / 1M tokens
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minimax.minimax-m2.1
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In $0.4700 / 1M tokens
Out $1.8600 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 72%
qwen3-coder-480b-a35b-instruct
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In $0.4500 / 1M tokens
Out $1.8000 / 1M tokens
text
Output: text
Low overlap
262.1K
Text covered
Overall 71%
minimax.minimax-m2.5
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In $0.4700 / 1M tokens
Out $1.8600 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 70%
gpt-4-1106-preview
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In $10.0000 / 1M tokens
Out $30.0000 / 1M tokens
text
Output: text
Function callingParallel function callingTool choice
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Overall 66%
Mistral-Small-24B-Instruct-2501
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In N/A
Out N/A
text
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Function callingParallel function callingTool choice
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Out N/A
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Function callingParallel function callingTool choice
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gpt-4-0125-preview
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In $10.0000 / 1M tokens
Out $30.0000 / 1M tokens
text image
Output: text
Function callingParallel function callingTool choice
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In $0.4400 / 1M tokens
Out $1.7600 / 1M tokens
text
Output: text
Function callingParallel function callingTool choice
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Partial I/O overlap
Overall 49%
Missing text
glm-4.6:exacto
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In $0.4500 / 1M tokens
Out $1.9000 / 1M tokens
text
Output: unknown
Function callingTool choice
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Partial I/O overlap
Overall 39%
Missing text