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zai-glm-4.6

cerebras · chat model

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

Input
$2.2500 / 1M tokens
Output
$2.7500 / 1M tokens
Cached input
N/A
Context
128.0K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
$2.2500 / 1M tokens
Output
$2.7500 / 1M tokens
Embedding
$2.2500 / 1M tokens

Token limits

Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K

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

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Out $2.7500 / 1M tokens
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Reference row

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

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Out $2.2200 / 1M tokens
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Out $2.2200 / 1M tokens
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Output: text
Function callingTool choiceReasoning
163.8K
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deepseek.v3.2
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Out $2.2200 / 1M tokens
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Function callingTool choiceReasoning
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Out $4.5000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
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Out $2.0400 / 1M tokens
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Overall 29%
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Out $0.5000 / 1M tokens
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