LLM Pricing
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glm-4.6

OpenRouter · chat model

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

Input
$0.4000 / 1M tokens
Output
$1.7500 / 1M tokens
Cached input
N/A
Context
131.0K
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
$0.4000 / 1M tokens
Output
$1.7500 / 1M tokens
Embedding
$0.4000 / 1M tokens

Token limits

Context window
131.0K
Max input tokens
202.8K
Max output tokens
131.0K
Max tokens
131.0K

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

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
glm-4.6
OpenRouter
In $0.4000 / 1M tokens
Out $1.7500 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
131.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
deepseek-v3.2
azure_ai
In $0.5800 / 1M tokens
Out $1.6800 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
163.8K
Text covered
Overall 94%
deepseek-v3.2-speciale
azure_ai
In $0.5800 / 1M tokens
Out $1.6800 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
163.8K
Text covered
Overall 94%
deepseek.v3.2
Bedrock
In $0.6200 / 1M tokens
Out $1.8500 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Text covered
Overall 87%
deepseek.v3.2
Bedrock
In $0.6200 / 1M tokens
Out $1.8500 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Text covered
Overall 87%
deepseek.v3.2
Bedrock
In $0.6200 / 1M tokens
Out $1.8500 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Text covered
Overall 87%
deepseek.v3.2
bedrock_converse
In $0.6200 / 1M tokens
Out $1.8500 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Text covered
Overall 87%
minimax-m2
OpenRouter
In $0.2550 / 1M tokens
Out $1.0200 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
204.8K
Same provider
Overall 87%
grok-code-fast
xai
In $0.2000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
256.0K
Text covered
Overall 87%
grok-code-fast-1
xai
In $0.2000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
256.0K
Text covered
Overall 87%
deepseek-chat-v3.1
OpenRouter
In $0.2000 / 1M tokens
Out $0.8000 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
163.8K
Same provider
Overall 87%
minimax-m2.5
OpenRouter
In $0.3000 / 1M tokens
Out $1.1000 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
65.5K
Same provider
Overall 86%
deepseek-v3.2
OpenRouter
In $0.2800 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
163.8K
Same provider
Overall 86%
glm-5
OpenRouter
In $0.8000 / 1M tokens
Out $2.5600 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
128.0K
Same provider
Overall 85%
deepseek-r1-0528
OpenRouter
In $0.5000 / 1M tokens
Out $2.1500 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
8.2K
Same provider
Overall 82%
deepseek-r1
OpenRouter
In $0.5500 / 1M tokens
Out $2.1900 / 1M tokens
text
Output: text
Function callingTool choicePrompt cachingReasoning
8.2K
Same provider
Overall 81%
glm-4.6
vercel_ai_gateway
In $0.4500 / 1M tokens
Out $1.8000 / 1M tokens
text
Output: text
Function callingTool choice
200.0K
Text covered
Overall 79%
minimax.minimax-m2.5
Bedrock
In $0.4700 / 1M tokens
Out $1.8600 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
8.2K
Text covered
Overall 74%
qwen3-coder-480b-a35b-instruct
fireworks_ai
In $0.4500 / 1M tokens
Out $1.8000 / 1M tokens
text
Output: text
Reasoning
262.1K
Text covered
Overall 72%
minimax.minimax-m2.1
Bedrock
In $0.4700 / 1M tokens
Out $1.8600 / 1M tokens
text
Output: text
Function callingTool choice
8.2K
Text covered
Overall 69%
gpt-4.1-mini
Azure
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text image
Output: text
Function callingTool choicePrompt caching
32.8K
Text covered
Overall 60%
gpt-4.1-mini-2025-04-14
Azure
In $0.4400 / 1M tokens
Out $1.7600 / 1M tokens
text
Output: text
Function callingTool choicePrompt caching
32.8K
Partial I/O overlap
Overall 48%
Missing text