LLM Pricing
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glm-4.5-flash

zai · chat model

glm-4.5-flash is listed here as a chat model from zai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
N/A
Output
N/A
Cached input
N/A
Context
N/A
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. 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

Token limits

Max input tokens
128.0K
Max output tokens
32.0K

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
TAU-Bench 70.1% Pass@1 Base model: GLM-4.5 (GLM-4.5) 2026-05-31 Link
AIME 2024 91.0% Pass@1 Base model: GLM-4.5 (GLM-4.5) 2026-05-31 Link
SWE-bench Verified 64.2% Resolved Base model: GLM-4.5 (GLM-4.5) 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

Sources

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

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-4.5-flash
zai
In N/A
Out N/A
Output: unknown
Function callingTool choice
N/A
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
Llama-3.3-70B-Instruct
meta_llama
In N/A
Out N/A
Output: text
Function callingTool choice
4.0K
Partial I/O overlap
Overall 25%
Llama-3.3-8B-Instruct
meta_llama
In N/A
Out N/A
Output: text
Function callingTool choice
4.0K
Partial I/O overlap
Overall 25%
Llama-4-Maverick-17B-128E-Instruct-FP8
meta_llama
In N/A
Out N/A
Output: text
Function callingTool choice
4.0K
Partial I/O overlap
Overall 25%
Llama-4-Scout-17B-16E-Instruct-FP8
meta_llama
In N/A
Out N/A
Output: text
Function callingTool choice
4.0K
Partial I/O overlap
Overall 25%
Gemma-SEA-LION-v4-27B-IT
publicai
In N/A
Out N/A
Output: unknown
Function callingTool choice
4.1K
Partial I/O overlap
Overall 25%
salamandra-7b-instruct-tools-16k
publicai
In N/A
Out N/A
Output: unknown
Function callingTool choice
4.1K
Partial I/O overlap
Overall 25%
Llama-3.2-3B-Instruct
deepinfra
In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Partial I/O overlap
Overall 25%
glm-4-32b-0414-128k
zai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choice
N/A
Same provider
Overall 25%
Llama-3.3-70B-Instruct
azure_ai
In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
text
Output: text
Function callingTool choice
2.0K
Partial I/O overlap
Overall 25%
glm-4.5-air
zai
In $0.2000 / 1M tokens
Out $1.1000 / 1M tokens
Output: unknown
Function callingTool choice
N/A
Same provider
Overall 25%
gpt-3.5-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 25%
gpt-35-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 25%
glm-4.5
zai
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
Output: unknown
Function callingTool choice
N/A
Same provider
Overall 25%
glm-4.5-airx
zai
In $1.1000 / 1M tokens
Out $4.5000 / 1M tokens
Output: unknown
Function callingTool choice
N/A
Same provider
Overall 25%
gpt-35-turbo-16k-0613
Azure
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 25%
glm-4.5-x
zai
In $2.2000 / 1M tokens
Out $8.9000 / 1M tokens
Output: unknown
Function callingTool choice
N/A
Same provider
Overall 25%
gpt-4
Azure
In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 25%
gpt-4-0613
Azure
In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 25%
glm-4.5v
zai
In $0.6000 / 1M tokens
Out $1.8000 / 1M tokens
Output: unknown
Function callingTool choice
N/A
Same provider
Overall 17%
llama3.2-3b-instruct
lambda_ai
In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function callingTool choice
131.1K
Partial I/O overlap
Overall 13%
llama3.2-11b-vision-instruct
lambda_ai
In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function callingTool choice
131.1K
Partial I/O overlap
Overall 10%
titan-embed-text-v2
vercel_ai_gateway
In $0.0200 / 1M tokens
Out N/A
text
Output: embedding
Low overlap
0
Partial I/O overlap
Overall 0%
paddleocr-vl
novita
In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
imagetext
Output: text
Low overlap
16.4K
Partial I/O overlap
Overall 0%
Qwen2.5-Coder-3B-Instruct
nscale
In $0.0100 / 1M tokens
Out $0.0300 / 1M tokens
Output: unknown
Low overlap
N/A
Partial I/O overlap
Overall 0%