LLM Pricing
← All models

GLM-4.5

deepinfra · chat model

GLM-4.5 is listed here as a chat model from deepinfra. 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
$1.6000 / 1M tokens
Cached input
N/A
Context
131.1K
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
$1.6000 / 1M tokens
Embedding
$0.4000 / 1M tokens

Token limits

Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K

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

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-4.5
deepinfra
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
Kimi-K2-Instruct
deepinfra
In $0.5000 / 1M tokens
Out $2.0000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 96%
glm-4.5
vercel_ai_gateway
In $0.6000 / 1M tokens
Out $2.2000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Text covered
Overall 94%
qwen3-coder
vercel_ai_gateway
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
66.5K
Text covered
Overall 93%
Qwen3-Coder-480B-A35B-Instruct
deepinfra
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: text
Function callingTool choice
262.1K
Same provider
Overall 93%
DeepSeek-R1-0528
deepinfra
In $0.5000 / 1M tokens
Out $2.1500 / 1M tokens
text
Output: text
Function callingTool choice
163.8K
Same provider
Overall 92%
Meta-Llama-3.1-70B-Instruct
deepinfra
In $0.4000 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 92%
DeepSeek-V3
deepinfra
In $0.3800 / 1M tokens
Out $0.8900 / 1M tokens
text
Output: text
Function callingTool choice
163.8K
Same provider
Overall 92%
Hermes-3-Llama-3.1-405B
deepinfra
In $1.0000 / 1M tokens
Out $1.0000 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Same provider
Overall 90%
gpt-3.5-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 83%
gpt-35-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 83%
gpt-3.5-turbo
vercel_ai_gateway
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 83%
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
Text covered
Overall 75%
Phi-4
azure_ai
In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choice
16.4K
Text covered
Overall 73%
mistral-medium-2505
azure_ai
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text image
Output: text
Function callingTool choice
8.2K
Text covered
Overall 72%
gpt-35-turbo-16k-0613
Azure
In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 71%
gpt-4-0613
Azure
In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Text covered
Overall 66%
gpt-4.1-mini
Azure
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text image
Output: text
Function callingTool choice
32.8K
Text covered
Overall 59%
gpt-4.1-mini-2025-04-14
Azure
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text image
Output: text
Function callingTool choice
32.8K
Text covered
Overall 59%
GPT-4.1 mini
OpenAI
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text imagepdf
Output: text
Function callingTool choice
32.8K
Text covered
Overall 57%
gpt-4.1-mini-2025-04-14
OpenAI
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text imagepdf
Output: text
Function callingTool choice
32.8K
Text covered
Overall 57%
qwen3-vl-235b-a22b-instruct
dashscope
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
text
Output: unknown
Function callingTool choice
32.8K
Partial I/O overlap
Overall 40%
Missing text