glm-4.5
zai · chat model
glm-4.5 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
$0.6000 / 1M tokens
Output
$2.2000 / 1M tokens
Cached input
N/A
Context
N/A
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 | $0.6000 / 1M tokens |
| Output | $2.2000 / 1M tokens |
| Embedding | $0.6000 / 1M tokens |
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 zai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-4.5 vercel_ai_gateway | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 45% |
| kimi-k2 vercel_ai_gateway | In $0.5500 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choice | 16.4K | Partial I/O overlap Overall 44% |
| DeepSeek-R1-0528 deepinfra | In $0.5000 / 1M tokens Out $2.1500 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Partial I/O overlap Overall 43% |
| DeepSeek-R1 deepinfra | In $0.7000 / 1M tokens Out $2.4000 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Partial I/O overlap Overall 43% |
| Kimi-K2-Instruct deepinfra | In $0.5000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 43% |
| Kimi-K2-Instruct-0905 deepinfra | In $0.5000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Partial I/O overlap Overall 43% |
| 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 40% |
| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
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| 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 36% |
| 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 35% |
| glm-4.5v zai | In $0.6000 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Same provider Overall 35% |
| 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 34% |
| 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 33% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choice | 202.8K | Partial I/O overlap Overall 33% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choice | 202.8K | Partial I/O overlap Overall 33% |
| GLM-4.6 Together AI | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choice | 200.0K | Partial I/O overlap Overall 33% |
| glm-4.7 zai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Same provider Overall 33% |
| glm-4.6 zai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Same provider Overall 33% |
| 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 30% |
| 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 26% |
| 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 26% |
| GLM-4.7 baseten | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 20% |
| GLM-4.6 baseten | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 20% |
No models match this filter.