glm-4.5v
zai · chat model
glm-4.5v 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
$1.8000 / 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 | $1.8000 / 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-4.5v zai | In $0.6000 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | N/A | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral-large-3 azure_ai | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 8.2K | Partial I/O overlap Overall 42% |
| mistral-large-2512 OpenRouter | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | fileimage
Output: text | VisionFunction callingTool choice | 262.1K | Partial I/O overlap Overall 42% |
| qwen3-vl-235b-a22b-instruct dashscope | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 32.8K | Partial I/O overlap Overall 41% |
| Llama-4-Maverick-17B-128E-Instruct sambanova | In $0.6300 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 131.1K | Partial I/O overlap Overall 38% |
| kimi-latest-8k moonshot | In $0.2000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 8.2K | Partial I/O overlap Overall 38% |
| moonshot-v1-8k-vision-preview moonshot | In $0.2000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | VisionFunction callingTool choice | 8.2K | Partial I/O overlap Overall 38% |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Partial I/O overlap Overall 37% |
| glm-4.5 zai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Same provider Overall 35% |
| Llama-3.2-11B-Vision-Instruct azure_ai | In $0.3700 / 1M tokens Out $0.3700 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Partial I/O overlap Overall 33% |
| Llama-4-Scout-17B-16E-Instruct azure_ai | In $0.2000 / 1M tokens Out $0.7800 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Partial I/O overlap Overall 33% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Partial I/O overlap Overall 32% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choice | 163.8K | Partial I/O overlap Overall 32% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 azure_ai | In $1.4100 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Partial I/O overlap Overall 31% |
| glm-4.5v novita | In $0.6000 / 1M tokens Out $1.8000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Partial I/O overlap Overall 31% |
| Llama-3.1-Nemotron-Ultra-253B-v1 nebius | In $0.6000 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 28% |
| mistral-small-2503 azure_ai | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 128.0K | Partial I/O overlap Overall 28% |
| glm-4.7 zai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Same provider Overall 28% |
| glm-4.6 zai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Same provider Overall 28% |
| 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 26% |
| 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 26% |
| glm-5 zai | In $1.0000 / 1M tokens Out $3.2000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Same provider Overall 22% |
| sonar-medium-chat perplexity | In $0.6000 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 20% |
No models match this filter.