glm-4.7-maas
vertex_ai-zai_models · chat model
glm-4.7-maas is listed here as a chat model from vertex_ai-zai_models. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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
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 |
|---|---|---|---|---|---|
| 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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-4.7-maas vertex_ai-zai_models | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-5 OpenRouter | In $0.8000 / 1M tokens Out $2.5600 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 128.0K | Partial I/O overlap Overall 56% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Partial I/O overlap Overall 55% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Partial I/O overlap Overall 55% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Partial I/O overlap Overall 55% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Partial I/O overlap Overall 55% |
| deepseek.v3.2 Bedrock | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Partial I/O overlap Overall 55% |
| eu.deepseek.v3.2 bedrock_converse | In $0.7400 / 1M tokens Out $2.2200 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 163.8K | Partial I/O overlap Overall 55% |
| 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 51% |
| GLM-4.6 Together AI | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 200.0K | Partial I/O overlap Overall 48% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 202.8K | Partial I/O overlap Overall 48% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 202.8K | Partial I/O overlap Overall 48% |
| glm-5-maas vertex_ai-zai_models | In $1.0000 / 1M tokens Out $3.2000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 128.0K | Same provider Overall 47% |
| Phi-4-reasoning azure_ai | In $0.1250 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 4.1K | Partial I/O overlap Overall 30% |
| 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.