zai-glm-4.7
cerebras · chat model
zai-glm-4.7 is listed here as a chat model from cerebras. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$2.2500 / 1M tokens
Output
$2.7500 / 1M tokens
Cached input
N/A
Context
128.0K
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 | $2.2500 / 1M tokens |
| Output | $2.7500 / 1M tokens |
| Embedding | $2.2500 / 1M tokens |
Token limits
Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K
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 |
|---|---|---|---|---|---|
| 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 |
|---|---|---|---|---|---|
| zai-glm-4.7 cerebras | In $2.2500 / 1M tokens Out $2.7500 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| zai-glm-4.6 cerebras | In $2.2500 / 1M tokens Out $2.7500 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 128.0K | Same provider Overall 60% |
| 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 53% |
| gpt-oss-120b sambanova | In $3.0000 / 1M tokens Out $4.5000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 131.1K | Partial I/O overlap Overall 53% |
| 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 | Partial I/O overlap Overall 51% |
| databricks-claude-3-7-sonnet databricks | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 128.0K | Partial I/O overlap Overall 49% |
| 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 49% |
| 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 49% |
| 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 49% |
| 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 49% |
| 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 49% |
| qwen-3-32b cerebras | In $0.4000 / 1M tokens Out $0.8000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 128.0K | Same provider Overall 45% |
| DeepSeek-V3-0324 sambanova | In $3.0000 / 1M tokens Out $4.5000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 32.8K | Partial I/O overlap Overall 42% |
| DeepSeek-V3.1 sambanova | In $3.0000 / 1M tokens Out $4.5000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 32.8K | Partial I/O overlap Overall 42% |
| llama-3.3-70b cerebras | In $0.8500 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 40% |
| qwq-plus dashscope | In $0.8000 / 1M tokens Out $2.4000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 8.2K | Partial I/O overlap Overall 39% |
| llama3.1-70b cerebras | In $0.6000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 36% |
| llama3.1-8b cerebras | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 32% |
| Kimi-K2-Thinking crusoe | In $2.5000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | Reasoning | 262.1K | Partial I/O overlap Overall 32% |
| llama-v3p1-405b-instruct fireworks_ai | In $3.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choice | 16.4K | Partial I/O overlap Overall 31% |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
Output: text | Function callingTool choice | 2.0K | Partial I/O overlap Overall 29% |
| 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 28% |
| gemini-2.5-flash replicate | In $2.5000 / 1M tokens Out $2.5000 / 1M tokens | audioimage
Output: text | Function callingTool choice | N/A | Partial I/O overlap Overall 25% |
| gpt-oss-120b cerebras | In $0.3500 / 1M tokens Out $0.7500 / 1M tokens |
Output: unknown | Function callingTool choiceReasoning | 32.8K | Same provider Overall 23% |
| meta.llama2-70b-chat-v1 Bedrock | In $1.9500 / 1M tokens Out $2.5600 / 1M tokens | text
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 19% |
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