GLM-4.7
Together AI · chat model
Input
$0.4500 / 1M tokens
Output
$2.0000 / 1M tokens
Cached input
N/A
Context
200.0K
Pricing
| Item | Raw value (per token) | Normalized |
|---|---|---|
| Input | 4.5e-7 | $0.4500 / 1M tokens |
| Output | 0.000002 | $2.0000 / 1M tokens |
| Embedding | 4.5e-7 | $0.4500 / 1M tokens |
Token limits
Context window
200.0K
Max input tokens
200.0K
Max output tokens
200.0K
Max tokens
200.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | No |
| Function calling | Yes |
| Parallel function calling | Yes |
| Tool choice | Yes |
| Prompt caching | No |
| Reasoning | Yes |
| Response schema | No |
| System messages | No |
| Audio input | No |
| Audio output | No |
| Web search | No |
| PDF input | No |
| Video input | No |
Similar models
Models with comparable pricing in the same mode (chat).
| Model | Provider | Input | Output | Context | Coding | Features |
|---|---|---|---|---|---|---|
| mistral-medium-2505 | azure_ai | $0.4000 / 1M tokens | $2.0000 / 1M tokens | 8.2K | N/A | Tools |
| GLM-4.7-FP8 | gmi | $0.4000 / 1M tokens | $2.0000 / 1M tokens | 16.4K | N/A | |
| mistral.devstral-2-123b | bedrock_converse | $0.4000 / 1M tokens | $2.0000 / 1M tokens | 8.2K | N/A | Tools |
| devstral-medium-2507 | Mistral | $0.4000 / 1M tokens | $2.0000 / 1M tokens | 128.0K | N/A | Tools |
| devstral-latest | Mistral | $0.4000 / 1M tokens | $2.0000 / 1M tokens | 256.0K | N/A | Tools |
| devstral-medium-latest | Mistral | $0.4000 / 1M tokens | $2.0000 / 1M tokens | 256.0K | N/A | Tools |
Sources
| Pricing source | LiteLLM model cost map |
| Synced at | 2026-05-27 |
| Manual review | Not reviewed |
Raw LiteLLM fields
{
"input_cost_per_token": 4.5e-7,
"litellm_provider": "together_ai",
"max_input_tokens": 200000,
"max_output_tokens": 200000,
"max_tokens": 200000,
"mode": "chat",
"output_cost_per_token": 0.000002,
"source": "https://www.together.ai/models/glm-4-7",
"supports_function_calling": true,
"supports_parallel_function_calling": true,
"supports_reasoning": true,
"supports_tool_choice": true
}