DeepSeek-V3.1
deepinfra · chat model
Input
$0.2700 / 1M tokens
Output
$1.0000 / 1M tokens
Cached input
$0.2160 / 1M tokens
Context
163.8K
Pricing
| Item | Raw value (per token) | Normalized |
|---|---|---|
| Input | 2.7e-7 | $0.2700 / 1M tokens |
| Output | 0.000001 | $1.0000 / 1M tokens |
| Cached input | 2.16e-7 | $0.2160 / 1M tokens |
| Embedding | 2.7e-7 | $0.2700 / 1M tokens |
Token limits
Context window
163.8K
Max input tokens
163.8K
Max output tokens
163.8K
Max tokens
163.8K
Capabilities
| Capability | Supported |
|---|---|
| Vision | No |
| Function calling | Yes |
| Parallel function calling | No |
| 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 |
|---|---|---|---|---|---|---|
| DeepSeek-V3.1-Terminus | deepinfra | $0.2700 / 1M tokens | $1.0000 / 1M tokens | 163.8K | N/A | Tools |
| deepseek-v3.1-terminus | novita | $0.2700 / 1M tokens | $1.0000 / 1M tokens | 32.8K | N/A | Tools Reasoning |
| deepseek-v3.1 | novita | $0.2700 / 1M tokens | $1.0000 / 1M tokens | 32.8K | N/A | Tools Reasoning |
| mercury-coder-small | vercel_ai_gateway | $0.2500 / 1M tokens | $1.0000 / 1M tokens | 16.4K | N/A | |
| qwen3-235b-a22b-instruct-2507-maas | vertex_ai-qwen_models | $0.2500 / 1M tokens | $1.0000 / 1M tokens | 16.4K | N/A | Tools |
| minimax-m2 | OpenRouter | $0.2550 / 1M tokens | $1.0200 / 1M tokens | 204.8K | N/A | Tools Cache Reasoning |
Sources
| Pricing source | LiteLLM model cost map |
| Synced at | 2026-05-27 |
| Manual review | Not reviewed |
Raw LiteLLM fields
{
"max_tokens": 163840,
"max_input_tokens": 163840,
"max_output_tokens": 163840,
"input_cost_per_token": 2.7e-7,
"output_cost_per_token": 0.000001,
"cache_read_input_token_cost": 2.16e-7,
"litellm_provider": "deepinfra",
"mode": "chat",
"supports_tool_choice": true,
"supports_reasoning": true,
"supports_function_calling": true
}