qwen3-vl-30b-a3b-instruct
novita · chat model
Input
$0.2000 / 1M tokens
Output
$0.7000 / 1M tokens
Cached input
N/A
Context
32.8K
Pricing
| Item | Raw value (per token) | Normalized |
|---|---|---|
| Input | 2e-7 | $0.2000 / 1M tokens |
| Output | 7e-7 | $0.7000 / 1M tokens |
| Embedding | 2e-7 | $0.2000 / 1M tokens |
Token limits
Context window
32.8K
Max input tokens
131.1K
Max output tokens
32.8K
Max tokens
32.8K
Capabilities
| Capability | Supported |
|---|---|
| Vision | Yes |
| Function calling | Yes |
| Parallel function calling | Yes |
| Tool choice | Yes |
| Prompt caching | No |
| Reasoning | No |
| Response schema | Yes |
| System messages | Yes |
| 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 |
|---|---|---|---|---|---|---|
| gpt-oss-120b | replicate | $0.1800 / 1M tokens | $0.7200 / 1M tokens | N/A | N/A | Tools |
| Phi-3-medium-128k-instruct | azure_ai | $0.1700 / 1M tokens | $0.6800 / 1M tokens | 4.1K | N/A | |
| Phi-3-medium-4k-instruct | azure_ai | $0.1700 / 1M tokens | $0.6800 / 1M tokens | 4.1K | N/A | |
| meta.llama4-scout-17b-instruct-v1:0 | bedrock_converse | $0.1700 / 1M tokens | $0.6600 / 1M tokens | 4.1K | N/A | Tools |
| us.meta.llama4-scout-17b-instruct-v1:0 | bedrock_converse | $0.1700 / 1M tokens | $0.6600 / 1M tokens | 4.1K | N/A | Tools |
| llama-4-scout-17b-128e-instruct-maas | vertex_ai-llama_models | $0.2500 / 1M tokens | $0.7000 / 1M tokens | 10.0M | N/A | Tools |
Sources
| Pricing source | LiteLLM model cost map |
| Synced at | 2026-05-27 |
| Manual review | Not reviewed |
Raw LiteLLM fields
{
"litellm_provider": "novita",
"mode": "chat",
"input_cost_per_token": 2e-7,
"output_cost_per_token": 7e-7,
"max_input_tokens": 131072,
"max_output_tokens": 32768,
"max_tokens": 32768,
"supports_function_calling": true,
"supports_parallel_function_calling": true,
"supports_tool_choice": true,
"supports_vision": true,
"supports_system_messages": true,
"supports_response_schema": true
}