qwen3-235b-a22b-instruct-2507
novita · chat model
Input
$0.0900 / 1M tokens
Output
$0.5800 / 1M tokens
Cached input
N/A
Context
16.4K
Pricing
| Item | Raw value (per token) | Normalized |
|---|---|---|
| Input | 9e-8 | $0.0900 / 1M tokens |
| Output | 5.8e-7 | $0.5800 / 1M tokens |
| Embedding | 9e-8 | $0.0900 / 1M tokens |
Token limits
Context window
16.4K
Max input tokens
131.1K
Max output tokens
16.4K
Max tokens
16.4K
Capabilities
| Capability | Supported |
|---|---|
| Vision | No |
| 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 |
|---|---|---|---|---|---|---|
| Qwen3-235B-A22B-Instruct-2507 | deepinfra | $0.0900 / 1M tokens | $0.6000 / 1M tokens | 262.1K | N/A | Tools |
| qwen3-235b-a22b-thinking-2507 | OpenRouter | $0.1100 / 1M tokens | $0.6000 / 1M tokens | 262.1K | N/A | Tools Reasoning |
| ernie-4.5-vl-28b-a3b | novita | $0.1400 / 1M tokens | $0.5600 / 1M tokens | 8.0K | N/A | Vision Tools Reasoning |
| gpt-oss-120b | azure_ai | $0.1500 / 1M tokens | $0.6000 / 1M tokens | 131.1K | N/A | Tools |
| gpt-4o-mini | Azure | $0.1500 / 1M tokens | $0.6000 / 1M tokens | 16.4K | N/A | Vision Tools |
| Phi-3-small-128k-instruct | azure_ai | $0.1500 / 1M tokens | $0.6000 / 1M tokens | 4.1K | N/A |
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": 9e-8,
"output_cost_per_token": 5.8e-7,
"max_input_tokens": 131072,
"max_output_tokens": 16384,
"max_tokens": 16384,
"supports_function_calling": true,
"supports_parallel_function_calling": true,
"supports_tool_choice": true,
"supports_system_messages": true,
"supports_response_schema": true
}