qwen.qwen3-next-80b-a3b
bedrock_converse · chat model
Input
$0.1500 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
8.2K
Pricing
| Item | Raw value (per token) | Normalized |
|---|---|---|
| Input | 1.5e-7 | $0.1500 / 1M tokens |
| Output | 0.0000012 | $1.2000 / 1M tokens |
| Embedding | 1.5e-7 | $0.1500 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
128.0K
Max output tokens
8.2K
Max tokens
8.2K
Capabilities
| Capability | Supported |
|---|---|
| Vision | No |
| Function calling | Yes |
| Parallel function calling | No |
| Tool choice | No |
| Prompt caching | No |
| Reasoning | No |
| Response schema | No |
| 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-next-80b-a3b-instruct | dashscope | $0.1500 / 1M tokens | $1.2000 / 1M tokens | 65.5K | N/A | Tools |
| qwen3-next-80b-a3b-thinking | dashscope | $0.1500 / 1M tokens | $1.2000 / 1M tokens | 65.5K | N/A | Tools Reasoning |
| qwen3-next-80b-a3b-instruct-maas | vertex_ai-qwen_models | $0.1500 / 1M tokens | $1.2000 / 1M tokens | 262.1K | N/A | Tools |
| qwen3-next-80b-a3b-thinking-maas | vertex_ai-qwen_models | $0.1500 / 1M tokens | $1.2000 / 1M tokens | 262.1K | N/A | Tools |
| gpt-5.4-nano | azure_ai | $0.2000 / 1M tokens | $1.2500 / 1M tokens | 128.0K | N/A | Vision Tools Cache Reasoning |
| gpt-5.4-nano-2026-03-17 | azure_ai | $0.2000 / 1M tokens | $1.2500 / 1M tokens | 128.0K | N/A | Vision Tools Cache Reasoning |
Sources
| Pricing source | LiteLLM model cost map |
| Synced at | 2026-05-27 |
| Manual review | Not reviewed |
Raw LiteLLM fields
{
"input_cost_per_token": 1.5e-7,
"litellm_provider": "bedrock_converse",
"max_input_tokens": 128000,
"max_output_tokens": 8192,
"max_tokens": 8192,
"mode": "chat",
"output_cost_per_token": 0.0000012,
"supports_function_calling": true,
"supports_system_messages": true,
"supports_native_structured_output": true
}