# Qwen3 Coder Next

Qwen3 Coder Next costs $0.108 per 1M input tokens and $0.675 per 1M output tokens on LLM API, with a 262K-token context window.

Model ID: `qwen3-coder-next` · Alibaba · Text generation · Released August 1, 2025
Updated: 2026-10-13
Canonical: https://llmapi.ai/models/qwen-qwen3-coder-next/

- Input: $0.108 per 1M tokens
- Output: $0.675 per 1M tokens
- Cache read: $0.06 per 1M tokens
- Context: 262K tokens
- Max output: 4K tokens

## Pricing

Lowest price among 2 providers, after discounts.

| Price | Amount | Per |
| --- | --- | --- |
| Input | $0.108 | per 1M tokens |
| Output | $0.675 | per 1M tokens |
| Cache read | $0.06 | per 1M tokens |

**Volume pricing.** At higher monthly volume, Qwen3 Coder Next may cost less. Book a call and sales will quote a price for your usage. [Book a call with sales](https://meetings.hubspot.com/julia-andriienko/llmapi) or [Create an account first](https://app.llmapi.ai/signup).

## Providers

Prices after each provider’s discount; the lowest in bold.

| Provider | Input / 1M | Output / 1M | Cache read / 1M | Context | Max output |
| --- | --- | --- | --- | --- | --- |
| [AWS Bedrock](https://llmapi.ai/providers/amazon-bedrock/) | $0.108 | $0.675 | $0.06 | 262K | 4K |
| [EmberCloud](https://llmapi.ai/providers/embercloud/) | $0.108 | $0.675 | $0.06 | 262K | 4K |

## Features

“Some providers”: not every provider of this model supports it.

- Tools: Yes
- Parallel tool calls: No
- Image input: No
- Reasoning: Some providers
- Prompt caching: Yes
- Structured outputs: Yes
- JSON mode: Yes
- Streaming: Yes
- Web search: No

## Call Qwen3 Coder Next

### Chat Completions (`POST /v1/chat/completions`)

Set LLMAPI_KEY to your LLM API key.

```python
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

response = client.chat.completions.create(
    model="qwen3-coder-next",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
```

Docs: [Chat Completions docs](https://docs.llmapi.ai/api/v1/chat/completions)

### Responses (`POST /v1/responses`)

Set LLMAPI_KEY to your LLM API key.

```python
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

response = client.responses.create(
    model="qwen3-coder-next",
    input="Hello",
)
print(response.output_text)
```

Docs: [Responses docs](https://docs.llmapi.ai/api/v1/responses)

## More from Alibaba

- [Qwen 3.8 Max](https://llmapi.ai/models/alibaba-qwen3-8-max/): $1.7 / $5.1 per 1M input / output
- [Qwen3.8 Flash Next](https://llmapi.ai/models/alibaba-qwen3-8-flash-next/): $0.201 / $0.5 per 1M input / output
- [Qwen3.8 27B](https://llmapi.ai/models/qwen-qwen3-8-27b/): $0.35 / $2.1 per 1M input / output

Prices synced 2026-11-03.

Next step: [Get API key](https://app.llmapi.ai/signup)