Qwen3 Coder Next
Open-weight Qwen coding model for agents, repository edits, and multi-turn tool use
- Context
- 262K
- Released
- 8mo ago
- Parameters
- —
- Input / 1M tokens
- $0.12
- Output / 1M tokens
- $0.80
- Cached input / 1M tokens
- $0.07
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Qwen
- Model family
- Qwen
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- February 3, 2026
- Model ID
qwen/qwen3-coder-next- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Native context
- 256K
- Tokenizer
- Qwen
- Max output tokens
- 236K
- Knowledge cutoff
- 2025-09
- Hugging Face
- Qwen/Qwen3-Coder-Next
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Open-weight builds
Ollama variants
Every published Ollama tag matched to this model, including parameter editions, instruction/base variants, and quantized builds.
| Variant | Parameters | Type | Quantization | Size | Context | Input |
|---|---|---|---|---|---|---|
| qwen3-coder-next:latest | — | — | Q4_K_M | 52 GB | 256K | text |
| qwen3-coder-next:q8_0 | — | — | Q8_0 | 85 GB | 256K | text |
Additional source evidence
- Source model
- alibaba/qwen3-coder-next
- Source family
- qwen
- Last updated
- 2026-02-03
- Knowledge cutoff
- 2025-09
- Model context
- 262K
- Model output limit
- 66K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Downloadable weights
Complete source record (JSON)
{
"id": "alibaba/qwen3-coder-next",
"name": "Qwen3 Coder Next",
"description": "Open-weight Qwen coding model for agents, repository edits, and multi-turn tool use",
"family": "qwen",
"last_updated": "2026-02-03",
"knowledge": "2025-09",
"attachment": false,
"reasoning": false,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 262144,
"output": 65536
},
"release_date": "2026-02-03",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/Qwen/Qwen3-Coder-Next"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| parasail/bf16 | 262K | $0.12 | $0.80 | $0.07 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.