Qwen3 Next 80B A3B Thinking
Efficient Qwen thinking model for local reasoning, math, and coding agents
- Context
- 262K
- Released
- 1y ago
- Parameters
- 80B
- Input / 1M tokens
- $0.15
- Output / 1M tokens
- $1.20
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
- September 1, 2025
- Model ID
qwen/qwen3-next-80b-a3b-thinking- Openness
- Open weights
- License
- —
- Parameters
- 80B
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Native context
- 256K
- Tokenizer
- Qwen3
- Max output tokens
- 236K
- Knowledge cutoff
- 2025-04
- Hugging Face
- Qwen/Qwen3-Next-80B-A3B-Thinking
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- alibaba/qwen3-next-80b-a3b-thinking
- Source family
- qwen
- Last updated
- 2025-09
- Knowledge cutoff
- 2025-04
- Model context
- 131K
- Model output limit
- 33K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Complete source record (JSON)
{
"id": "alibaba/qwen3-next-80b-a3b-thinking",
"name": "Qwen3-Next 80B-A3B (Thinking)",
"description": "Efficient Qwen thinking model for local reasoning, math, and coding agents",
"family": "qwen",
"last_updated": "2025-09",
"knowledge": "2025-04",
"attachment": false,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 131072,
"output": 32768
},
"release_date": "2025-09",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| google-vertex/global | 262K | $0.15 | $1.20 | — | — | 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.