Qwen3 Coder 30B A3B Instruct
Smaller Qwen coder for efficient local agents and repo-level fixes
- Context
- 262K
- Released
- 1y ago
- Parameters
- 30B
- Input / 1M tokens
- $0.07
- Output / 1M tokens
- $0.28
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
- April 1, 2025
- Model ID
qwen/qwen3-coder-30b-a3b-instruct- Openness
- Open weights
- License
- —
- Parameters
- 30B
- 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-Coder-30B-A3B-Instruct
- 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:30b-a3b-fp16 | 30B | — | FP16 | 61 GB | 256K | text |
| qwen3-coder:latest | 30B | — | Q4_K_M | 19 GB | 256K | text |
| qwen3-coder:30b-a3b-q8_0 | 30B | — | Q8_0 | 32 GB | 256K | text |
| qwen3-coder:480b-a35b-fp16 | 480B | — | FP16 | 960 GB | 256K | text |
| qwen3-coder:480b | 480B | — | Q4_K_M | 290 GB | 256K | text |
| qwen3-coder:480b-a35b-q8_0 | 480B | — | Q8_0 | 510 GB | 256K | text |
Additional source evidence
- Source model
- alibaba/qwen3-coder-30b-a3b-instruct
- Source family
- qwen
- Last updated
- 2025-04
- Knowledge cutoff
- 2025-04
- Model context
- 262K
- Model output limit
- 66K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Published benchmarks
Complete source record (JSON)
{
"id": "alibaba/qwen3-coder-30b-a3b-instruct",
"name": "Qwen3-Coder 30B-A3B Instruct",
"description": "Smaller Qwen coder for efficient local agents and repo-level fixes",
"family": "qwen",
"last_updated": "2025-04",
"knowledge": "2025-04",
"attachment": false,
"reasoning": false,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 262144,
"output": 65536
},
"benchmarks": [
{
"name": "Artificial Analysis Coding Index",
"score": 19.4,
"source": "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks",
"metric": "index",
"date": "2026-06-02"
},
{
"name": "SciCode",
"score": 27.8,
"source": "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks",
"metric": "percent correct",
"date": "2026-06-02"
},
{
"name": "Terminal-Bench Hard",
"score": 15.2,
"source": "https://openrouter.ai/qwen/qwen3-coder-30b-a3b-instruct/benchmarks",
"metric": "success rate",
"date": "2026-06-02"
}
],
"release_date": "2025-04",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| siliconflow/fp8 | 262K | $0.07 | $0.28 | — | — | 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.