StepFun flash model for efficient multimodal reasoning, coding, and tool use
- Context
- 256K
- Released
- 6mo ago
- Parameters
- —
Sources:models.dev
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
- Stepfun
- Model family
- Step
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- April 2, 2026
- Model ID
stepfun/step-3.5-flash-2603- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Max output tokens
- 256K
- Knowledge cutoff
- 2025-01
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- stepfun/step-3.5-flash-2603
- Last updated
- 2026-04-02
- Knowledge cutoff
- 2025-01
- Model context
- 256K
- Maximum input
- 256K
- Model output limit
- 256K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Published benchmarks
Complete source record (JSON)
{
"id": "stepfun/step-3.5-flash-2603",
"name": "Step 3.5 Flash 2603",
"description": "StepFun flash model for efficient multimodal reasoning, coding, and tool use",
"last_updated": "2026-04-02",
"knowledge": "2025-01",
"attachment": false,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 256000,
"input": 256000,
"output": 256000
},
"benchmarks": [
{
"name": "Artificial Analysis Coding Index",
"score": 34.6,
"source": "https://openrouter.ai/stepfun/step-3.5-flash/benchmarks",
"metric": "index",
"date": "2026-06-02"
},
{
"name": "SciCode",
"score": 38.5,
"source": "https://openrouter.ai/stepfun/step-3.5-flash/benchmarks",
"metric": "percent correct",
"date": "2026-06-02"
},
{
"name": "Terminal-Bench Hard",
"score": 32.6,
"source": "https://openrouter.ai/stepfun/step-3.5-flash/benchmarks",
"metric": "success rate",
"date": "2026-06-02"
}
],
"release_date": "2026-04-02",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/stepfun-ai/Step-3.5-Flash"
}
]
}Infrastructure
Provider availability
Provider endpoint data will appear after this model's first OpenRouter endpoint sync.
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.