stepfun · Open weights
Step 3.5 Flash 2603
Step 3.5 Flash 2603 is optimized for high-frequency agentic and coding workflows with improved token efficiency and faster reasoning. NOTE: This model runs via StepFun, which may log and train on your prompts.
- Reasoning
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.10
- Output
- $0.30
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 65.5K
- Average output (7 days)
- 3K tokens
- Longer than 96% of 465 models
Side by side
Step 3.5 Flash 2603 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Step 3.5 Flash 2603stepfunThis model | Step 3.7 Flash ThinkingstepfunRemove | |
|---|---|---|
| Provider | stepfun | stepfun |
| Discovery tier | Open weights | Open weights |
| Added | Apr 14, 2026 | May 29, 2026 |
| Limits | ||
| Context window | 262.14K | 262.14K |
| Max output | 65.54K | 256KBest |
| Average output | 3K tokens | 7.1K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.10Best | $0.20 |
| Output | $0.30Best | $1.15 |
| Cache read | — | $0.04 |
| Performance | ||
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 17.0 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | No | Yes |
| Vision | No | Yes |
| Structured output | No | Yes |
| Video input | No | Yes |
| Reasoning effort | — | none, low, medium, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Step 3.5 Flash 2603
- Step 3.7 Flash Thinking
Intelligence Index
- Step 3.5 Flash 260317.0
- Step 3.7 Flash Thinking—
Step 3.5 Flash 2603: Better than 45% of 326 scored models
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Step 3.5 Flash 2603: 63.0%
- Step 3.7 Flash Thinking: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Step 3.5 Flash 2603: 24.5%
- Step 3.7 Flash Thinking: —
GPQA Diamond
Graduate-level science questions
- Step 3.5 Flash 2603: 82.6%
- Step 3.7 Flash Thinking: —
IFBench
Following precise output instructions
- Step 3.5 Flash 2603: 66.5%
- Step 3.7 Flash Thinking: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Step 3.5 Flash 2603: 32.6%
- Step 3.7 Flash Thinking: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- Step 3.5 Flash 2603: 87.4%
- Step 3.7 Flash Thinking: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Step 3.5 Flash 2603: 63.0%
- Step 3.7 Flash Thinking: —
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 0.0%
- Request success (24h)
- 100.0%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "stepfun-ai/step-3.5-flash-2603",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="stepfun-ai/step-3.5-flash-2603",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)stepfun
Related models
Other stepfun models, starting with the same family.