Moduck

StepFun (China): Step 3.5 Flash 2603

StepFun flash model for efficient multimodal reasoning, coding, and tool use

Model lab
StepFun (China)
Model family
—

Model resources

Modalitiestext → text
Context window256,000
Maximum output256,000
Input · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokensUSD 0.08 / 1M tokens
Output · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokensUSD 0.24 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to stepfun/step-3.5-flash-2603.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "stepfun/step-3.5-flash-2603"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Step 3.5 Flash 2603 API Pricing

TypePrice information
Input · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokensUSD 0.08 / 1M tokens
Output · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokensUSD 0.24 / 1M tokens
Cached input · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokensUSD 0.016 / 1M tokens

Benchmarks

Intelligence Index · v4.317
Coding Index—
Agentic Index—
BenchmarkScoreMeasurementSource
Artificial Analysis Coding Index34.6index · Date: 2026-06-02
SciCode38.5percent correct · Date: 2026-06-02
Terminal-Bench Hard32.6success rate · Date: 2026-06-02

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Artificial Analysis measurement

Output speed132.81 tokens/s
Time to first token3.28 s
Time to first answer token—
End-to-end response time—

Performance trends

Throughput132.81 tok/sCurrent
Time to first token3.28 sCurrent
End-to-end latency7.5 sCurrent
Throughput
Current132.81 tok/s
Window average128.3 tok/s
Time to first token
Current3.28 s
Window average3.2 s
End-to-end latency
Current7.5 s
Window average7.5 s
Tail latency (P99)
Current14.6 s
Window average16.8 s
Prompt cache hit rate
Current26.5%
Window average24.7%
Error rate
Current0.7%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Step 3.5 Flash 2603 Compare models

ModelInput priceOutput priceContext windowCapabilities
Step 3.5 Flash 2603This pageUSD 0.08 / 1M tokens · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokensUSD 0.24 / 1M tokens · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokens256,000Text output · Reasoning · Tool calling
Step 3.5 FlashUSD 0.072 / 1M tokensUSD 0.24 / 1M tokens256,000Text output · Reasoning · Tool calling
Beam 1.0 501B A23BUSD 0.2 / 1M tokensUSD 0.8 / 1M tokens1,048,576Text output · Reasoning · Tool calling
Ling 3.1 FlashUSD 0.06 / 1M tokensUSD 0.176 / 1M tokens262,144Text output · Reasoning · Tool calling
Schematron V2 SmallUSD 0.04 / 1M tokensUSD 0.184 / 1M tokens128,000Text output

Model specifications

Input
text
Output
text
Context window
256,000
Maximum input
256,000
Maximum output
256,000
Release date
2026-04-02
Attachments
No
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Step 3.5 Flash 2603 for?

StepFun flash model for efficient multimodal reasoning, coding, and tool use

What inputs and outputs does Step 3.5 Flash 2603 support?

Recorded inputs: text; outputs: text.

How is Step 3.5 Flash 2603 priced?

The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokens USD 0.08 / 1M tokens; Output · Context ≤ 256000 tokens · Maximum output 131072 tokens · Maximum input 256000 tokens USD 0.24 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Step 3.5 Flash 2603?

Current model records list Context window 256,000 tokens; Maximum output 256,000 tokens.

What model parameter does the Quickstart use?

The example uses stepfun/step-3.5-flash-2603. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.