Moduck

StepFun (China): Step 3.5 Flash

StepFun flash lane for quick multimodal reasoning and coding assistance

Model lab
StepFun (China)
Model family
—

Model resources

Modalitiestext → text
Context window256,000
Maximum output256,000
InputUSD 0.072 / 1M tokens
OutputUSD 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.

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"

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 API Pricing

TypePrice information
InputUSD 0.072 / 1M tokens
OutputUSD 0.24 / 1M tokens
Cached inputUSD 0.016 / 1M tokens

Benchmarks

BenchmarkScoreMeasurementSource
Artificial Analysis Coding Index31.6index · Date: 2026-06-02
SciCode40.4percent correct · Date: 2026-06-02
Terminal-Bench Hard27.3success rate · Date: 2026-06-02
SWE-Bench Verified74.4resolved

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.

Performance trends

Throughput89.0 tok/sCurrent
Time to first token1.4 sCurrent
End-to-end latency8.1 sCurrent
Throughput
Current89.0 tok/s
Window average89.2 tok/s
Time to first token
Current1.4 s
Window average1.4 s
End-to-end latency
Current8.1 s
Window average7.5 s
Tail latency (P99)
Current13.1 s
Window average16.8 s
Prompt cache hit rate
Current31.2%
Window average22.5%
Error rate
Current0.0%
Window average0.2%

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 Compare models

ModelInput priceOutput priceContext windowCapabilities
Step 3.5 FlashThis pageUSD 0.072 / 1M tokensUSD 0.24 / 1M tokens256,000Text output · Reasoning · Tool calling
Step 3.5 Flash 2603USD 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
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
2026-01-29
Attachments
No
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Step 3.5 Flash for?

StepFun flash lane for quick multimodal reasoning and coding assistance

What inputs and outputs does Step 3.5 Flash support?

Recorded inputs: text; outputs: text.

How is Step 3.5 Flash priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.072 / 1M tokens; Output USD 0.24 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Step 3.5 Flash?

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. 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.