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stepfun · Open weights

Step 3.5 Flash

Added Feb 2, 2026Open weights

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Use in the app

StepFun's most capable open-source reasoning model with visible reasoning traces. Built on a sparse Mixture-of-Experts architecture with 196B total parameters and only 11B active per token, it achieves frontier-level performance in math, logic, and agentic coding while reaching up to 350 tokens/sec. Supports 256K context. 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)
2.4K tokens
Longer than 94% of 468 models

Side by side

Step 3.5 Flash compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Step 3.5 FlashstepfunThis modelDeepSeek V3.2 Exp ThinkingDeepSeekRemove
ProviderstepfunDeepSeek
Discovery tierOpen weightsOpen weights
AddedFeb 2, 2026Jan 1, 2024
Limits
Context window262.14KBest163.84K
Max output65.54K65.54K
Average output2.4K tokens917 tokens
Pricing, USD per 1M tokens
Input$0.10Best$0.28
Output$0.30Best$0.42
Performance
Throughput—11.0 tok/s
Time to first token—6.1 s
Request success (24h)100.0%100.0%
Benchmark indexes
Intelligence Index16.616.6
Math Index—87.7
Capabilities
ReasoningYesYes
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Step 3.5 Flash
  • DeepSeek V3.2 Exp Thinking

Intelligence Index

  • Step 3.5 Flash16.6
  • DeepSeek V3.2 Exp Thinking16.6

Step 3.5 Flash: Better than 43% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Step 3.5 Flash: —
    • DeepSeek V3.2 Exp Thinking: 87.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Step 3.5 Flash: 50.0%
    • DeepSeek V3.2 Exp Thinking: 72.3%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Step 3.5 Flash: 21.1%Top
    • DeepSeek V3.2 Exp Thinking: 14.9%

  • GPQA Diamond

    Graduate-level science questions

    • Step 3.5 Flash: 83.1%Top
    • DeepSeek V3.2 Exp Thinking: 79.7%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Step 3.5 Flash: —
    • DeepSeek V3.2 Exp Thinking: 85.0%

  • IFBench

    Following precise output instructions

    • Step 3.5 Flash: 64.6%Top
    • DeepSeek V3.2 Exp Thinking: 54.1%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Step 3.5 Flash: —
    • DeepSeek V3.2 Exp Thinking: 78.9%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Step 3.5 Flash: —
    • DeepSeek V3.2 Exp Thinking: 87.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Step 3.5 Flash: 27.3%
    • DeepSeek V3.2 Exp Thinking: 31.1%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Step 3.5 Flash: 94.4%Top
    • DeepSeek V3.2 Exp Thinking: 33.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Step 3.5 Flash: 50.0%
    • DeepSeek V3.2 Exp Thinking: 72.3%Top

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.

Hourly request success · last 72 hoursLowest hour 100.0%
  • 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.

Read the quickstart
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",
    "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",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

stepfun

Other stepfun models, starting with the same family.