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Step 5 Preview

StepFun · released Sep 20, 2026

FlagshipAPI onlyPreview

StepFun's new flagship, released as a preview on its apps and API. It scores near the top on long-context reasoning and well on agentic work for its price.

Best for: Low-cost agentic work · Long-context tasks

Platform
Intelligence Index
43.7
#12 of 38
Price per 1M tokens
$1 in $2.7 out
Blended $1.43 at 3:1
Context window
1M
Up to 64K output
Output speed
89 tokens/s
$0.72 measured cost per task

Capability profile

One 0–100 score per area, placing this model between the weakest and strongest tracked model across that area's benchmarks.

  • Overall64 · #17 of 38

    Based on 3 of 3 benchmarks

  • Coding59 · #15 of 39

    Based on 5 of 5 benchmarks

  • Agents & knowledge work59 · #21 of 40

    Based on 6 of 6 benchmarks

  • Reasoning & science68 · #11 of 39

    Based on 2 of 2 benchmarks

  • Knowledge & reliability80 · #12 of 39

    Based on 2 of 2 benchmarks

  • Vision62 · #19 of 31

    Based on 2 of 2 benchmarks

Benchmark results

All third-party results on record. Rank is among the tracked models that have been tested on that benchmark.

Overall

  • Artificial Analysis Intelligence Index43.7

    #12 of 38· Artificial Analysis

  • Vals Index49.4%

    #19 of 26· $2.63 per test· Vals AI

  • Arena · Text1454 ±11

    #20 of 33· 2,701 votes· Arena

Coding

  • Terminal-Bench 4.033.3%

    #11 of 38· Artificial Analysis

  • SciCode58.9%

    #8 of 38· Artificial Analysis

  • Arena · WebDev1564 ±12

    #22 of 34· High effort· 3,138 votes· Arena

  • Vibe Code Bench70.4%

    #21 of 26· Vals AI

  • Code Migration39.5%

    #18 of 26· Vals AI

Agents & knowledge work

  • GDPval-AA54.2

    #15 of 39· Artificial Analysis

  • Arena · Agent+0.5 ±1.5

    #18 of 29· Arena

  • Finance Agent v250.7%

    #19 of 26· Vals AI

  • Excel Modeling Benchmark57.1%

    #19 of 26· Vals AI

  • Legal Research Bench40.4%

    #16 of 26· Vals AI

  • Tax Agent Bench59.5%

    #20 of 26· Vals AI

Reasoning & science

  • Humanity's Last Exam46.5%

    #12 of 39· Artificial Analysis

  • CritPt20.9%

    #11 of 39· Artificial Analysis

  • ARC-AGI-2saturatingNot tested
  • ARC-AGI-3Not tested
  • GPQA DiamondsaturatingNot tested

Knowledge & reliability

  • AA-Omniscience16

    #12 of 39· Artificial Analysis

  • AA-LCR88.3%

    #2 of 39· Artificial Analysis

Vision

  • MMMU-Pro76.4%

    #16 of 27· Artificial Analysis

  • Arena · Vision1260 ±24

    #13 of 19· 604 votes· Arena

Specifications

Lab
StepFun
Released
Sep 20, 2026
Availability
Preview
Context window
1,000,000 tokens
Max output
64,000 tokens
Accepts
Text, Images, Video
Knowledge cutoff
Not published
Weights
Closed
Parameters
600B total · 27B active
API model ID
step-5-preview

Preview release. StepFun has announced open weights for mid-October; none were published at the time of this snapshot.

Pricing

Input / 1M tokens
$1
Cached input / 1M
$0.05
Output / 1M tokens
$2.7
Blended (3:1)
$1.43
Measured cost / task
$0.72

Worth knowing

  • Specifications come from third-party trackers and the model listings rather than a first-party document.

Official sources

  • Platform

Closest alternatives

The models nearest to this one on overall score.

  • DeepSeek V4.1 Flash
    Intelligence Index
    39.5
    Price / 1M
    $0.52
    Compare the two
  • GPT-5.6 Terra
    Intelligence Index
    42.1
    Price / 1M
    $4.5
    Compare the two
  • Qwen3.8-Flash
    Intelligence Index
    39.8
    Price / 1M
    $0.23
    Compare the two
  • GLM-5.3-Flash
    Intelligence Index
    41.8
    Price / 1M
    $0.24
    Compare the two

23 benchmarks tracked. See methodology and sources.

Model Index

An independent snapshot of frontier SI models and how they perform on third-party benchmarks.

Data as of Oct 8, 2026

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Sources

Benchmark results come from Artificial Analysis, Arena, Vals AI and ARC Prize. Specifications and prices come from each lab's own documentation.

Not affiliated with any lab or evaluator. Names and logos are trademarks of their respective owners and are used only to identify them. Scores change often — check the linked source before making a decision that depends on one.

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