BenchLeader
StepFunReasoning model

Step 5 Preview

Reasoning effort

Step 5 Preview is a StepFun proprietary reasoning model, released 18 Sept 2026. Its best configuration ranks #92 of 756 on the BenchLeader Index at 61.6 ±5.0, in the upper half. The ± is the point: 186 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in composite (80) and lowest in agents & tools (48). At $1.43 per million tokens blended it is pricier than most ranked models. Output speed of 86 tokens per second puts it faster than most, with a first answer in 26.4 s. It has been measured at 2 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 2 Oct 2026.

Blended price
$1.43/M
$1.00 in · $2.70 out
Output speed
86 tok/s
measured by Artificial Analysis
First answer
26 s
Context
1M
Full answer
32 s
median, reasoning included
Cost per run
$0.717
one full Intelligence Index run
Released
18 Sept 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index62
  2. Reasoning73
  3. Coding66
  4. Agents & tools48
  5. Maths51
  6. Knowledge69
  7. Human preference64
  8. Multimodal61
  9. Long context70
  10. Composite80

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
high––86 tok/s26 s$0.0012Coding 61
not statedbest61.6#9286 tok/s26 s$0.0012Agents & tools 48 · Coding 66 · Composite 80 · Human preference 64 · Knowledge 69 · Long context 70 · Maths 51 · Multimodal 61 · Reasoning 73

How its index has moved

19 Sept 2026 to 5 Oct 2026
576370

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkhighnot statedSourceTrend
LMArena Hard Prompts–1482#62LMArena
Humanity's Last Exam (AA)not in index–46.5%#40Artificial Analysis
CritPt–20.9%#51Artificial Analysis

Coding

Benchmarkhighnot statedSourceTrend
SciCode–58.9%#15SciCode
LMArena Coding–1511#58LMArena
LMArena WebDev1570#32–LMArena
SciCode (AA)not in index–58.9%#15Artificial Analysis
Terminal-Bench 4.0 (AA)not in index–33.3%#35Artificial Analysis

Agents & tools

Benchmarkhighnot statedSourceTrend
LMArena Agent–0.5#29LMArena
GDPval (AA)not in index–53.3%#33Artificial Analysis
ITBench SRE (AA)not in index–55.6%#2Artificial Analysis
Analyst Agent (AA)not in index–35.0%#19Artificial Analysis
APEX-Agents (AA)not in index–38.0%#5Artificial Analysis
AutomationBenchnot in index–51.0%#37Artificial Analysis
GDP.pdfnot in index–14.8%#36Artificial Analysis
Harvey LABnot in index–93.4%#6Harvey
EnterpriseOps-Gymnot in index–47.2%#8Artificial Analysis
AA-Briefcasenot in index–1424#33Artificial Analysis

Maths

Benchmarkhighnot statedSourceTrend
ProofBench–42.0%#35Vals AI

Knowledge

Benchmarkhighnot statedSourceTrend
AA-Omniscience–16.4#75Artificial Analysis
AA-Omniscience: accuracynot in index–41.5%#106Artificial Analysis
AA-Omniscience: non-hallucinationnot in index–57.0%#78Artificial Analysis

Instruction following

Benchmarkhighnot statedSourceTrend
LMArena Instruction Followingnot in index–1445#71LMArena

Human preference

Benchmarkhighnot statedSourceTrend
LMArena Text–1454#72LMArena
LMArena Creative Writingnot in index–1421#82LMArena
LMArena Multi-turnnot in index–1460#76LMArena
LMArena Longer Queriesnot in index–1468#62LMArena

Multimodal

Benchmarkhighnot statedSourceTrend
LMArena Vision–1278#36LMArena
MMMU-Pro–76.4%#84Artificial Analysis

Long context

Benchmarkhighnot statedSourceTrend
AA-LCR–88.3%#2Artificial Analysis
MLCRnot in index–16.7%#24Artificial Analysis

Composite

Benchmarkhighnot statedSourceTrend
AA Intelligence Index–43.7#41Artificial Analysis

Where it wins

Benchmarks where this configuration ranks in the top five of every configuration measured.

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.048 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0012$0.000929.9 s
Summarise a 30-page report12,000 / 600$0.014$0.005133.3 s
Code edit6,000 / 1,500$0.010$0.005843.8 s
Agentic coding session60,000 / 4,000$0.071$0.0281.2 min
Structured extraction2,000 / 200$0.0025$0.001128.7 s

See also

Data as of 5 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Step 5 Preview: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/step-5, data as of 5 Oct 2026.