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Data

Data as of October 6, 2026 · How the score is built

CurrentWeight access pendingReasoning

Released Sep 20, 20261M contextStepFun model documentation

Step 5 Preview

Decision readingStep 5 Preview scores 70.3 out of 100 and ranks #17 of 214. This profile shows 22 source-displayable benchmark rows; its strongest eligible category is Agentic at #17. API pricing is $1 input and $2.7 output per million tokens, with cached input at $0.05.

Released Sep 20, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

70.3/100

field median 52#17 of 214 ranked models

Public

#17of 214

Verified —

Price

$1input / $2.70 output

input median $0.95cached $0.050 · blended $1.85

Speed

87tok/s

field median 98 tok/sFirst token 25.73 s

Context

1Mtokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Agentic ranks #17. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

22 published rows leave some tracked benchmark slots empty. Multimodal & Grounded is its lowest eligible category at #28.

Source-linked · 22 displayable benchmark rows

Follow model changes

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #17 of 120Percentile 87thWeight 22%11 benchmarksVerified
63.5
CodingRank #17 of 144Percentile 89thWeight 20%6 benchmarksVerified
61.4
ReasoningRank Not rankedWeight 17%1 benchmarkVerified
79.6
MultimodalRank #28 of 49Percentile 44thWeight 12%2 benchmarksVerified
61.2
KnowledgeRank #19 of 173Percentile 90thWeight 12%2 benchmarksVerified
67.1
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

22 of 655 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic11/11 verified
  2. Coding6/6 verified
  3. Reasoning1/1 verified
  4. Multimodal2/2 verified
  5. Knowledge2/2 verified
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot measured

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Step 5 Preview category percentile values

  • Agentic87th percentile
  • Coding89th percentile
  • ReasoningNot eligible
  • Multimodal44th percentile
  • Knowledge90th percentile
  • MultilingualNot eligible
  • Instruction followingNot eligible
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#17/120
  2. Coding#17/144
  3. ReasoningNot ranked
  4. Multimodal#28/49
  5. Knowledge#19/173
  6. MultilingualNot ranked
  7. Inst. FollowingNot ranked
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding6 rows
Coding benchmark values, best verified comparison, weight, and source status
DeepSWEScore67.7%Versus best verified row

Best verified: Gemini 4 Argon · 77.9%

Gap10.2 behindWeight15% ref. weight
SciCodeScientific Code BenchmarkScore58.9%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap1.2 behindWeight10% ref. weight
Terminal-Bench 2.1Score85.0%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap7.8 behindWeightScored in Agentic
ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch?Score80.5%Versus best verified row

Best verified: Claude Opus 5 · 93.0%

Gap12.5 behindWeightDisplay only
sweMarathonScore72.7%Versus best verified row

Best verified: Step 5 Preview · 72.7%

GapBest verifiedWeightDisplay only
MLS-Bench LiteScore40.5%Versus best verified row

Best verified: Kimi K3 · 48.3%

Gap7.8 behindWeightDisplay only
Agentic11 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Score85.0%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap7.8 behindWeight8% ref. weight
Terminal-Bench 4.0Score33.30%Versus best verified row

Best verified: Claude Sonnet 5.5 · 70.60%

Gap37.3 behindWeight8% ref. weight
BrowseCompScore88.7%Versus best verified row

Best verified: Atria Dawn Preview · 92.5%

Gap3.8 behindWeight8% ref. weight
AutomationBenchScore44.0%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 54.8%

Gap10.8 behindWeight5% ref. weight
JobBenchScore59.0%Versus best verified row

Best verified: Muse Spark 1.3 · 64.9%

Gap5.9 behindWeight5% ref. weight
MCP AtlasScore85.6%Versus best verified row

Best verified: Muse Spark 1.1 · 88.1%

Gap2.5 behindWeight4% ref. weight
Toolathlon-VerifiedScore74.1%Versus best verified row

Best verified: Claude Opus 5 · 80.6%

Gap6.5 behindWeight3% ref. weight
Agents' Last ExamScore29.5%Versus best verified row

Best verified: GPT-6 Astra · 59.3%

Gap29.8 behindWeight3% ref. weight
CyberGymScore84.7%Versus best verified row

Best verified: MiMo-V2.6-Flash · 95.1%

Gap10.4 behindWeightDisplay only
APEX-AgentsScore37.8%Versus best verified row

Best verified: Grok 4.6 · 57.5%

Gap19.7 behindWeightDisplay only
DRACOData Research and Analysis with Complex OperationsScore83.3%Versus best verified row

Best verified: Claude Opus 5 · 88.6%

Gap5.3 behindWeightDisplay only
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
CritPtCritical Physics TasksScore20.9%Versus best verified row

Best verified: GPT-6 Astra · 31.7%

Gap10.8 behindWeightFeeds overall
Multimodal2 rows
Multimodal benchmark values, best verified comparison, weight, and source status
MMMU-ProMassive Multi-discipline Multimodal Understanding ProScore76%Versus best verified row

Best verified: Gemini 3.5 Flash · 83.6%

Gap7.6 behindWeightWeighted 40%
OfficeQA ProScore60.3%Versus best verified row

Best verified: Claude Opus 5.5 · 67.7%

Gap7.4 behindWeightWeighted 25%
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore46.5%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap18.5 behindWeight44% ref. weight
GPQA-DGPQA DiamondScore93.5%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap2.5 behindWeightDisplay only

Bars run 0–100; the dark tick marks the best source-verified value

All 22 rows

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Current modelExplore all models

Step 5 Preview · 70.3 score · $1.85 blended per million tokens

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

30405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierStep 5 Preview

Horizontal: blended price per million tokens, log scale · Vertical: public score

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Sep 20, 2026 · you are here

    Step 5 Preview

    Score 70.3 · $1 / $2.7

preview · Preview

Radar

Step 5 Preview release history

Full release history

Radar confirmed these at the source. Use Step 5 Preview in your work? Explore Radar to follow supported changes and choose your alerts.

Radar

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Knowledge cutoff
Not sourced yet
Input modalities
text, image, videoStepFun Step 5 Preview model documentation
Parameters
Not sourced yet
Availability
StepFun Open Platform APIStepFun Step 5 Preview model documentation
Cloud regions
Not tracked yet
API capabilities
Streaming output · tool calling · JSON Mode / JSON Schema · prompt cachingStepFun Step 5 Preview model documentation
Prompt caching
Published at $0.050 per million cached input tokensStepFun pricing and rate limits
Self-host
Weight availability is pending
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Step 5 Preview ranks #17 of 214 on the public leaderboard with a score of 70.26/100. It does not yet have enough sourced coverage for a verified position.

Step 5 Preview has no verified publication yet for weight access. Its 1M context window is documented separately from that pending weight status. The profile records its reasoning mode as reasoning.

Available through StepFun's Open Platform API as `step-5-preview`. StepFun says it will release open weights on October 15; no checkpoint or license is published yet.

Official exact-value snapshot from StepFun's Step 5 Preview launch table, using the published High reasoning setting. We map only rows with an existing compatible benchmark lane and keep this API-hosted preview out of ranking coverage while independent or protocol-aligned results arrive. StepFun-developed StepCodeBench and FinStepBench rows, the HLE-with-tools text-only subset, GDP.pdf, and other provider-specific or protocol-ambiguous results stay outside the scored fields. StepFun says open weights will be released on October 15 but has not published a checkpoint or license.

22 of 655 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #17, while its lowest eligible position is Multimodal & Grounded at #28. particularly useful for coding agents, browser research, and computer-use workflows.

Last updated October 6, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does Step 5 Preview perform overall in AI benchmarks?

Step 5 Preview ranks #17 out of 214 models on the public BenchAlign leaderboard, with a score of 70.26/100. Its evidence status is Estimated, and this profile shows 22 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Step 5 Preview good for knowledge and understanding?

Step 5 Preview ranks #19 out of 173 eligible models for knowledge and understanding, with a public category score of 67.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Step 5 Preview good for coding and programming?

Step 5 Preview ranks #17 out of 144 eligible models for coding and programming, with a public category score of 61.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Step 5 Preview good for reasoning and logic?

Step 5 Preview has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Step 5 Preview good for agentic tool use and computer tasks?

Step 5 Preview ranks #17 out of 120 eligible models for agentic tool use and computer tasks, with a public category score of 63.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Step 5 Preview good for multimodal and grounded tasks?

Step 5 Preview ranks #28 out of 49 eligible models for multimodal and grounded tasks, with a public category score of 61.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Does Step 5 Preview have full benchmark coverage on BenchLM?

No. Step 5 Preview currently has 42 source-displayable rows across 655 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Step 5 Preview?

Step 5 Preview has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

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