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Model profile

Step 3.7 Flash

StepFunCurrentReleased May 29, 2026
Data verified
Overall Score
50.87Public #110 of 200
Arena Elo
Not listed
Eligible category ranks
2of 8
Price (1M tokens)
$0.2 in / $1.15 out
API pricing
Speed
Not listed
Context
256K

Evidence coverage

29 of 323 tracked benchmarks are published. 12 are verified and 17 provisional. 6 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
29 / 323
Verified
12
Provisional
17
Categories with evidence
6 / 8

Evidence by category

  • Agentic12 benchmarks
    Mixed evidence
  • Coding4 benchmarks
    Mixed evidence
  • Reasoning2 benchmarks
    Reported
  • Knowledge6 benchmarks
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal4 benchmarks
    Mixed evidence
  • Inst. Following1 benchmark
    Reported
Open WeightSelf-hostReasoning
Confidence:
Low
base

Step 3.7 Flash ranks #110 out of 200 models on the public leaderboard with an overall score of 50.87/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Step 3.7 Flash is a open weight model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

BenchLM links it directly to Step 3.5 Flash as the earlier related model in that lineage. This profile currently has 29 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Coding (#61), while its weakest is Agentic (#73). This performance profile makes it particularly well-suited for software development and code generation tasks.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 50.82–51.25

  1. GLM-4.7-Flash
    Z.AI
    #10651.25
    GLM-4.7-Flash is #106 with a score of 51.25.
    Compare
  2. Grok 4.1 Fast
    xAI
    #10751.25
    Grok 4.1 Fast is #107 with a score of 51.25.
    Compare
  3. GPT-4.1
    OpenAI
    #10851.11
    GPT-4.1 is #108 with a score of 51.11.
    Compare
  4. Nemotron 3 Super 120B A12B
    NVIDIA
    #10950.97
    Nemotron 3 Super 120B A12B is #109 with a score of 50.97.
    Compare
  5. Step 3.7 FlashCurrent model
    StepFun
    #11050.87
    Step 3.7 Flash is #110 with a score of 50.87.
  6. Gemini 3.1 Flash-Lite
    Google
    #11150.83
    Gemini 3.1 Flash-Lite is #111 with a score of 50.83.
    Compare
  7. Llama 3 70B
    Meta
    #11250.82
    Llama 3 70B is #112 with a score of 50.82.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

  1. Coding50%
    Eligible cohort rank #61 of 122Category score 50.2
  2. Agentic39%
    Eligible cohort rank #73 of 119Category score 45.5

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #73 of 119Percentile 39thWeight 22%12 benchmarksMixed sources45.5
CodingRank #61 of 122Percentile 50thWeight 20%4 benchmarksMixed sources50.2
ReasoningWeight 17%2 benchmarksReportedScore pending
KnowledgeWeight 12%6 benchmarksReportedScore pending
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%4 benchmarksMixed sourcesScore pending
Inst. FollowingWeight 5%1 benchmarkReportedScore pending

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic12 benchmarks
Terminal-Bench 2.0Provider exact
59.5%Weighted 38%
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 59.5 on Terminal-Bench 2.1.
BrowseCompProvider exact
75.8%Weighted 28%
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 75.82 on BrowseComp.
DeepSearchQAProvider exact
92.8%Display only
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 92.82 F1 on DeepSearchQA.
GDPval-AAProvider exact

GDPval-AA normalized

25.9%Display only
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 45.8 on GDPVal-AA / GDPval across 44 occupations. BenchLM stores the percentage-style value on the normalized GDPval-AA row and leaves the Elo row empty.
ToolathlonProvider exact
49.5%Display only
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 49.5 on Toolathlon.
Claw-EvalProvider exact
67.1%Display only
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 67.1 on ClawEval-1.1.
HLE w/ toolsProvider exact

Humanity's Last Exam with tools

47.2%Display only
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 47.20 on HLE with Tools in the launch page search section and comparison chart. BenchLM does not map the separate Hugging Face 48.1 HLE row because its setup is ambiguous.
Gert LabsBenchmark exact

Gert Labs Composite Game Benchmark

51.57%Display only
Source: Gert Labs rankingsProvenance: Gert Labs reports this composite leaderboard score in the public rankings API. BenchLM scales the source gscore from 0-1 to 0-100 and stores it as a display-only agentic benchmark.
AA Agentic IndexReported

Artificial Analysis Agentic Index

21.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

98.5%Display only
Source: Artificial Analysis: tau2-bench leaderboardProvenance: Display-only row synced from the current Artificial Analysis evaluation leaderboard. It is excluded from BenchLM weighted scoring.
GDPval-AAReported
1017Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
APEX-Agents-AAReported
14.8%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Coding4 benchmarks
SWE-bench ProProvider exact
56.3%Weighted 10%
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 56.3 on SWE-Bench Pro.
Terminal-Bench 2.0Provider exact
59.5%Display only
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 59.5 on Terminal-Bench 2.1. BenchLM stores it on the existing Terminal-Bench display key in both coding and agentic views.
AA Coding IndexReported

Artificial Analysis Coding Index

39.6%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-SciCodeReported

Artificial Analysis SciCode

40.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Reasoning2 benchmarks
AA-LCRReported

Artificial Analysis Long Context Reasoning

63.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
CritPtReported

Critical Physics Tasks

2.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Knowledge6 benchmarks
Artificial Analysis Intelligence IndexReported
30.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-GPQA DiamondReported

Artificial Analysis GPQA Diamond

80.9%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-HLEReported

Artificial Analysis Humanity's Last Exam

19.9%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience IndexReported

Artificial Analysis Omniscience Index

-37.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience AccuracyReported

Artificial Analysis Omniscience Accuracy

25.4%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

84.4%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Multimodal4 benchmarks
SimpleVQAProvider exact
79.2%Display only
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 79.2 on SimpleVQA with tool/search.
V*Provider exact
95.3%Display only
Source: StepFun: Step 3.7 FlashProvenance: StepFun reports Step 3.7 Flash at 95.3 on V* with Python tool.
AA-MMMU-ProReported

Artificial Analysis MMMU-Pro

75.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Design Arena WebsiteReported

Design Arena Website Elo

1211Display only
Source: OpenRouter model benchmarksProvenance: Display-only Design Arena Website Elo synced from OpenRouter model benchmark metadata. It is excluded from BenchLM weighted scoring.
Inst. Following1 benchmark
AA-IFBenchReported

Artificial Analysis IFBench

67.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Step 3.7 Flash Family

Base entry

Related Earlier Model

Step 3.5 Flash

Frequently Asked Questions

How does Step 3.7 Flash perform overall in AI benchmarks?

Step 3.7 Flash has 29 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Step 3.7 Flash good for knowledge and understanding?

Step 3.7 Flash has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is Step 3.7 Flash good for coding and programming?

Step 3.7 Flash ranks #61 out of 122 models in coding and programming benchmarks with an average score of 50.2. There are stronger options in this category.

Is Step 3.7 Flash good for reasoning and logic?

Step 3.7 Flash has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is Step 3.7 Flash good for agentic tool use and computer tasks?

Step 3.7 Flash ranks #73 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 45.5. There are stronger options in this category.

Is Step 3.7 Flash good for multimodal and grounded tasks?

Step 3.7 Flash has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is Step 3.7 Flash good for instruction following?

Step 3.7 Flash has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Is Step 3.7 Flash open source?

Yes, Step 3.7 Flash is an open weight model created by StepFun, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Does Step 3.7 Flash have full benchmark coverage on BenchLM?

Not yet. Step 3.7 Flash currently has 29 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Step 3.7 Flash?

Step 3.7 Flash has a published context window of 256K, which determines how much text it can process in a single interaction.

Related Resources

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Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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