Model profile
Step 3.7 Flash
Evidence coverage
30 of 313 tracked benchmarks are published. 12 are verified and 18 provisional. 6 of 8 categories are measured.
- Published / tracked
- 30 / 313
- Verified
- 12
- Provisional
- 18
- Categories measured
- 6 / 8
Evidence by category
- Agentic12 benchmarksMixed evidence
- Coding5 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal4 benchmarksMixed evidence
- Inst. Following1 benchmarkReported
BenchLM is tracking Step 3.7 Flash, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
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 30 of 313 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 Agentic (#46). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers.
Range 56.0–58.0
- Qwen3.6-35B-A3BAlibabaCompare#4858.0Qwen3.6-35B-A3B is #48 with a score of 58.0.
- MAI-Thinking-1MicrosoftCompare#4958.0MAI-Thinking-1 is #49 with a score of 58.0.
- MiMo-V2-FlashXiaomiCompare#5057.0MiMo-V2-Flash is #50 with a score of 57.0.
- GPT-4.1OpenAICompare#5156.0GPT-4.1 is #51 with a score of 56.0.
- Step 3.7 FlashCurrent modelStepFunUnranked57.0Step 3.7 Flash is Unranked with a score of 57.0.
- DeepSeek V4 FlashDeepSeekCompareUnranked57.0DeepSeek V4 Flash is Unranked with a score of 57.0.
- Gemma 4 26B A4BGoogleCompareUnranked56.0Gemma 4 26B A4B is Unranked with a score of 56.0.
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.
- Agentic63%Eligible cohort rank #46 of 121Category score 56.9
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #46 of 121Percentile 63rdWeight 22%12 benchmarksMixed sources | 56.9 | #46 of 121 | 63rd | 22% | 12 benchmarks | Mixed sources |
| CodingRank Not rankedWeight 20%5 benchmarksMixed sources | 59.1 | Not ranked | Not available | 20% | 5 benchmarks | Mixed sources |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 0.0 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksReported | 0.0 | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%4 benchmarksMixed sources | 0.0 | Not ranked | Not available | 12% | 4 benchmarks | Mixed sources |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 0.0 | Not ranked | Not available | 5% | 1 benchmark | Reported |
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
GDPval-AA normalized
Humanity's Last Exam with tools
Gert Labs Composite Game Benchmark
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
Coding5 benchmarks
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Multimodal4 benchmarks
Artificial Analysis MMMU-Pro
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Step 3.7 Flash perform overall in AI benchmarks?
Step 3.7 Flash has 30 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 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
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 #46 out of 78 models in agentic tool use and computer tasks benchmarks with an average score of 56.9. 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 30 published benchmark scores out of the 313 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 context window of 256K, which determines how much text it can process in a single interaction.
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