Step 3.7 Flash
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 12 of 224 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 2 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Step 3.7 Flash stacks up against similar models
Frequently Asked Questions
How does Step 3.7 Flash perform overall in AI benchmarks?
Step 3.7 Flash has 12 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 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 agentic tool use and computer tasks?
Step 3.7 Flash has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
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 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 12 published benchmark scores out of the 224 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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