step-3.7-flash
Its best results are in Knowledge Work (#85 of 176) and Mathematical Reasoning (#90 of 176); weakest in Reliability (#115 of 177). Three of seven dimensions are estimated, because no results are published yet.
IQ profile
IQ dimensions
Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.
Benchmark results
10 of 39 Composite IQ benchmarks have a published result for step-3.7-flash. Benchmarks without a result stay listed so gaps are visible.
Abstract Reasoning IQ 85 · estimatedNo published results0/5
Mathematical Reasoning IQ 111 · measuredBest: #44 of 64 on MathArena1/5
Full source leaderboard reconciliation · Oct 28
Academic Reasoning IQ 119 · measuredBest: #96 of 167 on SciCode5/6
Artificial Analysis v4.3.2 · Oct 27
Artificial Analysis v4.3.2 · Oct 27
Artificial Analysis v4.3.2 · Oct 27
Artificial Analysis v4.3.2 · Oct 27
Artificial Analysis v4.3.2 · Oct 27
Programmatic Reasoning IQ 92 · estimatedNo published results0/6
Computer Use IQ 99 · estimatedNo published results0/5
Reliability IQ 109 · measuredBest: #56 of 96 on IFBench3/6
Artificial Analysis v4.3.2 · Oct 27
Artificial Analysis v4.3.2 · Oct 27
Artificial Analysis v4.3.2 · Oct 27
Knowledge Work IQ 110 · measuredBest: #84 of 124 on GDPval-AA v2.1 normalized score1/6
Artificial Analysis v4.3.2 · Oct 20
Release & availability
Release details on record for this model.
- Released
- Developer
- StepFun
- Weights
- Open weightsDownloadable and self-hostable
- Context
- 262,000 tokens
- API price
- $0.20 in · $1.15 outper 1M tokens · full pricing
About this score
How much of step-3.7-flash's IQ is measured, and how the rest is estimated.
Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.
Abstract Reasoning, Programmatic Reasoning and Computer Use have no published results yet, so their IQ is estimated from step-3.7-flash's other dimensions.
Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.
Compare step-3.7-flash
Side-by-side pages for the models it is most often weighed against.
Frequently asked questions
Quick answers about step-3.7-flash, drawn from the same data as the rest of this page.
How AI IQ scores models →Get this data from the API →- What is the IQ of step-3.7-flash?
- step-3.7-flash has an estimated IQ of 103, which ranks #113 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- What is step-3.7-flash best at?
- Among the dimensions with published benchmark results, step-3.7-flash ranks highest in Knowledge Work (IQ 110, #85 of 176) and Mathematical Reasoning (IQ 111, #90 of 176). Its lowest-ranked measured dimension is Reliability (IQ 109, #115 of 177).
- What is the EQ of step-3.7-flash?
- step-3.7-flash doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for step-3.7-flash. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
- Which benchmarks has step-3.7-flash been tested on?
- step-3.7-flash has published results on 10 of the 39 benchmarks behind AI IQ's Composite IQ, including SciCode, IFBench, MMMU-Pro, AA Long Context Reasoning v1.1 and CritPt.
- How much does step-3.7-flash cost?
- step-3.7-flash costs $0.20 per million input tokens and $1.15 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $1.33 per million input-plus-output tokens.
- Is step-3.7-flash open source?
- Yes — step-3.7-flash is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
- Who developed step-3.7-flash?
- step-3.7-flash was developed by StepFun, based in China.
- When was step-3.7-flash released?
- step-3.7-flash was publicly released on May 28, 2026.
- How large is the context window of step-3.7-flash?
- step-3.7-flash supports a context window of 262,000 tokens — the amount of text it can consider in a single request.
- How fast is step-3.7-flash?
- In independent measurements, step-3.7-flash generates about 112 tokens per second, with a typical response time of about 25 seconds.