StepFun: Step 3.7 Flash Rank
Step 3.7 Flash has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 71, context 53, parameters 57, and recency 93. The overall score is their average. freshness is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 106 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 93 | AI Release Date | |
| Context | 53 | 262K tokens, output 230K | AI Context Window |
| Parameters | 57 | 196B total | AI Parameter Count |
| Price | 71 | $0.438 / 1M blended, $0.2 / 1M input, $1.15 / 1M output | AI Token Price |
105 listed models have a higher overall score. Among StepFun models, it ranks 2 of 3.
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...
Higher overall scores
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Frequently asked questions
What is the Step 3.7 Flash rank?
Step 3.7 Flash has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 71, context 53, parameters 57, and recency 93. The overall score is their average. freshness is not published and is left out of the average.
Where does Step 3.7 Flash rank?
Step 3.7 Flash is tied for rank 106 of 291. 105 listed models have a higher overall score. Among StepFun models, it ranks 2 of 3.
What scores make up Step 3.7 Flash?
Step 3.7 Flash scores price 71 (AI Token Price), context 53 (AI Context Window), parameters 57 (AI Parameter Count), and recency 93 (AI Release Date). The overall score of 69 is the average of those 4.