Traffic rank on Composite
#84 of 194
0.05% of tokens and 0.03% of requests over 30 days.
AI model
stepfun/step-3.7-flash
StepFun: Step 3.7 Flash is a 262,144-token model served on Composite at $0.250 per million tokens in and $1.44 per million tokens out. Ranked #84 of 194 models by traffic on Composite over the last 30 days, taking 0.05% of tokens and 0.03% of requests.
Try in Playground| Model ID | stepfun/step-3.7-flash |
|---|---|
| Provider | cv11 |
| Context window | 262,144 tokens |
| Accepts | text, image, video |
| Returns | text |
| Input price | $0.250 per million tokens |
| Output price | $1.44 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Thinking | Always on for this model |
| Moderated | No |
| Cost on a monthly plan | About 2.8 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
#84 of 194
0.05% of tokens and 0.03% of requests over 30 days.
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | stepfun/step-3.7-flash:cheapThink |
cv11 | $0.250 per million tokens input · $1.44 per million tokens output |
$0.250 per million tokens input · $1.44 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 2.8 plan credits, at the provider's own price.
cv11
StepFun models are a China-based lab entry with competitive pricing for their capability class.
With a 262,144-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
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...
Supplied by cv11, not written by Composite.
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