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Favicon for stepfun

StepFun: Step 3.7 Flash

stepfun/step-3.7-flash

Model weights
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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 per token. The model supports a 256K context window and exposes selectable reasoning levels (high/medium/low), letting callers trade off speed, cost, and depth of reasoning.

Designed for coding, agentic workflows, structured outputs, and long-context productivity tasks.

Modalities
In / Out Price
$0.20 / $1.15per 1M
Context
262K
Released
May 28, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for StepFun: Step 3.7 Flash (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisStep 3.7 Flash Intelligence Index19.5
Artificial AnalysisStep 3.7 Flash Coding Index39.6
Artificial AnalysisStep 3.7 Flash GPQA Diamond80.9%
Artificial AnalysisStep 3.7 Flash HLE21.4%
Artificial AnalysisStep 3.7 Flash IFBench67.3%
Artificial AnalysisStep 3.7 Flash τ²-Bench Telecom98.5%
Artificial AnalysisStep 3.7 Flash AA-LCR73.7%
Artificial AnalysisStep 3.7 Flash τ-Bench Banking12.0%
Artificial AnalysisStep 3.7 Flash GDPval-AA17.8%
Artificial AnalysisStep 3.7 Flash CritPt2.3%
Artificial AnalysisStep 3.7 Flash SciCode43.9%
Artificial AnalysisStep 3.7 Flash Terminal-Bench Hard35.6%
Artificial AnalysisStep 3.7 Flash Terminal-Bench 2.139.3%
Artificial AnalysisStep 3.7 Flash AA-Omniscience Accuracy25.8%
Artificial AnalysisStep 3.7 Flash AA-Omniscience Non-Hallucination Rate15.0%
Design ArenaStep 3.7 Flash Models Arena 3D Elo1130
Design ArenaStep 3.7 Flash Models Arena Asciiart Elo1153
Design ArenaStep 3.7 Flash Models Arena Code Categories Elo1185
Design ArenaStep 3.7 Flash Models Arena Data Visualization Elo1174
Design ArenaStep 3.7 Flash Models Arena Game Development Elo1163
Design ArenaStep 3.7 Flash Models Arena SVG Elo1083
Design ArenaStep 3.7 Flash Models Arena UI Component Elo1183
Design ArenaStep 3.7 Flash Models Arena Website Elo1198

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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Throughput
107tok/s

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Latency
3.36s

P50, best provider

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Frequently asked questions

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 per token.

Step 3.7 Flash costs $0.20/M input tokens and $1.15/M output tokens, with separate rates for Cache Read at $0.04/M tokens.

Step 3.7 Flash has a 262,144 token context window. It supports up to 256,000 completion tokens.

Yes. Step 3.7 Flash accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Step 3.7 Flash accepts text, images, and video as input and returns text.

Step 3.7 Flash is served by 2 providers on OpenRouter: NovitaAI and StepFun. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Step 3.7 Flash was released on May 28, 2026.

More models from stepfun

Step 5 Preview

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional knowledge work, with particular strength in finance.

It is designed for extended tasks that span large codebases and documents, using tools and refining results over multiple steps.

Text1M context$1 / $2.70
Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token. It is a reasoning model that is incredibly speed efficient even at long contexts.

Text262K context$0.10 / $0.30