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StepFunReleased May 29, 2026

Step 3.7 Flash

StepFun · Released May 29, 2026

Intelligence score

30

At a glance

Intelligence
30
Speed
409.6tokens/sec
Latency
920mstime to first token
Input price
$0.20per 1M tokens
Output price
$1.15per 1M tokens
Context window
260Ktokens
Parameters
198billions

Summary

Comparison summary

Step 3.7 Flash scores 30 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 25). Step 3.7 Flash generates output at 409.6 tokens per second (based on StepFun's API), which is well above average compared to other open weight models of similar size (median: 61.7 t/s). Step 3.7 Flash costs $0.20 per 1M input tokens (very competitive, median: $0.59) and $1.15 per 1M output tokens (better than average, median: $2.20), based on StepFun's API.

Specifications

Technical specifications

Model nameStep 3.7 Flash
ProviderStepFun
Release dateMay 29, 2026
Intelligence score30
Speed409.6 tokens/sec
Latency (TTFT)0.92s
Input price$0.20 / 1M tokens
Output price$1.15 / 1M tokens
Context window260,000 tokens
Parameters198B
ReasoningYes
Input modalitiestext, image
Output modalities—
Open weightsYes
LicenseApache 2
API availability—
SourceModel Intelligence legacy profile: step-3-7-flash

Pricing

Token prices

Price per 1M tokens

Step 3.7 Flash, as listed in the catalog record

Input $0.20 and output $1.15 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$0.20
  2. Output$1.15

Model Intelligence legacy profile: step-3-7-flash

FAQ · 21

Frequently asked questions

Step 3.7 Flash was released on May 29, 2026.

Step 3.7 Flash was created by StepFun.

Step 3.7 Flash scores 30 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 25).

Step 3.7 Flash generates output at 409.6 tokens per second (based on StepFun's API), which is well above average compared to other open weight models of similar size (median: 61.7 t/s).

Step 3.7 Flash has a time to first token (TTFT) of 0.92s (based on StepFun's API), which is very competitive compared to other open weight models of similar size (median: 2.01s).

Step 3.7 Flash costs $0.20 per 1M input tokens (very competitive, median: $0.59) and $1.15 per 1M output tokens (better than average, median: $2.20), based on StepFun's API.

Step 3.7 Flash costs $0.20 per 1M input tokens and $1.15 per 1M output tokens (based on StepFun's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.18 per 1M tokens. Pricing may vary by provider.

When evaluated on the Intelligence Index, Step 3.7 Flash generated 260M output tokens, which is at the higher end compared to other open weight models of similar size (median: 92M).

Yes, Step 3.7 Flash is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.

Step 3.7 Flash supports text and image input.

Step 3.7 Flash supports text output.

Yes, Step 3.7 Flash supports image input and can analyze, describe, and answer questions about images.

Yes, Step 3.7 Flash is multimodal. It can process text and image input and generate text output.

Step 3.7 Flash has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.

Yes, Step 3.7 Flash is open weights. The model weights are publicly available and can be downloaded for self-hosting.

Step 3.7 Flash has 198 billion parameters (11 billion active).

Step 3.7 Flash is a Mixture of Experts (MoE) model with 198 billion total parameters, but only 11 billion active parameters are used during inference.

Step 3.7 Flash is released under the Apache 2.0 license. This license allows commercial use.

Step 3.7 Flash achieves a score of 30 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Yes, Step 3.7 Flash is available via API through 2 providers.

Step 3.7 Flash is available through 2 API providers.