AI Model Intelligence

Step 3.7 Flash

stepfun/step-3-7-flash

By StepFun · family: step · released 2026-05-29 · knowledge: 2026-01-01

$0.200
Input / 1M tokens
$1.15
Output / 1M tokens
256K
Context window
256K
Max output

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capabilities

✓ Tool calling✓ Reasoning✓ Structured output✓ Attachments✓ Open weights✓ Temperature control
Modalities: input text, image, video · output text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding82
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)8/20
  • Provider availability4/10
Agents94
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability4/10
JSON / structured output97
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume17/20
Cost efficiency64
  • Headline price (log-scaled)59/95
  • Has prompt-cache pricing5/5
Long context60
  • Context window (100K → 2M)50/90
  • Has published price for full window10/10
Vision85
  • Accepts image input50/50
  • Context window (10K → 1M)21/30
  • Has published price10/10
  • Provider availability4/10
Production-readiness78
  • Number of independent providers20/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers8/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$1.57
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$3.15
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.97
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$2.75
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$3.09
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Pricing detail

Recommended pricing from openrouter · stepfun/step-3.7-flash

$0.200
Input
$1.15
Output
$0.040
Cache read

Cheapest provider: nvidia · Unknown input + Unknown output

Available on 4 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
OpenRouter
openrouter
stepfun/step-3.7-flash$0.200$1.15256K2026-05-29
Vercel AI Gateway
vercel
stepfun/step-3.7-flash$0.200$1.15256K2026-05-28
ZenMux
zenmux
stepfun/step-3.7-flash$0.200$1.15256K2026-05-29
Nvidia
nvidia
stepfun-ai/step-3.7-flashUnknownUnknown256K2026-05-28

Data inconsistencies across providers

  • modalities varies across offerings

Different providers report different values for this model. Quick facts above use the representative provider; consult the table for per-provider truth.

Frequently asked questions

How much does Step 3.7 Flash cost?

Step 3.7 Flash costs $0.200 per 1M input tokens and $1.15 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Step 3.7 Flash?

Step 3.7 Flash has a context window of 256K tokens, with a max output of 256K tokens per reply. This is the total combined size of prompt + completion.

Does Step 3.7 Flash support tool calling?

Yes. Step 3.7 Flash supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Step 3.7 Flash support structured output / JSON mode?

Yes. Step 3.7 Flash supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Step 3.7 Flash accept image input?

Yes. Step 3.7 Flash accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check StepFun's docs for the exact rule.

Is Step 3.7 Flash open-weight?

Yes. Step 3.7 Flash's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Step 3.7 Flash?

If Step 3.7 Flash doesn't fit, consider Step 3.5 Flash, Step 3.5 Flash 2603, Step 2 (16K). Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

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See also

Last updated:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.