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Step 3.7 Flash

Score basis

Step 3.7 Flash is capable in long context; and behind the leaders in multimodal tasks, coding, instruction following, reasoning, factuality, agentic tasks, and math. Too few results yet to rate safety or multilingual tasks.

Capability profile

Bars show the model's median result as a share of the leading model's, per capability. Select a row to see its results.

Capable1 capability
  1. Long Context−20.8%1 of 3
Limited7 capabilities
  1. Multimodal−28.7%1 of 6
  2. Coding−30.3%4 of 10
  3. Instruction Following−30.7%1 of 3
  4. Reasoning−32.6%3 of 6
  5. Factuality−34.9%2 of 4
  6. Agentic−40.5%2 of 7
  7. Math−46.1%2 of 5
Not rated2 capabilities

Too few results yet to rate Safety or Multilingual.

Price

$0.20input$1.15outputper million tokens

From Artificial Analysis · 2 providers tracked · All prices

Cheaper than 63% of 331 priced models · 3:1 input-to-output blend, log scale

Evidence

26results on23benchmarks

  • 3 independently verified
  • 20 aggregator
  • 3 vendor-reported

From 4 sources · latest Oct 8, 2026 · How verification works

API features

Tool callingStructured outputsReasoning

As listed by OpenRouter

Step 3.7 Flash benchmark results

26 results on 23 benchmarks, grouped by capability. Each bar is the result as a share of the capability leader's; every result links to its source.

Long Context

CapableFull long context ranking

20.8% behind the leader1 of 3 ranked benchmarks measured

Multimodal

LimitedFull multimodal ranking

28.7% behind the leader1 of 6 ranked benchmarks measured

Coding

LimitedFull coding ranking

30.3% behind the leader4 of 10 ranked benchmarks measured

Show 1 more coding resultHide 1 coding result

Instruction Following

LimitedFull instruction following ranking

30.7% behind the leader1 of 3 ranked benchmarks measured

Reasoning

LimitedFull reasoning ranking

32.6% behind the leader3 of 6 ranked benchmarks measured

Factuality

LimitedFull factuality ranking

34.9% behind the leader2 of 4 ranked benchmarks measured

Agentic

LimitedFull agentic ranking

40.5% behind the leader2 of 7 ranked benchmarks measured

Show 3 more agentic resultsHide 3 agentic results

46.1% behind the leader2 of 5 ranked benchmarks measured

More results

Benchmarks outside the capability baskets. They are not ranked against a leader.

Step 3.7 Flash: common questions

Who makes Step 3.7 Flash?

Step 3.7 Flash is made by StepFun.

When was Step 3.7 Flash released?

Step 3.7 Flash was released on May 29, 2026, according to Artificial Analysis.

What is Step 3.7 Flash good at?

Step 3.7 Flash is capable in long context; and behind the leaders in multimodal tasks, coding, instruction following, reasoning, factuality, agentic tasks, and math. Too few results yet to rate safety or multilingual tasks.

How much does Step 3.7 Flash cost?

Step 3.7 Flash costs $0.20 per million input tokens and $1.15 per million output tokens, according to Artificial Analysis. We track its price at 2 providers. At a mix of three input tokens to one output token, it is cheaper than 63% of the 331 priced models we track.

How many benchmarks has Step 3.7 Flash been tested on?

We track 26 results for Step 3.7 Flash on 23 benchmarks from 4 sources, 3 of them independently verified. The latest was recorded on Oct 8, 2026.

Which API features does Step 3.7 Flash support?

OpenRouter lists tool calling, structured outputs, and reasoning for Step 3.7 Flash.

About this record

Where Step 3.7 Flash's numbers come from, and every name it appears under.

Tracked since
May 29, 2026
Newest source mention
Aug 23, 2026

Where the results come from

Verification: 26 scores · 3 independently verified · 20 aggregator-attributed · 3 vendor-reported. How these tiers are assigned

From 4 sources on 3 sites. Artificial Analysis supplies 20 of them; the 3 independently verified results come from 1 site. Bars are coloured by trust tier.

  • artificialanalysis.ai20
  • api.llm-stats.com3
  • matharena.ai3

Also known as

stepfun-ai/step-3.7-flashstepfun-ai/step-3.7-flash-ggufstep-3-7-flash