API cost decision in 10 seconds

Step 3.7 Flash vs Perceptron Mk1

Pick Step 3.7 Flash when budget and context both matter.

Page updated: 2026-07-21T19:07:58Z Data confirmed: 2026-08-23T11:07:50Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Step 3.7 Flash when budget and context both matter.

On the standard 1M input plus 500K output workload, Step 3.7 Flash is estimated at $0.77 vs $0.9 for Perceptron Mk1, saving $0.13 (13.9% lower).

Cost-first pickStep 3.7 Flash

Context-first pickStep 3.7 Flash

Sample savings$0.1313.9%

10x traffic gap$1.25

Step 3.7 Flash is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Perceptron Mk1, balanced workload favors Step 3.7 Flash, and output-heavy chatbot favors Step 3.7 Flash.

Workload shape	Token mix	Better pick	Step 3.7 Flash	Perceptron Mk1
Input-heavy / RAG	5M input + 500K output	Perceptron Mk1	$1.57	$1.5
Balanced workload	1M input + 1M output	Step 3.7 Flash	$1.35	$1.65
Output-heavy chatbot	1M input + 5M output	Step 3.7 Flash	$5.95	$7.65

Cheaper input Perceptron Mk1 $0.2 vs $0.15 / 1M

Perceptron Mk1 is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Step 3.7 Flash $1.15 vs $1.5 / 1M

Step 3.7 Flash is $0.35 cheaper per 1M output tokens (23.3% lower; 1.3x difference).

Larger context Step 3.7 Flash 262.14K vs 32.77K

Step 3.7 Flash has 229.38K more context (8x larger).

Sample workload Step 3.7 Flash $0.77 vs $0.9

Step 3.7 Flash is $0.13 cheaper on the standard workload (13.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Step 3.7 Flash Calculating… Estimated API cost

Perceptron Mk1 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Perceptron Mk1 has the lower input price; Step 3.7 Flash has the lower output price; Step 3.7 Flash offers the larger context window. For the 1M input plus 500K output sample, Step 3.7 Flash is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.77 for Step 3.7 Flash and $0.9 for Perceptron Mk1.

Best Fit

Choose Step 3.7 Flash when you care most about lower output-token price, and larger context window.

Choose Perceptron Mk1 when you care most about lower input-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Step 3.7 Flash is estimated at $0.77 vs $0.9 for Perceptron Mk1, saving $0.13 (13.9% lower).
Step 3.7 Flash is $0.13 cheaper on the standard workload (13.9% lower).
Perceptron Mk1 is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).
Step 3.7 Flash is $0.35 cheaper per 1M output tokens (23.3% lower; 1.3x difference).
Step 3.7 Flash has 229.38K more context (8x larger).

Head-to-Head Specs

Feature	Step 3.7 Flash (StepFun)	Perceptron Mk1 (Perceptron)
Input Price prompt tokens per 1M	$0.2	$0.15
Completion Price per 1M tokens	$1.15	$1.5
Sample Workload Cost 1M input + 500K output	$0.77	$0.9
Context Window	262.14K	32.77K
Release Date	2026-05-28	2026-05-12

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Step 3.7 Flash	On the standard 1M input plus 500K output workload, Step 3.7 Flash is estimated at $0.77 vs $0.9 for Perceptron Mk1, saving $0.13 (13.9% lower).
High-volume input processing	Perceptron Mk1	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Step 3.7 Flash	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Step 3.7 Flash	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Step 3.5 Flash can replace Step 3.7 Flash when lower sample workload cost matters most: $0.25.

Larger context near this budget

DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

Popular competitors

DeepSeek V4 Flash 0731 · DeepSeek · #1
MiMo-V2.5 · Xiaomi · #2
Hy3 · Tencent · #3
Ox Alpha · stealth · #4

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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StepFun catalog

Review all tracked StepFun models before deciding whether this matchup is the right shortlist.

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Perceptron catalog

Check other Perceptron models with comparable pricing, context, or release timing.

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Step 3.7 Flash

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...

Perceptron Mk1

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...