API cost decision in 10 seconds

Gemini 3.5 Flash Lite (batch) vs Step 3.7 Flash

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated: 2026-08-06T14:08:16Z Data confirmed: 2026-08-23T11:07:50Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.78 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickGemini 3.5 Flash Lite (batch)

Sample savings$00%

10x traffic gap$0

Context-window winner: Gemini 3.5 Flash Lite (batch). Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Gemini 3.5 Flash Lite (batch), balanced workload favors Step 3.7 Flash, and output-heavy chatbot favors Step 3.7 Flash.

Workload shape	Token mix	Better pick	Gemini 3.5 Flash Lite (batch)	Step 3.7 Flash
Input-heavy / RAG	5M input + 500K output	Gemini 3.5 Flash Lite (batch)	$1.38	$1.57
Balanced workload	1M input + 1M output	Step 3.7 Flash	$1.4	$1.35
Output-heavy chatbot	1M input + 5M output	Step 3.7 Flash	$6.4	$5.95

Cheaper input Gemini 3.5 Flash Lite (batch) $0.15 vs $0.2 / 1M

Gemini 3.5 Flash Lite (batch) is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Step 3.7 Flash $1.25 vs $1.15 / 1M

Step 3.7 Flash is $0.1 cheaper per 1M output tokens (8% lower; 1.09x difference).

Larger context Gemini 3.5 Flash Lite (batch) 1.05M vs 262.14K

Gemini 3.5 Flash Lite (batch) has 786.43K more context (4x larger).

Sample workload Step 3.7 Flash $0.78 vs $0.77

Step 3.7 Flash is $0 cheaper on the standard workload (0% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Gemini 3.5 Flash Lite (batch) Calculating… Estimated API cost

Step 3.7 Flash 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

Gemini 3.5 Flash Lite (batch) has the lower input price; Step 3.7 Flash has the lower output price; Gemini 3.5 Flash Lite (batch) 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 $0.78 for Gemini 3.5 Flash Lite (batch) and $0.77 for Step 3.7 Flash.

Best Fit

Choose Gemini 3.5 Flash Lite (batch) when you care most about lower input-token price, and larger context window.

Choose Step 3.7 Flash when you care most about lower output-token price.

Decision Notes

Both models are estimated at $0.78 for the standard 1M input plus 500K output workload.
Step 3.7 Flash is $0 cheaper on the standard workload (0% lower).
Gemini 3.5 Flash Lite (batch) is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).
Step 3.7 Flash is $0.1 cheaper per 1M output tokens (8% lower; 1.09x difference).
Gemini 3.5 Flash Lite (batch) has 786.43K more context (4x larger).

Head-to-Head Specs

Feature	Gemini 3.5 Flash Lite (batch) (Google)	Step 3.7 Flash (StepFun)
Input Price prompt tokens per 1M	$0.15	$0.2
Completion Price per 1M tokens	$1.25	$1.15
Sample Workload Cost 1M input + 500K output	$0.78	$0.77
Context Window	1.05M	262.14K
Release Date	2026-07-21	2026-05-28

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $0.78 for the standard 1M input plus 500K output workload.
High-volume input processing	Gemini 3.5 Flash Lite (batch)	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	Gemini 3.5 Flash Lite (batch)	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Gemma 4 26B A4B (free) can replace Gemini 3.5 Flash Lite (batch) when lower sample workload cost matters most: $0.
Gemma 4 31B (free) can replace Gemini 3.5 Flash Lite (batch) when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemini 3.5 Flash Lite (batch) when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Gemini 3.5 Flash Lite (batch) when lower sample workload cost matters most: $0.

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.

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

Open provider hubs

Google catalog

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

Open Google models

StepFun catalog

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

Open StepFun models

Gemini 3.5 Flash Lite (batch)

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

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...