API cost decision in 10 seconds

NewLing 3.0 Flash Fin (free) vs Gemini 3.1 Flash Lite (batch)

Pick Ling 3.0 Flash Fin (free) for lower cost; pick Gemini 3.1 Flash Lite (batch) only if the larger context window matters more.

Page updated: 2026-08-27T16:07:54Z Data confirmed: 2026-08-27T18:07:56Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ling 3.0 Flash Fin (free) for lower cost; pick Gemini 3.1 Flash Lite (batch) only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $0.5 for Gemini 3.1 Flash Lite (batch), saving $0.5 (100% lower).

Cost-first pickLing 3.0 Flash Fin (free)

Context-first pickGemini 3.1 Flash Lite (batch)

Sample savings$0.5100%

10x traffic gap$5

Gemini 3.1 Flash Lite (batch) has more context, but Ling 3.0 Flash Fin (free) saves $0.5 on the standard workload. At 10x that traffic, the same price gap is about $5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ling 3.0 Flash Fin (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Ling 3.0 Flash Fin (free)	Gemini 3.1 Flash Lite (batch)
Input-heavy / RAG	5M input + 500K output	Ling 3.0 Flash Fin (free)	$0	$1
Balanced workload	1M input + 1M output	Ling 3.0 Flash Fin (free)	$0	$0.88
Output-heavy chatbot	1M input + 5M output	Ling 3.0 Flash Fin (free)	$0	$3.88

Cheaper input Ling 3.0 Flash Fin (free) $0 vs $0.125 / 1M

Ling 3.0 Flash Fin (free) is free for input tokens while Gemini 3.1 Flash Lite (batch) costs $0.12 per 1M tokens.

Cheaper output Ling 3.0 Flash Fin (free) $0 vs $0.75 / 1M

Ling 3.0 Flash Fin (free) is free for output tokens while Gemini 3.1 Flash Lite (batch) costs $0.75 per 1M tokens.

Larger context Gemini 3.1 Flash Lite (batch) 262.14K vs 1.05M

Gemini 3.1 Flash Lite (batch) has 786.43K more context (4x larger).

Sample workload Ling 3.0 Flash Fin (free) $0 vs $0.5

Ling 3.0 Flash Fin (free) is free for the standard workload while the other model is estimated at $0.5.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Ling 3.0 Flash Fin (free) Calculating… Estimated API cost

Gemini 3.1 Flash Lite (batch) 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

Ling 3.0 Flash Fin (free) has the lower input price; Ling 3.0 Flash Fin (free) has the lower output price; Gemini 3.1 Flash Lite (batch) offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash Fin (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Ling 3.0 Flash Fin (free) and $0.5 for Gemini 3.1 Flash Lite (batch).

Best Fit

Choose Ling 3.0 Flash Fin (free) when you care most about lower input-token price, and lower output-token price.

Choose Gemini 3.1 Flash Lite (batch) when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $0.5 for Gemini 3.1 Flash Lite (batch), saving $0.5 (100% lower).
Ling 3.0 Flash Fin (free) is free for the standard workload while the other model is estimated at $0.5.
Ling 3.0 Flash Fin (free) is free for input tokens while Gemini 3.1 Flash Lite (batch) costs $0.12 per 1M tokens.
Ling 3.0 Flash Fin (free) is free for output tokens while Gemini 3.1 Flash Lite (batch) costs $0.75 per 1M tokens.
Gemini 3.1 Flash Lite (batch) has 786.43K more context (4x larger).

Head-to-Head Specs

Feature	NewLing 3.0 Flash Fin (free) (inclusionAI)	Gemini 3.1 Flash Lite (batch) (Google)
Input Price prompt tokens per 1M	$0	$0.125
Completion Price per 1M tokens	$0	$0.75
Sample Workload Cost 1M input + 500K output	$0	$0.5
Context Window	262.14K	1.05M
Release Date	2026-08-27	2026-05-07

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Ling 3.0 Flash Fin (free)	On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $0.5 for Gemini 3.1 Flash Lite (batch), saving $0.5 (100% lower).
High-volume input processing	Ling 3.0 Flash Fin (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Ling 3.0 Flash Fin (free)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Gemini 3.1 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 3.1 Flash Lite (batch) when lower sample workload cost matters most: $0.
Gemma 4 31B (free) can replace Gemini 3.1 Flash Lite (batch) when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemini 3.1 Flash Lite (batch) when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Gemini 3.1 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 $0.1 sample workload cost.
GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.08 sample workload cost.
Llama 4 Scout offers 1.31M context with $0.28 sample workload cost.

Popular competitors

DeepSeek V4 Flash 0731 · DeepSeek · #1
MiMo-V2.5 · Xiaomi · #2
Hy3 · Tencent · #3
DeepSeek V4 Flash 0423 · DeepSeek · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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inclusionAI catalog

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Google catalog

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Open Google models

Ling 3.0 Flash Fin (free)

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

Gemini 3.1 Flash Lite (batch)

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...