API cost decision in 10 seconds

Nano Banana 2.1 vs LFM2.5-2.6B

Pick LFM2.5-2.6B when budget and context both matter.

Page updated: 2026-10-24T22:08:08Z Data confirmed: 2026-10-25T00:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick LFM2.5-2.6B when budget and context both matter.

On the standard 1M input plus 500K output workload, LFM2.5-2.6B is estimated at $0.6 vs $5.25 for Nano Banana 2.1, saving $4.65 (88.6% lower).

Cost-first pickLFM2.5-2.6B

Context-first pickLFM2.5-2.6B

Sample savings$4.6588.6%

10x traffic gap$46.5

LFM2.5-2.6B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $46.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

LFM2.5-2.6B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Nano Banana 2.1	LFM2.5-2.6B
Input-heavy / RAG	5M input + 500K output	LFM2.5-2.6B	$11.25	$2
Balanced workload	1M input + 1M output	LFM2.5-2.6B	$9	$0.85
Output-heavy chatbot	1M input + 5M output	LFM2.5-2.6B	$39	$2.85

Cheaper input LFM2.5-2.6B $1.5 vs $0.35 / 1M

LFM2.5-2.6B is $1.15 cheaper per 1M input tokens (76.7% lower; 4.29x difference).

Cheaper output LFM2.5-2.6B $7.5 vs $0.5 / 1M

LFM2.5-2.6B is $7 cheaper per 1M output tokens (93.3% lower; 15x difference).

Larger context LFM2.5-2.6B 65.54K vs 128K

LFM2.5-2.6B has 62.46K more context (1.95x larger).

Sample workload LFM2.5-2.6B $5.25 vs $0.6

LFM2.5-2.6B is $4.65 cheaper on the standard workload (88.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Nano Banana 2.1 Calculating… Estimated API cost

LFM2.5-2.6B 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

LFM2.5-2.6B has the lower input price; LFM2.5-2.6B has the lower output price; LFM2.5-2.6B offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-2.6B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $5.25 for Nano Banana 2.1 and $0.6 for LFM2.5-2.6B.

Best Fit

Choose Nano Banana 2.1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose LFM2.5-2.6B when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, LFM2.5-2.6B is estimated at $0.6 vs $5.25 for Nano Banana 2.1, saving $4.65 (88.6% lower).
LFM2.5-2.6B is $4.65 cheaper on the standard workload (88.6% lower).
LFM2.5-2.6B is $1.15 cheaper per 1M input tokens (76.7% lower; 4.29x difference).
LFM2.5-2.6B is $7 cheaper per 1M output tokens (93.3% lower; 15x difference).
LFM2.5-2.6B has 62.46K more context (1.95x larger).

Head-to-Head Specs

Feature	Nano Banana 2.1 (Google)	LFM2.5-2.6B (LiquidAI)
Input Price prompt tokens per 1M	$1.5	$0.35
Completion Price per 1M tokens	$7.5	$0.5
Sample Workload Cost 1M input + 500K output	$5.25	$0.6
Context Window	65.54K	128K
Release Date	2026-10-06	2026-08-11

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	LFM2.5-2.6B	On the standard 1M input plus 500K output workload, LFM2.5-2.6B is estimated at $0.6 vs $5.25 for Nano Banana 2.1, saving $4.65 (88.6% lower).
High-volume input processing	LFM2.5-2.6B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	LFM2.5-2.6B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	LFM2.5-2.6B	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 Nano Banana 2.1 when lower sample workload cost matters most: $0.
Gemma 4 31B (free) can replace Nano Banana 2.1 when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Nano Banana 2.1 when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Nano Banana 2.1 when lower sample workload cost matters most: $0.

Larger context near this budget

Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.

Popular competitors

Kimi K3.1 Pro · MoonshotAI · #1
DeepSeek V4.1 Flash 1017 · DeepSeek · #2
DeepSeek V4.1 Flash · DeepSeek · #3
GLM 5.3 Flash · Z.ai · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Google catalog

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LiquidAI catalog

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

Open LiquidAI models

Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

LFM2.5-2.6B

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...