Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Google: Gemma 4 26B A4B (free) vs Nano Banana 2 Lite benchmark

Name: Google: Gemma 4 26B A4B (free) vs Nano Banana 2 Lite AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between Google: Gemma 4 26B A4B (free) and Nano Banana 2 Lite. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Google: Gemma 4 26B A4B (free) holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

Google: Gemma 4 26B A4B (free)Top code solve rate

ReasoningGPQA / Live

Google: Gemma 4 26B A4B (free)Top logical accuracy

Best Value$/1M Tok

Google: Gemma 4 26B A4B (free)Lowest API billing cost

Speed / TokTok/Sec

Google: Gemma 4 26B A4B (free)Fastest stream rate

Google

Google: Gemma 4 26B A4B (free)

Auto-discovered from OpenRouter (google/gemma-4-26b-a4b-it:free). Preview until a second source matches.

Google

Nano Banana 2 Lite

Sub-1.5 second ultra-low latency tier for real-time applications and mobile game asset pipelines.

Lite / Sub-1.5sImg Elo 1,293$33.6/1k imgs

Top Rival Showdowns for Google: Gemma 4 26B A4B (free)

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 vs FLUX.2 [max]vs Ideogram 4.0 (Quality)vs Recraft V4.1 Utility Pro

Image Quality Leader

No shared data

Single model data

Generation Speed Leader

No shared data

No latency data

Value per Dollar Leader

No shared data

Unpriced

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Google: Gemma 4 26B A4B (free) (0)vsNano Banana 2 Lite (5)

Google: Gemma 4 26B A4B (free): 0W (0%)Nano Banana 2 Lite: 5W (100%)

← Google: Gemma 4 26B A4B (free)Nano Banana 2 Lite →

🏆Nano Banana 2 Lite Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

Google: Gemma 4 26B A4B (free)vsNano Banana 2 Lite

Image Elo

—vs1,293

Prompt adherence

—vs89.5%

Text rendering

—vs90%

Google: Gemma 4 26B A4B (free): 0WNano Banana 2 Lite: 3W

🏆Nano Banana 2 Lite Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

Google: Gemma 4 26B A4B (free)vsNano Banana 2 Lite

Generation time

—vs1.4s

Google: Gemma 4 26B A4B (free): 0WNano Banana 2 Lite: 1W

🏆Nano Banana 2 Lite Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

Google: Gemma 4 26B A4B (free)vsNano Banana 2 Lite

Price per 1k images

—vs$33.6/1k

Google: Gemma 4 26B A4B (free): 0WNano Banana 2 Lite: 1W

Side-by-Side Benchmark Matrix

Google: Gemma 4 26B A4B (free)Nano Banana 2 Lite

Image Elo

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite1,293

Generation time

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite1.4s

Price per 1k images

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite$33.6/1k

Prompt adherence

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite89.5%

Text rendering

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite90%

Benchmark	Google: Gemma 4 26B A4B (free)	Nano Banana 2 Lite	Advantage Delta
Image Elo	—	1,293 seed-bootstrap · Aug 1, 2026	—
Generation time	—	1.4s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$33.6/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	89.5% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	90% seed-bootstrap · Aug 1, 2026	—

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 100% with Google: Gemma 4 26B A4B (free)

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

Google: Gemma 4 26B A4B (free)$0.00 / mo

Rate: $0/1k

Nano Banana 2 Lite$840.00 / mo

Rate: $33.6/1k

Estimated Cost Delta

Google: Gemma 4 26B A4B (free) is estimated to save $840.00/month ($10,080/year).

Based on 25k images generated

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionNano Banana 2 Lite

Nano Banana 2 Lite is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	Nano Banana 2 Lite	Nano Banana 2 Lite is the side marked multimodal in the catalog.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Google

Google: Gemma 4 26B A4B (free)

Elo n/a

SWE-bench—

Speed (tok/s)262k

Input / 1M Tokens$0/1M

Output / 1M Tokens$0/1M

Google

Nano Banana 2 Lite

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$33.6/1k

Output / 1M Tokens$33.6/1k

Frequently Asked Questions

Which is better overall, Google: Gemma 4 26B A4B (free) or Nano Banana 2 Lite?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Google: Gemma 4 26B A4B (free) or Nano Banana 2 Lite?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: List prices are missing for at least one model.
Which is faster, Google: Gemma 4 26B A4B (free) or Nano Banana 2 Lite?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Google: Gemma 4 26B A4B (free) and Nano Banana 2 Lite Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Gemma 4 26B A4B (free) matchups →|All Nano Banana 2 Lite matchups →

Nano Banana 2 Lite vs Nano Banana 2 (Gemini 3.1 Flash Image) (previous nano-banana)Nano Banana Pro (Gemini 3 Pro Image) vs Nano Banana 2 Lite GPT Image 2 (High) vs Nano Banana 2 Lite Reve 2.1 vs Nano Banana 2 Lite FLUX.2 [max] vs Nano Banana 2 Lite FLUX.2 [flex] vs Nano Banana 2 Lite

Side-by-Side Benchmark Matrix

Google: Gemma 4 26B A4B (free)Nano Banana 2 Lite

Image Elo

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite1,293

Generation time

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite1.4s

Price per 1k images

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite$33.6/1k

Prompt adherence

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite89.5%

Text rendering

Google: Gemma 4 26B A4B (free)—

Nano Banana 2 Lite90%

Benchmark	Google: Gemma 4 26B A4B (free)	Nano Banana 2 Lite	Advantage Delta
Image Elo	—	1,293 seed-bootstrap · Aug 1, 2026	—
Generation time	—	1.4s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$33.6/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	89.5% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	90% seed-bootstrap · Aug 1, 2026	—

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionNano Banana 2 Lite

Nano Banana 2 Lite is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	Nano Banana 2 Lite	Nano Banana 2 Lite is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Google: Gemma 4 26B A4B (free) or Nano Banana 2 Lite?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Google: Gemma 4 26B A4B (free) or Nano Banana 2 Lite?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

List prices are missing for at least one model.

Which is faster, Google: Gemma 4 26B A4B (free) or Nano Banana 2 Lite?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Google: Gemma 4 26B A4B (free) and Nano Banana 2 Lite Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.