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

Nano Banana 2 Lite vs Qwen: Qwen3 30B A3B Instruct 2507 benchmark

Name: Nano Banana 2 Lite vs Qwen: Qwen3 30B A3B Instruct 2507 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between Nano Banana 2 Lite and Qwen: Qwen3 30B A3B Instruct 2507. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

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

Alibaba

Qwen: Qwen3 30B A3B Instruct 2507

Auto-discovered from OpenRouter (qwen/qwen3-30b-a3b-instruct-2507). Preview until a second source matches.

Nano Banana (Gemini Image) Lineage & Sibling Variants

3 models

Currently comparing Nano Banana 2 Lite vs Qwen: Qwen3 30B A3B Instruct 2507. Alternative family tiers available.

Active: Nano Banana 2 Lite

Nano Banana Pro (Gemini 3 Pro Image)$134/1k Nano Banana 2 (Gemini 3.1 Flash Image)$67/1k

Top Rival Showdowns for Nano Banana 2 Lite

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

Head-to-Head Comparison

Overall Matchup Breakdown

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

Nano Banana 2 Lite (5)vsQwen: Qwen3 30B A3B Instruct 2507 (0)

Nano Banana 2 Lite: 5W (100%)Overall: Nano Banana 2 LiteQwen: Qwen3 30B A3B Instruct 2507: 0W (0%)

← Nano Banana 2 LiteQwen: Qwen3 30B A3B Instruct 2507 →

🏆Nano Banana 2 Lite(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

Nano Banana 2 LitevsQwen: Qwen3 30B A3B Instruct 2507

Image Elo

1,293vs—

Prompt adherence

89.5%vs—

Text rendering

90%vs—

Nano Banana 2 Lite: 3WQwen: Qwen3 30B A3B Instruct 2507: 0W

🏆Nano Banana 2 Lite(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

Nano Banana 2 LitevsQwen: Qwen3 30B A3B Instruct 2507

Generation time

1.4svs—

Nano Banana 2 Lite: 1WQwen: Qwen3 30B A3B Instruct 2507: 0W

🏆Nano Banana 2 Lite(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

Nano Banana 2 LitevsQwen: Qwen3 30B A3B Instruct 2507

Price per 1k images

$33.6/1kvs—

Nano Banana 2 Lite: 1WQwen: Qwen3 30B A3B Instruct 2507: 0W

Side-by-Side Benchmark Matrix

Image Elo

Nano Banana 2 Lite1,293

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Generation time

Nano Banana 2 Lite1.4s

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Price per 1k images

Nano Banana 2 Lite$33.6/1k

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Prompt adherence

Nano Banana 2 Lite89.5%

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Text rendering

Nano Banana 2 Lite90%

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Benchmark	Nano Banana 2 Lite	Qwen: Qwen3 30B A3B Instruct 2507	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	—	—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 100% with Qwen: Qwen3 30B A3B Instruct 2507

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

Nano Banana 2 Lite$840.00 / mo

Rate: $33.6/1k

Qwen: Qwen3 30B A3B Instruct 2507$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Qwen: Qwen3 30B A3B Instruct 2507 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.

Community Sentiment

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

Nano Banana 2 Lite

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$33.6/1k

Output / 1M Tokens$33.6/1k

Alibaba

Qwen: Qwen3 30B A3B Instruct 2507

Elo n/a

SWE-bench—

Speed (tok/s)262k

Input / 1M Tokens$0.048/1M

Output / 1M Tokens$0.193/1M

Frequently Asked Questions

Which is better overall, Nano Banana 2 Lite or Qwen: Qwen3 30B A3B Instruct 2507?: 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, Nano Banana 2 Lite or Qwen: Qwen3 30B A3B Instruct 2507?: 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, Nano Banana 2 Lite or Qwen: Qwen3 30B A3B Instruct 2507?: 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. Nano Banana 2 Lite and Qwen: Qwen3 30B A3B Instruct 2507 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Nano Banana 2 Lite matchups →|All Qwen: Qwen3 30B A3B Instruct 2507 matchups →

Nano Banana 2 Lite vs Nano Banana 2 (Gemini 3.1 Flash Image) (previous nano-banana)

Side-by-Side Benchmark Matrix

Image Elo

Nano Banana 2 Lite1,293

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Generation time

Nano Banana 2 Lite1.4s

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Price per 1k images

Nano Banana 2 Lite$33.6/1k

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Prompt adherence

Nano Banana 2 Lite89.5%

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Text rendering

Nano Banana 2 Lite90%

seed-bootstrap · Aug 1, 2026

Qwen: Qwen3 30B A3B Instruct 2507—

Benchmark	Nano Banana 2 Lite	Qwen: Qwen3 30B A3B Instruct 2507	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, Nano Banana 2 Lite or Qwen: Qwen3 30B A3B Instruct 2507?

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, Nano Banana 2 Lite or Qwen: Qwen3 30B A3B Instruct 2507?

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, Nano Banana 2 Lite or Qwen: Qwen3 30B A3B Instruct 2507?

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. Nano Banana 2 Lite and Qwen: Qwen3 30B A3B Instruct 2507 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.