Pairwise benchmark snapshot · Aug 1, 2026

GPT Image 2 (Low / Fast) vs Nano Banana 2 Lite benchmark

Name: GPT Image 2 (Low / Fast) vs Nano Banana 2 Lite AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT Image 2 (Low / Fast) (OpenAI) and Nano Banana 2 Lite (Google) using the latest snapshots we have as of Aug 1, 2026. Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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OpenAI

GPT Image 2 (Low / Fast)

Fast distilled tier of GPT Image 2 designed for high-throughput interactive creative workflows at 70% lower price.

Google

Nano Banana 2 Lite

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

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT Image 2 (Low / Fast) (0)vsNano Banana 2 Lite (0)

GPT Image 2 (Low / Fast): 0W (50%)Overall: Even matchupNano Banana 2 Lite: 0W (50%)

← GPT Image 2 (Low / Fast)Nano Banana 2 Lite →

Tied (0/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs—

Coding Elo

—vs—

SWE-bench

—vs—

LiveBench

—vs—

GPQA Diamond

—vs—

GPT Image 2 (Low / Fast): 0WNano Banana 2 Lite: 0W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

GPT Image 2 (Low / Fast): 0WNano Banana 2 Lite: 0W

Tied (0/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs—

Input price

—vs—

Context window

—vs—

GPT Image 2 (Low / Fast): 0WNano Banana 2 Lite: 0W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageNano Banana 2 Lite 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

No shared data

Full Benchmark Score Matrix

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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 / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

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	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

Community Sentiment

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CompareLLM Matrix

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LIVE

OpenAI

GPT Image 2 (Low / Fast)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Google

Nano Banana 2 Lite

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, GPT Image 2 (Low / Fast) 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, GPT Image 2 (Low / Fast) 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, GPT Image 2 (Low / Fast) 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. GPT Image 2 (Low / Fast) 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 GPT Image 2 (Low / Fast) matchups →|All Nano Banana 2 Lite matchups →

GPT Image 2 (Low / Fast) vs GPT Image 2 (High) (previous gpt-image)Nano Banana 2 Lite vs Nano Banana 2 (Gemini 3.1 Flash Image) (previous nano-banana)GPT Image 2 (High) vs Nano Banana 2 Lite Nano Banana Pro (Gemini 3 Pro Image) vs Nano Banana 2 Lite GPT Image 1.5 vs Nano Banana 2 Lite DALL-E 3 vs Nano Banana 2 Lite

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT Image 2 (Low / Fast) (0)vsNano Banana 2 Lite (0)

GPT Image 2 (Low / Fast): 0W (50%)Overall: Even matchupNano Banana 2 Lite: 0W (50%)

← GPT Image 2 (Low / Fast)Nano Banana 2 Lite →

Tied (0/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs—

Coding Elo

—vs—

SWE-bench

—vs—

LiveBench

—vs—

GPQA Diamond

—vs—

GPT Image 2 (Low / Fast): 0WNano Banana 2 Lite: 0W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

GPT Image 2 (Low / Fast): 0WNano Banana 2 Lite: 0W

Tied (0/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs—

Input price

—vs—

Context window

—vs—

GPT Image 2 (Low / Fast): 0WNano Banana 2 Lite: 0W

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 / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

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	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

Frequently Asked Questions

Which is better overall, GPT Image 2 (Low / Fast) 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, GPT Image 2 (Low / Fast) 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, GPT Image 2 (Low / Fast) 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. GPT Image 2 (Low / Fast) and Nano Banana 2 Lite Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.