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

OpenAI: GPT-5.5 vs Nano Banana Pro (Gemini 3 Pro Image) benchmark

Name: OpenAI: GPT-5.5 vs Nano Banana Pro (Gemini 3 Pro Image) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between OpenAI: GPT-5.5 and Nano Banana Pro (Gemini 3 Pro Image). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

OpenAI: GPT-5.5 holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

OpenAI: GPT-5.5Top code solve rate

ReasoningGPQA / Live

OpenAI: GPT-5.5Top logical accuracy

Best Value$/1M Tok

OpenAI: GPT-5.5Lowest API billing cost

Speed / TokTok/Sec

OpenAI: GPT-5.5Fastest stream rate

OpenAI

OpenAI: GPT-5.5

Auto-discovered from OpenRouter (openai/gpt-5.5). Preview until a second source matches.

Google

Nano Banana Pro (Gemini 3 Pro Image)

Google DeepMind frontier multimodal image generation flagship with Deep Research and complex multi-object spatial reasoning.

Img Elo 1,299$134/1k imgs

Top Rival Showdowns for OpenAI: GPT-5.5

All Matchups

Compare vs:vs Reve 2.1 vs Nano Banana 2 (Gemini 3.1 Flash Image)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.

OpenAI: GPT-5.5 (0)vsNano Banana Pro (Gemini 3 Pro Image) (5)

OpenAI: GPT-5.5: 0W (0%)Nano Banana Pro (Gemini 3 Pro Image): 5W (100%)

← OpenAI: GPT-5.5Nano Banana Pro (Gemini 3 Pro Image) →

🏆Nano Banana Pro (Gemini 3 Pro Image) Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

OpenAI: GPT-5.5vsNano Banana Pro (Gemini 3 Pro Image)

Image Elo

—vs1,299

Prompt adherence

—vs92.5%

Text rendering

—vs93%

OpenAI: GPT-5.5: 0WNano Banana Pro (Gemini 3 Pro Image): 3W

🏆Nano Banana Pro (Gemini 3 Pro Image) Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

OpenAI: GPT-5.5vsNano Banana Pro (Gemini 3 Pro Image)

Generation time

—vs4.2s

OpenAI: GPT-5.5: 0WNano Banana Pro (Gemini 3 Pro Image): 1W

🏆Nano Banana Pro (Gemini 3 Pro Image) Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

OpenAI: GPT-5.5vsNano Banana Pro (Gemini 3 Pro Image)

Price per 1k images

—vs$134/1k

OpenAI: GPT-5.5: 0WNano Banana Pro (Gemini 3 Pro Image): 1W

Side-by-Side Benchmark Matrix

OpenAI: GPT-5.5Nano Banana Pro (Gemini 3 Pro Image)

Image Elo

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)1,299

Generation time

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)4.2s

Price per 1k images

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)$134/1k

Prompt adherence

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)92.5%

Text rendering

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)93%

Benchmark	OpenAI: GPT-5.5	Nano Banana Pro (Gemini 3 Pro Image)	Advantage Delta
Image Elo	—	1,299 seed-bootstrap · Aug 1, 2026	—
Generation time	—	4.2s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$134/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	92.5% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	93% seed-bootstrap · Aug 1, 2026	—

Workload Cost & Savings Calculator

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

Save 100% with OpenAI: GPT-5.5

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

OpenAI: GPT-5.5$0.00 / mo

Rate: $0/1k

Nano Banana Pro (Gemini 3 Pro Image)$3,350.00 / mo

Rate: $134/1k

Estimated Cost Delta

OpenAI: GPT-5.5 is estimated to save $3,350.00/month ($40,200/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 Pro (Gemini 3 Pro Image)

Nano Banana Pro (Gemini 3 Pro Image) 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 Pro (Gemini 3 Pro Image)	Nano Banana Pro (Gemini 3 Pro Image) is the side marked multimodal in the catalog.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

OpenAI

OpenAI: GPT-5.5

Elo n/a

SWE-bench—

Speed (tok/s)1.1M

Input / 1M Tokens$5/1M

Output / 1M Tokens$30/1M

Google

Nano Banana Pro (Gemini 3 Pro Image)

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$134/1k

Output / 1M Tokens$134/1k

Frequently Asked Questions

Which is better overall, OpenAI: GPT-5.5 or Nano Banana Pro (Gemini 3 Pro Image)?: 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, OpenAI: GPT-5.5 or Nano Banana Pro (Gemini 3 Pro Image)?: 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, OpenAI: GPT-5.5 or Nano Banana Pro (Gemini 3 Pro Image)?: 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. OpenAI: GPT-5.5 and Nano Banana Pro (Gemini 3 Pro Image) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: GPT-5.5 matchups →|All Nano Banana Pro (Gemini 3 Pro Image) matchups →

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

Side-by-Side Benchmark Matrix

OpenAI: GPT-5.5Nano Banana Pro (Gemini 3 Pro Image)

Image Elo

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)1,299

Generation time

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)4.2s

Price per 1k images

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)$134/1k

Prompt adherence

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)92.5%

Text rendering

OpenAI: GPT-5.5—

Nano Banana Pro (Gemini 3 Pro Image)93%

Benchmark	OpenAI: GPT-5.5	Nano Banana Pro (Gemini 3 Pro Image)	Advantage Delta
Image Elo	—	1,299 seed-bootstrap · Aug 1, 2026	—
Generation time	—	4.2s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$134/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	92.5% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	93% 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 Pro (Gemini 3 Pro Image)

Nano Banana Pro (Gemini 3 Pro Image) 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 Pro (Gemini 3 Pro Image)	Nano Banana Pro (Gemini 3 Pro Image) is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, OpenAI: GPT-5.5 or Nano Banana Pro (Gemini 3 Pro Image)?

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, OpenAI: GPT-5.5 or Nano Banana Pro (Gemini 3 Pro Image)?

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, OpenAI: GPT-5.5 or Nano Banana Pro (Gemini 3 Pro Image)?

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. OpenAI: GPT-5.5 and Nano Banana Pro (Gemini 3 Pro Image) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.