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

OpenAI: GPT-5.4 Nano (batch) vs Recraft V4.1 Utility Pro benchmark

Name: OpenAI: GPT-5.4 Nano (batch) vs Recraft V4.1 Utility Pro AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between OpenAI: GPT-5.4 Nano (batch) and Recraft V4.1 Utility Pro. 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-5.4 Nano (batch) holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

OpenAI: GPT-5.4 Nano (batch)Top code solve rate

ReasoningGPQA / Live

OpenAI: GPT-5.4 Nano (batch)Top logical accuracy

Best Value$/1M Tok

OpenAI: GPT-5.4 Nano (batch)Lowest API billing cost

Speed / TokTok/Sec

OpenAI: GPT-5.4 Nano (batch)Fastest stream rate

OpenAI

OpenAI: GPT-5.4 Nano (batch)

Auto-discovered from OpenRouter (openai/gpt-5.4-nano:batch). Preview until a second source matches.

Recraft

Recraft V4.1 Utility Pro

Specialized generative model for vector art, icon sets, illustrations, and commercial design assets with native brand color matching.

Img Elo 1,218$210/1k imgs

Top Rival Showdowns for OpenAI: GPT-5.4 Nano (batch)

All Matchups

Compare vs:vs Reve 2.1 vs Nano Banana Pro (Gemini 3 Pro Image)vs FLUX.2 [max]vs Ideogram 4.0 (Quality)vs Recraft V4.1 Utility

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-5.4 Nano (batch) (0)vsRecraft V4.1 Utility Pro (5)

OpenAI: GPT-5.4 Nano (batch): 0W (0%)Recraft V4.1 Utility Pro: 5W (100%)

← OpenAI: GPT-5.4 Nano (batch)Recraft V4.1 Utility Pro →

🏆Recraft V4.1 Utility Pro Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

OpenAI: GPT-5.4 Nano (batch)vsRecraft V4.1 Utility Pro

Image Elo

—vs1,218

Prompt adherence

—vs91%

Text rendering

—vs94%

OpenAI: GPT-5.4 Nano (batch): 0WRecraft V4.1 Utility Pro: 3W

🏆Recraft V4.1 Utility Pro Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

OpenAI: GPT-5.4 Nano (batch)vsRecraft V4.1 Utility Pro

Generation time

—vs4.6s

OpenAI: GPT-5.4 Nano (batch): 0WRecraft V4.1 Utility Pro: 1W

🏆Recraft V4.1 Utility Pro Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

OpenAI: GPT-5.4 Nano (batch)vsRecraft V4.1 Utility Pro

Price per 1k images

—vs$210/1k

OpenAI: GPT-5.4 Nano (batch): 0WRecraft V4.1 Utility Pro: 1W

Side-by-Side Benchmark Matrix

OpenAI: GPT-5.4 Nano (batch)Recraft V4.1 Utility Pro

Image Elo

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro1,218

Generation time

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro4.6s

Price per 1k images

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro$210/1k

Prompt adherence

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro91%

Text rendering

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro94%

Benchmark	OpenAI: GPT-5.4 Nano (batch)	Recraft V4.1 Utility Pro	Advantage Delta
Image Elo	—	1,218 seed-bootstrap · Aug 1, 2026	—
Generation time	—	4.6s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$210/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	91% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	94% seed-bootstrap · Aug 1, 2026	—

Workload Cost & Savings Calculator

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

Save 100% with OpenAI: GPT-5.4 Nano (batch)

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

OpenAI: GPT-5.4 Nano (batch)$0.00 / mo

Rate: $0/1k

Recraft V4.1 Utility Pro$5,250.00 / mo

Rate: $210/1k

Estimated Cost Delta

OpenAI: GPT-5.4 Nano (batch) is estimated to save $5,250.00/month ($63,000/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 / visionRecraft V4.1 Utility Pro

Recraft V4.1 Utility Pro 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	Recraft V4.1 Utility Pro	Recraft V4.1 Utility Pro 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-5.4 Nano (batch)

Elo n/a

SWE-bench—

Speed (tok/s)400k

Input / 1M Tokens$0.1/1M

Output / 1M Tokens$0.625/1M

Recraft

Recraft V4.1 Utility Pro

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$210/1k

Output / 1M Tokens$210/1k

Frequently Asked Questions

Which is better overall, OpenAI: GPT-5.4 Nano (batch) or Recraft V4.1 Utility Pro?: 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-5.4 Nano (batch) or Recraft V4.1 Utility Pro?: 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-5.4 Nano (batch) or Recraft V4.1 Utility Pro?: 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-5.4 Nano (batch) and Recraft V4.1 Utility Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI: GPT-5.4 Nano (batch) matchups →|All Recraft V4.1 Utility Pro matchups →

Recraft V4.1 Utility Pro vs Recraft V4.1 Utility (previous recraft)GPT Image 2 (High) vs Recraft V4.1 Utility Pro GPT Image 2 (Low / Fast) vs Recraft V4.1 Utility Pro GPT Image 1.5 vs Recraft V4.1 Utility Pro DALL-E 3 vs Recraft V4.1 Utility Pro Reve 2.1 vs Recraft V4.1 Utility Pro

Side-by-Side Benchmark Matrix

OpenAI: GPT-5.4 Nano (batch)Recraft V4.1 Utility Pro

Image Elo

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro1,218

Generation time

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro4.6s

Price per 1k images

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro$210/1k

Prompt adherence

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro91%

Text rendering

OpenAI: GPT-5.4 Nano (batch)—

Recraft V4.1 Utility Pro94%

Benchmark	OpenAI: GPT-5.4 Nano (batch)	Recraft V4.1 Utility Pro	Advantage Delta
Image Elo	—	1,218 seed-bootstrap · Aug 1, 2026	—
Generation time	—	4.6s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$210/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	91% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	94% 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 / visionRecraft V4.1 Utility Pro

Recraft V4.1 Utility Pro 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	Recraft V4.1 Utility Pro	Recraft V4.1 Utility Pro is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, OpenAI: GPT-5.4 Nano (batch) or Recraft V4.1 Utility Pro?

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-5.4 Nano (batch) or Recraft V4.1 Utility Pro?

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-5.4 Nano (batch) or Recraft V4.1 Utility Pro?

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-5.4 Nano (batch) and Recraft V4.1 Utility Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.