Pairwise benchmark snapshot · Aug 1, 2026

Ideogram 4.0 (Quality) vs Luma UNI 1 Max benchmark

Name: Ideogram 4.0 (Quality) vs Luma UNI 1 Max AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between Ideogram 4.0 (Quality) and Luma UNI 1 Max. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Verified Head-to-Head Advantage Breakdown

4 direct benchmark disciplines evaluated across capability, speed, and cost

Ideogram 4.0 (Quality) (2)Luma UNI 1 Max (2)

Ideogram 4.0 (Quality)

2 of 4 Wins

✓Prompt adherence✓Text rendering

Luma UNI 1 Max

2 of 4 Wins

✓Image Elo✓Generation time

Ideogram

Leads 2 of 4 metrics

Ideogram 4.0 (Quality)

Industry-leading typography, graphic design, and in-image text layout model with precise kerning and complex banner generation.

Img Elo 1,216$100/1k imgs

Luma Labs

Leads 2 of 4 metrics

Luma UNI 1 Max

Luma Labs universal 3D-aware image synthesis engine with spatial geometry consistency.

Img Elo 1,226$100/1k imgs

Top Rival Showdowns for Ideogram 4.0 (Quality)

All Matchups

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

Image Quality LeaderLuma UNI 1 Max Wins

Luma UNI 1 Max

Δ 10 Image Elo pts

Generation Speed LeaderLuma UNI 1 Max Wins

Luma UNI 1 Max

4.4s per render

Value per Dollar LeaderIdeogram 4.0 (Quality) Wins

Ideogram 4.0 (Quality)

$100/1k images

Head-to-Head Comparison

Overall Matchup Breakdown

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

Ideogram 4.0 (Quality) (2)vsLuma UNI 1 Max (2)

Ideogram 4.0 (Quality): 2W (50%)Overall: Even matchupLuma UNI 1 Max: 2W (50%)

← Ideogram 4.0 (Quality)1 tiesLuma UNI 1 Max →

🏆Ideogram 4.0 (Quality)(2/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

Ideogram 4.0 (Quality)vsLuma UNI 1 Max

Image Elo

1,216vs1,226+10

Prompt adherence

91.5%vs90.2%+1.3%

Text rendering

96.5%vs90%+6.5%

Ideogram 4.0 (Quality): 2WLuma UNI 1 Max: 1W

🏆Luma UNI 1 Max(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

Ideogram 4.0 (Quality)vsLuma UNI 1 Max

Generation time

5svs4.4s+0.6s

Ideogram 4.0 (Quality): 0WLuma UNI 1 Max: 1W

Tied (0-0)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

Ideogram 4.0 (Quality)vsLuma UNI 1 Max

Price per 1k images

$100/1kvs$100/1k

Ideogram 4.0 (Quality): 0WLuma UNI 1 Max: 0W

Side-by-Side Benchmark Matrix

Image Elo+10

Ideogram 4.0 (Quality)1,216

seed-bootstrap · Aug 1, 2026

Luma UNI 1 Max1,226

seed-bootstrap · Aug 1, 2026

Generation time+0.6s

Ideogram 4.0 (Quality)5s

seed-bootstrap · Aug 1, 2026

Luma UNI 1 Max4.4s

seed-bootstrap · Aug 1, 2026

Price per 1k images

Ideogram 4.0 (Quality)$100/1k

seed-bootstrap · Aug 1, 2026

Luma UNI 1 Max$100/1k

seed-bootstrap · Aug 1, 2026

Prompt adherence+1.3%

Ideogram 4.0 (Quality)91.5%

seed-bootstrap · Aug 1, 2026

Luma UNI 1 Max90.2%

seed-bootstrap · Aug 1, 2026

Text rendering+6.5%

Ideogram 4.0 (Quality)96.5%

seed-bootstrap · Aug 1, 2026

Luma UNI 1 Max90%

seed-bootstrap · Aug 1, 2026

Benchmark	Ideogram 4.0 (Quality)	Luma UNI 1 Max	Advantage Delta
Image Elo	1,216 seed-bootstrap · Aug 1, 2026	1,226 seed-bootstrap · Aug 1, 2026	+10
Generation time	5s seed-bootstrap · Aug 1, 2026	4.4s seed-bootstrap · Aug 1, 2026	+0.6s
Price per 1k images	$100/1k seed-bootstrap · Aug 1, 2026	$100/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	91.5% seed-bootstrap · Aug 1, 2026	90.2% seed-bootstrap · Aug 1, 2026	+1.3%
Text rendering	96.5% seed-bootstrap · Aug 1, 2026	90% seed-bootstrap · Aug 1, 2026	+6.5%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

Ideogram 4.0 (Quality)$2,500.00 / mo

Rate: $100/1k

Luma UNI 1 Max$2,500.00 / mo

Rate: $100/1k

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

Cast Your Matchup Vote

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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

Ideogram

Ideogram 4.0 (Quality)

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$100/1k

Output / 1M Tokens$100/1k

Luma Labs

Luma UNI 1 Max

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$100/1k

Output / 1M Tokens$100/1k

Frequently Asked Questions

Which is better overall, Ideogram 4.0 (Quality) or Luma UNI 1 Max?: 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, Ideogram 4.0 (Quality) or Luma UNI 1 Max?: 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, Ideogram 4.0 (Quality) or Luma UNI 1 Max?: 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. Ideogram 4.0 (Quality) and Luma UNI 1 Max Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Ideogram 4.0 (Quality) matchups →|All Luma UNI 1 Max matchups →

Ideogram 4.0 (Quality) vs Ideogram 4.0 Open Weights (next ideogram)Luma UNI 1 Max vs HiDream-O1-Image-1.5 (next other)Ideogram 4.0 Open Weights vs Luma UNI 1 Max GPT Image 2 (High) vs Luma UNI 1 Max Reve 2.1 vs Luma UNI 1 Max Nano Banana Pro (Gemini 3 Pro Image) vs Luma UNI 1 Max

Benchmark

Ideogram 4.0 (Quality)

Luma UNI 1 Max

Advantage Delta

Image Elo

1,216

seed-bootstrap · Aug 1, 2026

1,226

seed-bootstrap · Aug 1, 2026

+10

Generation time

seed-bootstrap · Aug 1, 2026

4.4s

seed-bootstrap · Aug 1, 2026

+0.6s

Price per 1k images

$100/1k

seed-bootstrap · Aug 1, 2026

$100/1k

seed-bootstrap · Aug 1, 2026

—

Prompt adherence

91.5%

seed-bootstrap · Aug 1, 2026

90.2%

seed-bootstrap · Aug 1, 2026

+1.3%

Text rendering

96.5%

seed-bootstrap · Aug 1, 2026

90%

seed-bootstrap · Aug 1, 2026

+6.5%

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, Ideogram 4.0 (Quality) or Luma UNI 1 Max?

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, Ideogram 4.0 (Quality) or Luma UNI 1 Max?

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, Ideogram 4.0 (Quality) or Luma UNI 1 Max?

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. Ideogram 4.0 (Quality) and Luma UNI 1 Max Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.