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  3. Google: Gemini 3.1 Pro Preview (batch) vs Luma UNI 1 Max

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

Google: Gemini 3.1 Pro Preview (batch) vs Luma UNI 1 Max benchmark

Comparing verified benchmark accuracy, speed, and token pricing between Google: Gemini 3.1 Pro Preview (batch) and Luma UNI 1 Max. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Google: Gemini 3.1 Pro Preview (batch) and Luma UNI 1 Max present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Google
Google: Gemini 3.1 Pro Preview (batch)

Auto-discovered from OpenRouter (google/gemini-3.1-pro-preview:batch). Preview until a second source matches.

Luma Labs
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 Google: Gemini 3.1 Pro Preview (batch)
All Matchups
Compare vs:vs GPT Image 2 (High)vs Reve 2.1vs 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.

Google: Gemini 3.1 Pro Preview (batch) (0)vsLuma UNI 1 Max (5)
Google: Gemini 3.1 Pro Preview (batch): 0W (0%)Overall: Luma UNI 1 MaxLuma UNI 1 Max: 5W (100%)
← Google: Gemini 3.1 Pro Preview (batch)Luma UNI 1 Max →
🏆Luma UNI 1 Max(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark
Google: Gemini 3.1 Pro Preview (batch)vsLuma UNI 1 Max
Image Elo
—vs1,226
Prompt adherence
—vs90.2%
Text rendering
—vs90%
Google: Gemini 3.1 Pro Preview (batch): 0WLuma UNI 1 Max: 3W
🏆Luma UNI 1 Max(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark
Google: Gemini 3.1 Pro Preview (batch)vsLuma UNI 1 Max
Generation time
—vs4.4s
Google: Gemini 3.1 Pro Preview (batch): 0WLuma UNI 1 Max: 1W
🏆Luma UNI 1 Max(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark
Google: Gemini 3.1 Pro Preview (batch)vsLuma UNI 1 Max
Price per 1k images
—vs$100/1k
Google: Gemini 3.1 Pro Preview (batch): 0WLuma UNI 1 Max: 1W

Side-by-Side Benchmark Matrix

Image Elo
Google: Gemini 3.1 Pro Preview (batch)—
Luma UNI 1 Max1,226
seed-bootstrap · Aug 1, 2026
Generation time
Google: Gemini 3.1 Pro Preview (batch)—
Luma UNI 1 Max4.4s
seed-bootstrap · Aug 1, 2026
Price per 1k images
Google: Gemini 3.1 Pro Preview (batch)—
Luma UNI 1 Max$100/1k
seed-bootstrap · Aug 1, 2026
Prompt adherence
Google: Gemini 3.1 Pro Preview (batch)—
Luma UNI 1 Max90.2%
seed-bootstrap · Aug 1, 2026
Text rendering
Google: Gemini 3.1 Pro Preview (batch)—
Luma UNI 1 Max90%
seed-bootstrap · Aug 1, 2026
BenchmarkGoogle: Gemini 3.1 Pro Preview (batch)Luma UNI 1 MaxAdvantage Delta
Image Elo—
1,226
seed-bootstrap · Aug 1, 2026
—
Generation time—
4.4s
seed-bootstrap · Aug 1, 2026
—
Price per 1k images—
$100/1k
seed-bootstrap · Aug 1, 2026
—
Prompt adherence—
90.2%
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 Google: Gemini 3.1 Pro Preview (batch)
Monthly Image Production Volume25k images / month (25000 imgs)
Quick Presets:
Google: Gemini 3.1 Pro Preview (batch)$0.00 / mo
Rate: $0/1k
Luma UNI 1 Max$2,500.00 / mo
Rate: $100/1k
Estimated Cost Delta

Google: Gemini 3.1 Pro Preview (batch) is estimated to save $2,500.00/month ($30,000/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 / visionLuma UNI 1 Max

Luma UNI 1 Max is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatinsufficient dataNeed list prices.
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGinsufficient dataNeed context sizes.
Screenshots / visionLuma UNI 1 MaxLuma UNI 1 Max is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Google: Gemini 3.1 Pro Preview (batch)

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$1/1M
Output / 1M Tokens$6/1M
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, Google: Gemini 3.1 Pro Preview (batch) 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, Google: Gemini 3.1 Pro Preview (batch) 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, Google: Gemini 3.1 Pro Preview (batch) 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. Google: Gemini 3.1 Pro Preview (batch) 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 Google: Gemini 3.1 Pro Preview (batch) matchups →|All Luma UNI 1 Max matchups →
Luma UNI 1 Max vs HiDream-O1-Image-1.5 (next other)Nano Banana Pro (Gemini 3 Pro Image) vs Luma UNI 1 MaxNano Banana 2 (Gemini 3.1 Flash Image) vs Luma UNI 1 MaxNano Banana 2 Lite vs Luma UNI 1 MaxGPT Image 2 (High) vs Luma UNI 1 MaxReve 2.1 vs Luma UNI 1 Max