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

Google: Gemma 3 12B vs MAI-Image-2.5-Flash benchmark

Name: Google: Gemma 3 12B vs MAI-Image-2.5-Flash AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between Google: Gemma 3 12B and MAI-Image-2.5-Flash. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Google: Gemma 3 12B holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

Google: Gemma 3 12BTop code solve rate

ReasoningGPQA / Live

Google: Gemma 3 12BTop logical accuracy

Best Value$/1M Tok

Google: Gemma 3 12BLowest API billing cost

Speed / TokTok/Sec

Google: Gemma 3 12BFastest stream rate

Google

Google: Gemma 3 12B

Auto-discovered from OpenRouter (google/gemma-3-12b-it). Preview until a second source matches.

Microsoft AI

MAI-Image-2.5-Flash

Cost-optimized Microsoft AI image model delivering sub-2 second responses at $20/1k images.

FlashImg Elo 1,231$20/1k imgs

Top Rival Showdowns for Google: Gemma 3 12B

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 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.

Google: Gemma 3 12B (0)vsMAI-Image-2.5-Flash (5)

Google: Gemma 3 12B: 0W (0%)MAI-Image-2.5-Flash: 5W (100%)

← Google: Gemma 3 12BMAI-Image-2.5-Flash →

🏆MAI-Image-2.5-Flash Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

Google: Gemma 3 12BvsMAI-Image-2.5-Flash

Image Elo

—vs1,231

Prompt adherence

—vs88.5%

Text rendering

—vs89%

Google: Gemma 3 12B: 0WMAI-Image-2.5-Flash: 3W

🏆MAI-Image-2.5-Flash Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

Google: Gemma 3 12BvsMAI-Image-2.5-Flash

Generation time

—vs1.6s

Google: Gemma 3 12B: 0WMAI-Image-2.5-Flash: 1W

🏆MAI-Image-2.5-Flash Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

Google: Gemma 3 12BvsMAI-Image-2.5-Flash

Price per 1k images

—vs$20/1k

Google: Gemma 3 12B: 0WMAI-Image-2.5-Flash: 1W

Side-by-Side Benchmark Matrix

Google: Gemma 3 12BMAI-Image-2.5-Flash

Image Elo

Google: Gemma 3 12B—

MAI-Image-2.5-Flash1,231

Generation time

Google: Gemma 3 12B—

MAI-Image-2.5-Flash1.6s

Price per 1k images

Google: Gemma 3 12B—

MAI-Image-2.5-Flash$20/1k

Prompt adherence

Google: Gemma 3 12B—

MAI-Image-2.5-Flash88.5%

Text rendering

Google: Gemma 3 12B—

MAI-Image-2.5-Flash89%

Benchmark	Google: Gemma 3 12B	MAI-Image-2.5-Flash	Advantage Delta
Image Elo	—	1,231 seed-bootstrap · Aug 1, 2026	—
Generation time	—	1.6s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$20/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	88.5% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	89% seed-bootstrap · Aug 1, 2026	—

Workload Cost & Savings Calculator

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

Save 100% with Google: Gemma 3 12B

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

Google: Gemma 3 12B$0.00 / mo

Rate: $0/1k

MAI-Image-2.5-Flash$500.00 / mo

Rate: $20/1k

Estimated Cost Delta

Google: Gemma 3 12B is estimated to save $500.00/month ($6,000/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 / visionMAI-Image-2.5-Flash

MAI-Image-2.5-Flash 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	MAI-Image-2.5-Flash	MAI-Image-2.5-Flash 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

Google

Google: Gemma 3 12B

Elo n/a

SWE-bench—

Speed (tok/s)131k

Input / 1M Tokens$0.05/1M

Output / 1M Tokens$0.15/1M

Microsoft AI

MAI-Image-2.5-Flash

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$20/1k

Output / 1M Tokens$20/1k

Frequently Asked Questions

Which is better overall, Google: Gemma 3 12B or MAI-Image-2.5-Flash?: 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: Gemma 3 12B or MAI-Image-2.5-Flash?: 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: Gemma 3 12B or MAI-Image-2.5-Flash?: 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: Gemma 3 12B and MAI-Image-2.5-Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Gemma 3 12B matchups →|All MAI-Image-2.5-Flash matchups →

MAI-Image-2.5-Flash vs MAI-Image-2.5 (previous other)Nano Banana Pro (Gemini 3 Pro Image) vs MAI-Image-2.5-Flash Nano Banana 2 (Gemini 3.1 Flash Image) vs MAI-Image-2.5-Flash Nano Banana 2 Lite vs MAI-Image-2.5-Flash GPT Image 2 (High) vs MAI-Image-2.5-Flash Reve 2.1 vs MAI-Image-2.5-Flash

Side-by-Side Benchmark Matrix

Google: Gemma 3 12BMAI-Image-2.5-Flash

Image Elo

Google: Gemma 3 12B—

MAI-Image-2.5-Flash1,231

Generation time

Google: Gemma 3 12B—

MAI-Image-2.5-Flash1.6s

Price per 1k images

Google: Gemma 3 12B—

MAI-Image-2.5-Flash$20/1k

Prompt adherence

Google: Gemma 3 12B—

MAI-Image-2.5-Flash88.5%

Text rendering

Google: Gemma 3 12B—

MAI-Image-2.5-Flash89%

Benchmark

Google: Gemma 3 12B

MAI-Image-2.5-Flash

Advantage Delta

Image Elo

—

1,231

seed-bootstrap · Aug 1, 2026

—

Generation time

—

1.6s

seed-bootstrap · Aug 1, 2026

—

Price per 1k images

—

$20/1k

seed-bootstrap · Aug 1, 2026

—

Prompt adherence

—

88.5%

seed-bootstrap · Aug 1, 2026

—

Text rendering

—

89%

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 / visionMAI-Image-2.5-Flash

MAI-Image-2.5-Flash 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	MAI-Image-2.5-Flash	MAI-Image-2.5-Flash is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Google: Gemma 3 12B or MAI-Image-2.5-Flash?

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: Gemma 3 12B or MAI-Image-2.5-Flash?

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: Gemma 3 12B or MAI-Image-2.5-Flash?

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: Gemma 3 12B and MAI-Image-2.5-Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.