Pairwise benchmark snapshot · Aug 1, 2026noindex (thin pair)

MAI-Image-2.5 vs Qwen QwQ 32B benchmark

Name: MAI-Image-2.5 vs Qwen QwQ 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between MAI-Image-2.5 and Qwen QwQ 32B. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Microsoft AI

MAI-Image-2.5

Microsoft AI proprietary foundation image model for Copilot Studio and enterprise creative workflows.

Img Elo 1,307$48.1/1k imgs

Alibaba

Qwen QwQ 32B

Alibaba specialized open reasoning model competing with frontier closed reasoning models.

QwQ ReasoningImg Elo 1,495

MAI-Image Series Lineage & Sibling Variants

2 models

Currently comparing MAI-Image-2.5 vs Qwen QwQ 32B. Alternative family tiers available.

Active: MAI-Image-2.5

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

Qwen QwQ 32B Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: High (Max QwQ CoT)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay

960 ms

3× delay

Reasoning Depth

~7,200

Internal tokens

Cost / 1k Calls

$9.15

17.9× standard bill

Accuracy Boost

+11.8% accuracy

STEM & SWE-bench

Top Rival Showdowns for MAI-Image-2.5

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 Ideogram 4.0 (Quality)

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.

MAI-Image-2.5 (5)vsQwen QwQ 32B (0)

MAI-Image-2.5: 5W (100%)Overall: MAI-Image-2.5Qwen QwQ 32B: 0W (0%)

← MAI-Image-2.5Qwen QwQ 32B →

🏆MAI-Image-2.5(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

MAI-Image-2.5vsQwen QwQ 32B

Image Elo

1,307vs—

Prompt adherence

92%vs—

Text rendering

93%vs—

MAI-Image-2.5: 3WQwen QwQ 32B: 0W

🏆MAI-Image-2.5(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

MAI-Image-2.5vsQwen QwQ 32B

Generation time

3.8svs—

MAI-Image-2.5: 1WQwen QwQ 32B: 0W

🏆MAI-Image-2.5(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

MAI-Image-2.5vsQwen QwQ 32B

Price per 1k images

$48.1/1kvs—

MAI-Image-2.5: 1WQwen QwQ 32B: 0W

Side-by-Side Benchmark Matrix

Image Elo

MAI-Image-2.51,307

seed-bootstrap · Aug 1, 2026

Qwen QwQ 32B—

Generation time

MAI-Image-2.53.8s

seed-bootstrap · Aug 1, 2026

Qwen QwQ 32B—

Price per 1k images

MAI-Image-2.5$48.1/1k

seed-bootstrap · Aug 1, 2026

Qwen QwQ 32B—

Prompt adherence

MAI-Image-2.592%

seed-bootstrap · Aug 1, 2026

Qwen QwQ 32B—

Text rendering

MAI-Image-2.593%

seed-bootstrap · Aug 1, 2026

Qwen QwQ 32B—

Benchmark	MAI-Image-2.5	Qwen QwQ 32B	Advantage Delta
Image Elo	1,307 seed-bootstrap · Aug 1, 2026	—	—
Generation time	3.8s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$48.1/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	92% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	93% 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 Qwen QwQ 32B

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

MAI-Image-2.5$1,202.50 / mo

Rate: $48.1/1k

Qwen QwQ 32B$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Qwen QwQ 32B is estimated to save $1,202.50/month ($14,430/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

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

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/mai-image-2-5-vs-qwq-32b/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Microsoft AI

MAI-Image-2.5

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$48.1/1k

Output / 1M Tokens$48.1/1k

Alibaba

Qwen QwQ 32B

Elo 1,495

SWE-bench67.5%

Speed (tok/s)68 tok/s

Input / 1M Tokens$0.3/1M

Output / 1M Tokens$1.2/1M

Frequently Asked Questions

Which is better overall, MAI-Image-2.5 or Qwen QwQ 32B?: 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, MAI-Image-2.5 or Qwen QwQ 32B?: 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, MAI-Image-2.5 or Qwen QwQ 32B?: 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?: Qwen QwQ 32B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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. MAI-Image-2.5 and Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All MAI-Image-2.5 matchups →|All Qwen QwQ 32B matchups →

MAI-Image-2.5 vs HiDream-O1-Image-1.5 (previous other)MAI-Image-2.5 vs MAI-Image-2.5-Flash (next other)Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen 3 Max vs Qwen QwQ 32B Qwen Image 2.0 Pro vs MAI-Image-2.5 Qwen 2.5 Plus vs Qwen QwQ 32B

Benchmark

MAI-Image-2.5

Qwen QwQ 32B

Advantage Delta

Image Elo

1,307

seed-bootstrap · Aug 1, 2026

—

Generation time

3.8s

seed-bootstrap · Aug 1, 2026

—

Price per 1k images

$48.1/1k

seed-bootstrap · Aug 1, 2026

—

Prompt adherence

92%

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 / visionMAI-Image-2.5

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

Frequently Asked Questions

Which is better overall, MAI-Image-2.5 or Qwen QwQ 32B?

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, MAI-Image-2.5 or Qwen QwQ 32B?

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, MAI-Image-2.5 or Qwen QwQ 32B?

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?

Qwen QwQ 32B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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. MAI-Image-2.5 and Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.