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

MAI-Image-2.5 vs Qwen3.8 27B benchmark

Name: MAI-Image-2.5 vs Qwen3.8 27B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares MAI-Image-2.5 (Microsoft AI) and Qwen3.8 27B (Alibaba) using the latest snapshots we have as of Aug 17, 2026. Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Microsoft AI

MAI-Image-2.5

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

Alibaba

Qwen3.8 27B

Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.

Elo 1,398$3.1999999999999997/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MAI-Image-2.5 (0)vsQwen3.8 27B (10)

MAI-Image-2.5: 0W (0%)Overall: Qwen3.8 27BQwen3.8 27B: 10W (100%)

← MAI-Image-2.5Qwen3.8 27B →

Qwen3.8 27B (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,398

Coding Elo

—vs1,422

SWE-bench

—vs58.8%

LiveBench

—vs60.6%

GPQA Diamond

—vs73.4%

MAI-Image-2.5: 0WQwen3.8 27B: 5W

Qwen3.8 27B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs152 tok/s

Time to first token

—vs140 ms

MAI-Image-2.5: 0WQwen3.8 27B: 2W

Qwen3.8 27B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs$3.2/1M

Input price

—vs$0.45/1M

Context window

—vs262k

MAI-Image-2.5: 0WQwen3.8 27B: 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageMAI-Image-2.5 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

No shared data

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,398

Code Elo

High is better

—

Code EloHigh is better

1,422

LiveBench

High is better

—

LiveBenchHigh is better

60.6%

SWE-bench

High is better

—

SWE-benchHigh is better

58.8%

GPQA

High is better

—

GPQAHigh is better

73.4%

TTFT

Low is better

—

TTFTLow is better

140 ms

Speed

High is better

—

SpeedHigh is better

152 tok/s

In $

Low is better

—

In $Low is better

$0.45/1M

Out $

Low is better

—

Out $Low is better

$3.2/1M

Context

High is better

—

ContextHigh is better

262k

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.

Related Editorial Dispatches & Benchmark Notes

View all news

launchAug 14, 2026

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Alibaba open-weight 27B drop. Local/open-weight lists should see it. It will not win frontier-agents.

Community Sentiment

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CompareLLM Matrix

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LIVE

Microsoft AI

MAI-Image-2.5

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Alibaba

Qwen3.8 27B

Elo 1,398

LiveBench60.6%

SWE-bench58.8%

Speed152 tok/s

Output cost$3.2/1M

Frequently Asked Questions

Which is better overall, MAI-Image-2.5 or Qwen3.8 27B?: 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 Qwen3.8 27B?: 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 Qwen3.8 27B?: 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?: Qwen3.8 27B 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 Qwen3.8 27B 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 Qwen3.8 27B 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 3 Max vs Qwen3.8 27B Qwen QwQ 32B vs Qwen3.8 27B Qwen Image 2.0 Pro vs MAI-Image-2.5 Qwen3 235B vs Qwen3.8 27B

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MAI-Image-2.5 (0)vsQwen3.8 27B (10)

MAI-Image-2.5: 0W (0%)Overall: Qwen3.8 27BQwen3.8 27B: 10W (100%)

← MAI-Image-2.5Qwen3.8 27B →

Qwen3.8 27B (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,398

Coding Elo

—vs1,422

SWE-bench

—vs58.8%

LiveBench

—vs60.6%

GPQA Diamond

—vs73.4%

MAI-Image-2.5: 0WQwen3.8 27B: 5W

Qwen3.8 27B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs152 tok/s

Time to first token

—vs140 ms

MAI-Image-2.5: 0WQwen3.8 27B: 2W

Qwen3.8 27B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs$3.2/1M

Input price

—vs$0.45/1M

Context window

—vs262k

MAI-Image-2.5: 0WQwen3.8 27B: 3W

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 Qwen3.8 27B?

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 Qwen3.8 27B?

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 Qwen3.8 27B?

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?

Qwen3.8 27B 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 Qwen3.8 27B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

No shared data

Full Benchmark Score Matrix

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

MAI-Image-2.5

Qwen3.8 27B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

No shared data

Full Benchmark Score Matrix

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

MAI-Image-2.5

Qwen3.8 27B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons