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

Doubao Pro 1.5 vs MAI-Image-2.5-Flash benchmark

Name: Doubao Pro 1.5 vs MAI-Image-2.5-Flash AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Pro 1.5 (ByteDance) and MAI-Image-2.5-Flash (Microsoft AI) 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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ByteDance

Doubao Pro 1.5

ByteDance flagship enterprise model with ultra-low token cost and 128k context.

Elo 1,470$0.28/1M out

Microsoft AI

MAI-Image-2.5-Flash

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

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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.

Doubao Pro 1.5 (10)vsMAI-Image-2.5-Flash (0)

Doubao Pro 1.5: 10W (100%)Overall: Doubao Pro 1.5MAI-Image-2.5-Flash: 0W (0%)

← Doubao Pro 1.5MAI-Image-2.5-Flash →

Doubao Pro 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs—

Coding Elo

1,465vs—

SWE-bench

62.1%vs—

LiveBench

64%vs—

GPQA Diamond

77.5%vs—

Doubao Pro 1.5: 5WMAI-Image-2.5-Flash: 0W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs—

Time to first token

190 msvs—

Doubao Pro 1.5: 2WMAI-Image-2.5-Flash: 0W

Doubao Pro 1.5 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs—

Input price

$0.11/1Mvs—

Context window

128kvs—

Doubao Pro 1.5: 3WMAI-Image-2.5-Flash: 0W

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-Flash 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

1,470

EloHigh is better

—

Code Elo

High is better

1,465

Code EloHigh is better

—

LiveBench

High is better

64%

LiveBenchHigh is better

—

SWE-bench

High is better

62.1%

SWE-benchHigh is better

—

GPQA

High is better

77.5%

GPQAHigh is better

—

TTFT

Low is better

190 ms

TTFTLow is better

—

Speed

High is better

105 tok/s

SpeedHigh is better

—

In $

Low is better

$0.11/1M

In $Low is better

—

Out $

Low is better

$0.28/1M

Out $Low is better

—

Context

High is better

128k

ContextHigh is better

—

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

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CompareLLM Matrix

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LIVE

ByteDance

Doubao Pro 1.5

Elo 1,470

LiveBench64%

SWE-bench62.1%

Speed105 tok/s

Output cost$0.28/1M

Microsoft AI

MAI-Image-2.5-Flash

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 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, Doubao Pro 1.5 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, Doubao Pro 1.5 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. Doubao Pro 1.5 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 Doubao Pro 1.5 matchups →|All MAI-Image-2.5-Flash matchups →

Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)MAI-Image-2.5-Flash vs MAI-Image-2.5 (previous other)Seedream 5.0 Pro vs MAI-Image-2.5-Flash Seed 2.1 Turbo vs Doubao Pro 1.5 Yi-Lightning vs Doubao Pro 1.5 Mistral Large 3 vs Doubao Pro 1.5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Pro 1.5 (10)vsMAI-Image-2.5-Flash (0)

Doubao Pro 1.5: 10W (100%)Overall: Doubao Pro 1.5MAI-Image-2.5-Flash: 0W (0%)

← Doubao Pro 1.5MAI-Image-2.5-Flash →

Doubao Pro 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs—

Coding Elo

1,465vs—

SWE-bench

62.1%vs—

LiveBench

64%vs—

GPQA Diamond

77.5%vs—

Doubao Pro 1.5: 5WMAI-Image-2.5-Flash: 0W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs—

Time to first token

190 msvs—

Doubao Pro 1.5: 2WMAI-Image-2.5-Flash: 0W

Doubao Pro 1.5 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs—

Input price

$0.11/1Mvs—

Context window

128kvs—

Doubao Pro 1.5: 3WMAI-Image-2.5-Flash: 0W

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, Doubao Pro 1.5 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, Doubao Pro 1.5 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, Doubao Pro 1.5 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. Doubao Pro 1.5 and MAI-Image-2.5-Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.