Pairwise benchmark snapshot · Aug 1, 2026

GPT Image 1.5 vs Midjourney v6.1 benchmark

Name: GPT Image 1.5 vs Midjourney v6.1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT Image 1.5 (OpenAI) and Midjourney v6.1 (Midjourney) using the latest snapshots we have as of Aug 1, 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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OpenAI

GPT Image 1.5

Previous OpenAI image generation flagship. High fidelity with proven enterprise reliability.

Midjourney

Midjourney v6.1

Previous standard in aesthetic digital art generation, retained as a historical compare baseline.

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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.

GPT Image 1.5 (0)vsMidjourney v6.1 (0)

GPT Image 1.5: 0W (50%)Overall: Even matchupMidjourney v6.1: 0W (50%)

← GPT Image 1.5Midjourney v6.1 →

Tied (0/5)

Intelligence & Reasoning

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

Preference Elo

—vs—

Coding Elo

—vs—

SWE-bench

—vs—

LiveBench

—vs—

GPQA Diamond

—vs—

GPT Image 1.5: 0WMidjourney v6.1: 0W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

GPT Image 1.5: 0WMidjourney v6.1: 0W

Tied (0/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs—

Input price

—vs—

Context window

—vs—

GPT Image 1.5: 0WMidjourney v6.1: 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.

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Percentile 0–100

Dimensional AdvantageGPT Image 1.5 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

No shared data

Full Benchmark Score Matrix

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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

OpenAI

GPT Image 1.5

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Midjourney

Midjourney v6.1

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, GPT Image 1.5 or Midjourney v6.1?: 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, GPT Image 1.5 or Midjourney v6.1?: 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, GPT Image 1.5 or Midjourney v6.1?: 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. GPT Image 1.5 and Midjourney v6.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT Image 1.5 matchups →|All Midjourney v6.1 matchups →

GPT Image 1.5 vs DALL-E 3 (previous gpt-image)GPT Image 1.5 vs GPT Image 2 (High) (next gpt-image)Midjourney v6.1 vs Midjourney v7 (next midjourney)GPT Image 2 (High) vs Midjourney v6.1 GPT Image 2 (Low / Fast) vs Midjourney v6.1 DALL-E 3 vs Midjourney v6.1

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT Image 1.5 (0)vsMidjourney v6.1 (0)

GPT Image 1.5: 0W (50%)Overall: Even matchupMidjourney v6.1: 0W (50%)

← GPT Image 1.5Midjourney v6.1 →

Tied (0/5)

Intelligence & Reasoning

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

Preference Elo

—vs—

Coding Elo

—vs—

SWE-bench

—vs—

LiveBench

—vs—

GPQA Diamond

—vs—

GPT Image 1.5: 0WMidjourney v6.1: 0W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

GPT Image 1.5: 0WMidjourney v6.1: 0W

Tied (0/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs—

Input price

—vs—

Context window

—vs—

GPT Image 1.5: 0WMidjourney v6.1: 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, GPT Image 1.5 or Midjourney v6.1?

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, GPT Image 1.5 or Midjourney v6.1?

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, GPT Image 1.5 or Midjourney v6.1?

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. GPT Image 1.5 and Midjourney v6.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.