Pairwise benchmark snapshot · Aug 1, 2026

Midjourney v6.1 vs Wan2.6 Text to Image benchmark

Name: Midjourney v6.1 vs Wan2.6 Text to Image AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between Midjourney v6.1 and Wan2.6 Text to Image. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Verified Head-to-Head Advantage Breakdown

5 direct benchmark disciplines evaluated across capability, speed, and cost

Midjourney v6.1 (1)Wan2.6 Text to Image (4)

Midjourney v6.1

1 of 5 Wins

✓Image Elo

Wan2.6 Text to Image

4 of 5 Wins

✓Generation time✓Price per 1k images✓Prompt adherence✓Text rendering

Midjourney

Leads 1 of 5 metrics

Midjourney v6.1

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

v6.1Img Elo 1,265$80/1k imgs

Alibaba

Leads 4 of 5 metrics

Wan2.6 Text to Image

Alibaba high-efficiency open video/image unified transformer backbone.

Img Elo 1,215$30/1k imgs

Midjourney Series Lineage & Sibling Variants

2 models

Currently comparing Midjourney v6.1 vs Wan2.6 Text to Image. Alternative family tiers available.

Active: Midjourney v6.1

Midjourney v7$120/1k

Top Rival Showdowns for Midjourney v6.1

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 LeaderMidjourney v6.1 Wins

Midjourney v6.1

Δ 50 Image Elo pts

Generation Speed LeaderWan2.6 Text to Image Wins

Wan2.6 Text to Image

3.1s per render

Value per Dollar LeaderWan2.6 Text to Image Wins

Wan2.6 Text to Image

$30/1k images

Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Midjourney v6.1 (1)vsWan2.6 Text to Image (4)

Midjourney v6.1: 1W (20%)Overall: Wan2.6 Text to ImageWan2.6 Text to Image: 4W (80%)

← Midjourney v6.1Wan2.6 Text to Image →

🏆Wan2.6 Text to Image(2/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

Midjourney v6.1vsWan2.6 Text to Image

Image Elo

1,265vs1,215+50

Prompt adherence

89%vs89.5%+0.5%

Text rendering

84%vs87%+3%

Midjourney v6.1: 1WWan2.6 Text to Image: 2W

🏆Wan2.6 Text to Image(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

Midjourney v6.1vsWan2.6 Text to Image

Generation time

7.5svs3.1s+4.4s

Midjourney v6.1: 0WWan2.6 Text to Image: 1W

🏆Wan2.6 Text to Image(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

Midjourney v6.1vsWan2.6 Text to Image

Price per 1k images

$80/1kvs$30/1k+$50/1k

Midjourney v6.1: 0WWan2.6 Text to Image: 1W

Side-by-Side Benchmark Matrix

Image Elo+50

Midjourney v6.11,265

seed-bootstrap · Aug 1, 2026

Wan2.6 Text to Image1,215

seed-bootstrap · Aug 1, 2026

Generation time+4.4s

Midjourney v6.17.5s

seed-bootstrap · Aug 1, 2026

Wan2.6 Text to Image3.1s

seed-bootstrap · Aug 1, 2026

Price per 1k images+$50/1k

Midjourney v6.1$80/1k

seed-bootstrap · Aug 1, 2026

Wan2.6 Text to Image$30/1k

seed-bootstrap · Aug 1, 2026

Prompt adherence+0.5%

Midjourney v6.189%

seed-bootstrap · Aug 1, 2026

Wan2.6 Text to Image89.5%

seed-bootstrap · Aug 1, 2026

Text rendering+3%

Midjourney v6.184%

seed-bootstrap · Aug 1, 2026

Wan2.6 Text to Image87%

seed-bootstrap · Aug 1, 2026

Benchmark	Midjourney v6.1	Wan2.6 Text to Image	Advantage Delta
Image Elo	1,265 seed-bootstrap · Aug 1, 2026	1,215 seed-bootstrap · Aug 1, 2026	+50
Generation time	7.5s seed-bootstrap · Aug 1, 2026	3.1s seed-bootstrap · Aug 1, 2026	+4.4s
Price per 1k images	$80/1k seed-bootstrap · Aug 1, 2026	$30/1k seed-bootstrap · Aug 1, 2026	+$50/1k
Prompt adherence	89% seed-bootstrap · Aug 1, 2026	89.5% seed-bootstrap · Aug 1, 2026	+0.5%
Text rendering	84% seed-bootstrap · Aug 1, 2026	87% seed-bootstrap · Aug 1, 2026	+3%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 63% with Wan2.6 Text to Image

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

Midjourney v6.1$2,000.00 / mo

Rate: $80/1k

Wan2.6 Text to Image$750.00 / mo

Rate: $30/1k

Estimated Cost Delta

Wan2.6 Text to Image is estimated to save $1,250.00/month ($15,000/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 / 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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Community Discussions (0)

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Midjourney

Midjourney v6.1

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$80/1k

Output / 1M Tokens$80/1k

Alibaba

Wan2.6 Text to Image

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$30/1k

Output / 1M Tokens$30/1k

Frequently Asked Questions

Which is better overall, Midjourney v6.1 or Wan2.6 Text to Image?: 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, Midjourney v6.1 or Wan2.6 Text to Image?: 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, Midjourney v6.1 or Wan2.6 Text to Image?: 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?: Wan2.6 Text to Image 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. Midjourney v6.1 and Wan2.6 Text to Image Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Midjourney v6.1 matchups →|All Wan2.6 Text to Image matchups →

Midjourney v6.1 vs Midjourney v7 (next midjourney)Qwen Image 2.0 Pro vs Wan2.6 Text to Image Midjourney v7 vs Wan2.6 Text to Image GPT Image 2 (High) vs Wan2.6 Text to Image Reve 2.1 vs Wan2.6 Text to Image Nano Banana Pro (Gemini 3 Pro Image) vs Wan2.6 Text to Image

Benchmark

Midjourney v6.1

Wan2.6 Text to Image

Advantage Delta

Image Elo

1,265

seed-bootstrap · Aug 1, 2026

1,215

seed-bootstrap · Aug 1, 2026

+50

Generation time

7.5s

seed-bootstrap · Aug 1, 2026

3.1s

seed-bootstrap · Aug 1, 2026

+4.4s

Price per 1k images

$80/1k

seed-bootstrap · Aug 1, 2026

$30/1k

seed-bootstrap · Aug 1, 2026

+$50/1k

Prompt adherence

89%

seed-bootstrap · Aug 1, 2026

89.5%

seed-bootstrap · Aug 1, 2026

+0.5%

Text rendering

84%

seed-bootstrap · Aug 1, 2026

87%

seed-bootstrap · Aug 1, 2026

+3%

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, Midjourney v6.1 or Wan2.6 Text to Image?

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, Midjourney v6.1 or Wan2.6 Text to Image?

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, Midjourney v6.1 or Wan2.6 Text to Image?

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?

Wan2.6 Text to Image 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. Midjourney v6.1 and Wan2.6 Text to Image Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.