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

Midjourney v6.1 vs Qwen: Qwen3 VL 30B A3B Instruct benchmark

Name: Midjourney v6.1 vs Qwen: Qwen3 VL 30B A3B Instruct 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 Qwen: Qwen3 VL 30B A3B Instruct. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Midjourney v6.1 holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

Midjourney v6.1Top code solve rate

ReasoningGPQA / Live

Midjourney v6.1Top logical accuracy

Best Value$/1M Tok

Qwen: Qwen3 VL 30B A3B InstructLowest API billing cost

Speed / TokTok/Sec

Midjourney v6.1Fastest stream rate

Midjourney

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

Qwen: Qwen3 VL 30B A3B Instruct

Auto-discovered from OpenRouter (qwen/qwen3-vl-30b-a3b-instruct). Preview until a second source matches.

Midjourney Series Lineage & Sibling Variants

2 models

Currently comparing Midjourney v6.1 vs Qwen: Qwen3 VL 30B A3B Instruct. 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 Leader

No shared data

Single model data

Generation Speed Leader

No shared data

No latency data

Value per Dollar Leader

No shared data

Unpriced

Overall Matchup Breakdown

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

Midjourney v6.1 (5)vsQwen: Qwen3 VL 30B A3B Instruct (0)

Midjourney v6.1: 5W (100%)Qwen: Qwen3 VL 30B A3B Instruct: 0W (0%)

← Midjourney v6.1Qwen: Qwen3 VL 30B A3B Instruct →

🏆Midjourney v6.1 Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

Midjourney v6.1vsQwen: Qwen3 VL 30B A3B Instruct

Image Elo

1,265vs—

Prompt adherence

89%vs—

Text rendering

84%vs—

Midjourney v6.1: 3WQwen: Qwen3 VL 30B A3B Instruct: 0W

🏆Midjourney v6.1 Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

Midjourney v6.1vsQwen: Qwen3 VL 30B A3B Instruct

Generation time

7.5svs—

Midjourney v6.1: 1WQwen: Qwen3 VL 30B A3B Instruct: 0W

🏆Midjourney v6.1 Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

Midjourney v6.1vsQwen: Qwen3 VL 30B A3B Instruct

Price per 1k images

$80/1kvs—

Midjourney v6.1: 1WQwen: Qwen3 VL 30B A3B Instruct: 0W

Side-by-Side Benchmark Matrix

Midjourney v6.1Qwen: Qwen3 VL 30B A3B Instruct

Image Elo

Midjourney v6.11,265

Qwen: Qwen3 VL 30B A3B Instruct—

Generation time

Midjourney v6.17.5s

Qwen: Qwen3 VL 30B A3B Instruct—

Price per 1k images

Midjourney v6.1$80/1k

Qwen: Qwen3 VL 30B A3B Instruct—

Prompt adherence

Midjourney v6.189%

Qwen: Qwen3 VL 30B A3B Instruct—

Text rendering

Midjourney v6.184%

Qwen: Qwen3 VL 30B A3B Instruct—

Benchmark	Midjourney v6.1	Qwen: Qwen3 VL 30B A3B Instruct	Advantage Delta
Image Elo	1,265 seed-bootstrap · Aug 1, 2026	—	—
Generation time	7.5s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$80/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	89% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	84% seed-bootstrap · Aug 1, 2026	—	—

Workload Cost & Savings Calculator

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

Save 100% with Qwen: Qwen3 VL 30B A3B Instruct

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

Midjourney v6.1$2,000.00 / mo

Rate: $80/1k

Qwen: Qwen3 VL 30B A3B Instruct$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Qwen: Qwen3 VL 30B A3B Instruct is estimated to save $2,000.00/month ($24,000/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 / visionMidjourney v6.1

Midjourney v6.1 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	Midjourney v6.1	Midjourney v6.1 is the side marked multimodal in the catalog.

Cast Your Matchup Vote

0 total votes

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

Qwen: Qwen3 VL 30B A3B Instruct

Elo n/a

SWE-bench—

Speed (tok/s)262k

Input / 1M Tokens$0.13/1M

Output / 1M Tokens$0.52/1M

Frequently Asked Questions

Which is better overall, Midjourney v6.1 or Qwen: Qwen3 VL 30B A3B Instruct?: 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 Qwen: Qwen3 VL 30B A3B Instruct?: 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 Qwen: Qwen3 VL 30B A3B Instruct?: 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. Midjourney v6.1 and Qwen: Qwen3 VL 30B A3B Instruct 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 Qwen: Qwen3 VL 30B A3B Instruct matchups →

Midjourney v6.1 vs Midjourney v7 (next midjourney)

Side-by-Side Benchmark Matrix

Midjourney v6.1Qwen: Qwen3 VL 30B A3B Instruct

Image Elo

Midjourney v6.11,265

Qwen: Qwen3 VL 30B A3B Instruct—

Generation time

Midjourney v6.17.5s

Qwen: Qwen3 VL 30B A3B Instruct—

Price per 1k images

Midjourney v6.1$80/1k

Qwen: Qwen3 VL 30B A3B Instruct—

Prompt adherence

Midjourney v6.189%

Qwen: Qwen3 VL 30B A3B Instruct—

Text rendering

Midjourney v6.184%

Qwen: Qwen3 VL 30B A3B Instruct—

Benchmark	Midjourney v6.1	Qwen: Qwen3 VL 30B A3B Instruct	Advantage Delta
Image Elo	1,265 seed-bootstrap · Aug 1, 2026	—	—
Generation time	7.5s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$80/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	89% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	84% 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 / visionMidjourney v6.1

Midjourney v6.1 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	Midjourney v6.1	Midjourney v6.1 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Midjourney v6.1 or Qwen: Qwen3 VL 30B A3B Instruct?

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 Qwen: Qwen3 VL 30B A3B Instruct?

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 Qwen: Qwen3 VL 30B A3B Instruct?

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. Midjourney v6.1 and Qwen: Qwen3 VL 30B A3B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.