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

Llama 3.1 70B vs Midjourney v6.1 benchmark

Name: Llama 3.1 70B vs Midjourney v6.1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Llama 3.1 70B (Meta) and Midjourney v6.1 (Midjourney) 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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Instant pairwise benchmark recalculation across 400+ LLMs

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.

Llama 3.1 70B (9)vsMidjourney v6.1 (0)

Llama 3.1 70B: 9W (100%)Overall: Llama 3.1 70BMidjourney v6.1: 0W (0%)

← Llama 3.1 70BMidjourney v6.1 →

Llama 3.1 70B (4/5)

Intelligence & Reasoning

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

Preference Elo

1,240vs—

Coding Elo

—vs—

SWE-bench

40.2%vs—

LiveBench

46.8%vs—

GPQA Diamond

48%vs—

Llama 3.1 70B: 4WMidjourney v6.1: 0W

Llama 3.1 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

125 tok/svs—

Time to first token

170 msvs—

Llama 3.1 70B: 2WMidjourney v6.1: 0W

Llama 3.1 70B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.4/1Mvs—

Input price

$0.4/1Mvs—

Context window

131kvs—

Llama 3.1 70B: 3WMidjourney 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.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageMidjourney v6.1 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

1,240

EloHigh is better

—

LiveBench

High is better

46.8%

LiveBenchHigh is better

—

SWE-bench

High is better

40.2%

SWE-benchHigh is better

—

GPQA

High is better

48%

GPQAHigh is better

—

TTFT

Low is better

170 ms

TTFTLow is better

—

Speed

High is better

125 tok/s

SpeedHigh is better

—

In $

Low is better

$0.4/1M

In $Low is better

—

Out $

Low is better

$0.4/1M

Out $Low is better

—

Context

High is better

131k

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 / 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.

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LIVE

Llama 3.1 70B

Elo 1,240

LiveBench46.8%

SWE-bench40.2%

Speed125 tok/s

Output cost$0.4/1M

Midjourney

Midjourney v6.1

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, Llama 3.1 70B 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, Llama 3.1 70B 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, Llama 3.1 70B 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?: Llama 3.1 70B 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. Llama 3.1 70B 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 Llama 3.1 70B matchups →|All Midjourney v6.1 matchups →

Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)Midjourney v6.1 vs Midjourney v7 (next midjourney)Llama 4 Maverick vs Llama 3.1 70B Llama 4 Scout vs Llama 3.1 70B Claude Opus 4.5 vs Llama 3.1 70B

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 3.1 70B (9)vsMidjourney v6.1 (0)

Llama 3.1 70B: 9W (100%)Overall: Llama 3.1 70BMidjourney v6.1: 0W (0%)

← Llama 3.1 70BMidjourney v6.1 →

Llama 3.1 70B (4/5)

Intelligence & Reasoning

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

Preference Elo

1,240vs—

Coding Elo

—vs—

SWE-bench

40.2%vs—

LiveBench

46.8%vs—

GPQA Diamond

48%vs—

Llama 3.1 70B: 4WMidjourney v6.1: 0W

Llama 3.1 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

125 tok/svs—

Time to first token

170 msvs—

Llama 3.1 70B: 2WMidjourney v6.1: 0W

Llama 3.1 70B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.4/1Mvs—

Input price

$0.4/1Mvs—

Context window

131kvs—

Llama 3.1 70B: 3WMidjourney 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 / 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, Llama 3.1 70B 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, Llama 3.1 70B 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, Llama 3.1 70B 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?

Llama 3.1 70B 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. Llama 3.1 70B and Midjourney v6.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.