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

GPT Image 1.5 vs Llama 3.1 405B benchmark

Name: GPT Image 1.5 vs Llama 3.1 405B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT Image 1.5 (OpenAI) and Llama 3.1 405B (Meta) 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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OpenAI

GPT Image 1.5

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

Img Elo 1,313$133/1k imgs

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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.

GPT Image 1.5 (5)vsLlama 3.1 405B (0)

GPT Image 1.5: 5W (100%)Overall: GPT Image 1.5Llama 3.1 405B: 0W (0%)

← GPT Image 1.5Llama 3.1 405B →

GPT Image 1.5 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,313vs—

Prompt adherence

91%vs—

Text rendering

90.5%vs—

GPT Image 1.5: 3WLlama 3.1 405B: 0W

GPT Image 1.5 (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

3.5svs—

GPT Image 1.5: 1WLlama 3.1 405B: 0W

GPT Image 1.5 (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$133/1kvs—

GPT Image 1.5: 1WLlama 3.1 405B: 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 AdvantageGPT Image 1.5 5/6

Image Preference Elo

No shared data

Generation Latency

No shared data

Image Price Efficiency

No shared data

Full Benchmark Score Matrix

—

Img Elo

High is better

1,313

Img EloHigh is better

—

Gen Time

Low is better

3.5s

Gen TimeLow is better

—

Img $

Low is better

$133/1k

Img $Low is better

—

Prompt %

High is better

91%

Prompt %High is better

—

Text %

High is better

90.5%

Text %High is better

—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 100% with Llama 3.1 405B

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

GPT Image 1.5$3,325.00 / mo

Rate: $133/1k

Llama 3.1 405B$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Llama 3.1 405B is estimated to save $3,325.00/month ($39,900/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 / visionGPT Image 1.5

GPT Image 1.5 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	GPT Image 1.5	GPT Image 1.5 is the side marked multimodal in the catalog.

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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—

Llama 3.1 405B

Elo 1,370

LiveBench61.2%

SWE-bench58.4%

Speed42 tok/s

Output cost$3.5/1M

Frequently Asked Questions

Which is better overall, GPT Image 1.5 or Llama 3.1 405B?: 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 Llama 3.1 405B?: 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 Llama 3.1 405B?: 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 405B 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. GPT Image 1.5 and Llama 3.1 405B 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 Llama 3.1 405B matchups →

GPT Image 1.5 vs DALL-E 3 (previous gpt-image)GPT Image 1.5 vs GPT Image 2 (High) (next gpt-image)Llama 3.1 405B vs Llama 3.1 70B (next llama)GPT-5 vs Llama 3.1 405B Llama 4 Maverick vs Llama 3.1 405B GPT-4.5 Orion vs Llama 3.1 405B

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT Image 1.5 (5)vsLlama 3.1 405B (0)

GPT Image 1.5: 5W (100%)Overall: GPT Image 1.5Llama 3.1 405B: 0W (0%)

← GPT Image 1.5Llama 3.1 405B →

GPT Image 1.5 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,313vs—

Prompt adherence

91%vs—

Text rendering

90.5%vs—

GPT Image 1.5: 3WLlama 3.1 405B: 0W

GPT Image 1.5 (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

3.5svs—

GPT Image 1.5: 1WLlama 3.1 405B: 0W

GPT Image 1.5 (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$133/1kvs—

GPT Image 1.5: 1WLlama 3.1 405B: 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 / visionGPT Image 1.5

GPT Image 1.5 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	GPT Image 1.5	GPT Image 1.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT Image 1.5 or Llama 3.1 405B?

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 Llama 3.1 405B?

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 Llama 3.1 405B?

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 405B 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. GPT Image 1.5 and Llama 3.1 405B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.