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

OpenAI o1-mini vs Reve 2.1 benchmark

Name: OpenAI o1-mini vs Reve 2.1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares OpenAI o1-mini (OpenAI) and Reve 2.1 (Reve) 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.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

OpenAI

OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Img Elo 1,445

Reve

Reve 2.1

State-of-the-art cinematic image synthesis foundation model known for photorealistic lighting and aesthetic composition.

Img Elo 1,325$200/1k imgs

Swap or Add Any Model to this Matchup

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.

OpenAI o1-mini (0)vsReve 2.1 (5)

OpenAI o1-mini: 0W (0%)Overall: Reve 2.1Reve 2.1: 5W (100%)

← OpenAI o1-miniReve 2.1 →

Reve 2.1 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

—vs1,325

Prompt adherence

—vs93%

Text rendering

—vs93.5%

OpenAI o1-mini: 0WReve 2.1: 3W

Reve 2.1 (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

—vs4.5s

OpenAI o1-mini: 0WReve 2.1: 1W

Reve 2.1 (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

—vs$200/1k

OpenAI o1-mini: 0WReve 2.1: 1W

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 AdvantageReve 2.1 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

—

Img EloHigh is better

1,325

Gen Time

Low is better

—

Gen TimeLow is better

4.5s

Img $

Low is better

—

Img $Low is better

$200/1k

Prompt %

High is better

—

Prompt %High is better

93%

Text %

High is better

—

Text %High is better

93.5%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 100% with OpenAI o1-mini

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

OpenAI o1-mini$0.00 / mo

Rate: $0/1k

Reve 2.1$5,000.00 / mo

Rate: $200/1k

Estimated Cost Delta

OpenAI o1-mini is estimated to save $5,000.00/month ($60,000/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 / visionReve 2.1

Reve 2.1 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	Reve 2.1	Reve 2.1 is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/o1-mini-vs-reve-2-1/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

OpenAI

OpenAI o1-mini

Elo 1,445

LiveBench62%

SWE-bench56.4%

Speed85 tok/s

Output cost$4.4/1M

Reve

Reve 2.1

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, OpenAI o1-mini or Reve 2.1?: 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, OpenAI o1-mini or Reve 2.1?: 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, OpenAI o1-mini or Reve 2.1?: 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. OpenAI o1-mini and Reve 2.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenAI o1-mini matchups →|All Reve 2.1 matchups →

OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI: o3 Mini (next gpt-mini)GPT-4.5 Orion vs OpenAI o1-mini GPT-5.6 Terra vs OpenAI o1-mini GPT-5 vs OpenAI o1-mini GPT-5.6 Sol vs OpenAI o1-mini

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

OpenAI o1-mini (0)vsReve 2.1 (5)

OpenAI o1-mini: 0W (0%)Overall: Reve 2.1Reve 2.1: 5W (100%)

← OpenAI o1-miniReve 2.1 →

Reve 2.1 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

—vs1,325

Prompt adherence

—vs93%

Text rendering

—vs93.5%

OpenAI o1-mini: 0WReve 2.1: 3W

Reve 2.1 (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

—vs4.5s

OpenAI o1-mini: 0WReve 2.1: 1W

Reve 2.1 (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

—vs$200/1k

OpenAI o1-mini: 0WReve 2.1: 1W

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 / visionReve 2.1

Reve 2.1 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	Reve 2.1	Reve 2.1 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, OpenAI o1-mini or Reve 2.1?

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, OpenAI o1-mini or Reve 2.1?

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, OpenAI o1-mini or Reve 2.1?

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. OpenAI o1-mini and Reve 2.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.