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

Auto Router (Beta) vs OpenAI: o1-pro benchmark

Name: Auto Router (Beta) vs OpenAI: o1-pro AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Auto Router (Beta) (openrouter) and OpenAI: o1-pro (OpenAI) using the latest snapshots we have as of Aug 17, 2026. Auto Router (Beta) wins on output price at $-1,000,000/1M. Auto Router (Beta) has the larger context window (2M tokens). 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

openrouter

Auto Router (Beta)

Auto-discovered from OpenRouter (openrouter/auto-beta). Preview until a second source matches.

$-1000000/1M out

OpenAI

OpenAI: o1-pro

Auto-discovered from OpenRouter (openai/o1-pro). Preview until a second source matches.

$600/1M out

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.

Auto Router (Beta) (3)vsOpenAI: o1-pro (0)

Auto Router (Beta): 3W (100%)Overall: Auto Router (Beta)OpenAI: o1-pro: 0W (0%)

← Auto Router (Beta)OpenAI: o1-pro →

Tied (0/5)

Intelligence & Reasoning

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

Preference Elo

—vs—

Coding Elo

—vs—

SWE-bench

—vs—

LiveBench

—vs—

GPQA Diamond

—vs—

Auto Router (Beta): 0WOpenAI: o1-pro: 0W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

Auto Router (Beta): 0WOpenAI: o1-pro: 0W

Auto Router (Beta) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$-1,000,000/1Mvs$600/1M

Input price

$-1,000,000/1Mvs$150/1M

Context window

2Mvs200k

Auto Router (Beta): 3WOpenAI: o1-pro: 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 AdvantageAuto Router (Beta) 2/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Auto Router (Beta)

$1000600.00/1M cheaper

Full Benchmark Score Matrix

—

In $

Low is better

$-1,000,000/1M

In $Low is better

$150/1M

Out $

Low is better

$-1,000,000/1M

Out $Low is better

$600/1M

Context

High is better

+900%2M

ContextHigh is better

200k

Key Selection Recommendations

1
Auto Router (Beta):Pick Auto Router (Beta) when you are optimizing output cost.
2
Auto Router (Beta):Pick Auto Router (Beta) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAuto Router (Beta)

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAuto Router (Beta)

Larger window (2M).

Screenshots / visioninsufficient data

Neither side is marked as vision-capable.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Auto Router (Beta)	Lower output list price ($-1,000,000/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Auto Router (Beta)	Larger window (2M).
Screenshots / vision	insufficient data	Neither side is marked as vision-capable.

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/auto-beta-vs-o1-pro/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

openrouter

Auto Router (Beta)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$-1,000,000/1M

OpenAI

OpenAI: o1-pro

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$600/1M

Frequently Asked Questions

Which is better overall, Auto Router (Beta) or OpenAI: o1-pro?: 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, Auto Router (Beta) or OpenAI: o1-pro?: 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?: Auto Router (Beta) output tokens are $-1,000,000/1M versus $600/1M. Input prices and retry rates still move the real bill.
Which is faster, Auto Router (Beta) or OpenAI: o1-pro?: We do not have TTFT for both models.
Which has the larger context window?: Auto Router (Beta) accepts 2M tokens versus 200k.
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. Auto Router (Beta) and OpenAI: o1-pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Auto Router (Beta) vs OpenAI: o1-pro benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Auto Router (Beta) (3)vsOpenAI: o1-pro (0)

Auto Router (Beta): 3W (100%)Overall: Auto Router (Beta)OpenAI: o1-pro: 0W (0%)

← Auto Router (Beta)OpenAI: o1-pro →

Tied (0/5)

Intelligence & Reasoning

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

Preference Elo

—vs—

Coding Elo

—vs—

SWE-bench

—vs—

LiveBench

—vs—

GPQA Diamond

—vs—

Auto Router (Beta): 0WOpenAI: o1-pro: 0W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

Auto Router (Beta): 0WOpenAI: o1-pro: 0W

Auto Router (Beta) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$-1,000,000/1Mvs$600/1M

Input price

$-1,000,000/1Mvs$150/1M

Context window

2Mvs200k

Auto Router (Beta): 3WOpenAI: o1-pro: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAuto Router (Beta)

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAuto Router (Beta)

Larger window (2M).

Screenshots / visioninsufficient data

Neither side is marked as vision-capable.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Auto Router (Beta)	Lower output list price ($-1,000,000/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Auto Router (Beta)	Larger window (2M).
Screenshots / vision	insufficient data	Neither side is marked as vision-capable.

Frequently Asked Questions

Which is better overall, Auto Router (Beta) or OpenAI: o1-pro?

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, Auto Router (Beta) or OpenAI: o1-pro?

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?

Auto Router (Beta) output tokens are $-1,000,000/1M versus $600/1M. Input prices and retry rates still move the real bill.

Which is faster, Auto Router (Beta) or OpenAI: o1-pro?

We do not have TTFT for both models.

Which has the larger context window?

Auto Router (Beta) accepts 2M tokens versus 200k.

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. Auto Router (Beta) and OpenAI: o1-pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.