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

Auto Router (Beta) vs OpenAI o1-mini benchmark

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

This page compares Auto Router (Beta) (openrouter) and OpenAI o1-mini (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.

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openrouter

Auto Router (Beta)

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

$-1000000/1M out

OpenAI

OpenAI o1-mini

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

Elo 1,445$4.4/1M out

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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-mini (7)

Auto Router (Beta): 3W (30%)Overall: OpenAI o1-miniOpenAI o1-mini: 7W (70%)

← Auto Router (Beta)OpenAI o1-mini →

OpenAI o1-mini (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,445

Coding Elo

—vs1,468

SWE-bench

—vs56.4%

LiveBench

—vs62%

GPQA Diamond

—vs76.8%

Auto Router (Beta): 0WOpenAI o1-mini: 5W

OpenAI o1-mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs85 tok/s

Time to first token

—vs280 ms

Auto Router (Beta): 0WOpenAI o1-mini: 2W

Auto Router (Beta) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$-1,000,000/1Mvs$4.4/1M

Input price

$-1,000,000/1Mvs$1.1/1M

Context window

2Mvs128k

Auto Router (Beta): 3WOpenAI o1-mini: 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 AdvantageOpenAI o1-mini 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Auto Router (Beta)

$1000004.40/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,445

Code Elo

High is better

—

Code EloHigh is better

1,468

LiveBench

High is better

—

LiveBenchHigh is better

62%

SWE-bench

High is better

—

SWE-benchHigh is better

56.4%

GPQA

High is better

—

GPQAHigh is better

76.8%

TTFT

Low is better

—

TTFTLow is better

280 ms

Speed

High is better

—

SpeedHigh is better

85 tok/s

In $

Low is better

$-1,000,000/1M

In $Low is better

$1.1/1M

Out $

Low is better

$-1,000,000/1M

Out $Low is better

$4.4/1M

Context

High is better

+1463%2M

ContextHigh is better

128k

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 / visionOpenAI o1-mini

OpenAI o1-mini 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	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	OpenAI o1-mini	OpenAI o1-mini is the side marked multimodal in the catalog.

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LIVE

openrouter

Auto Router (Beta)

Elo n/a

LiveBench—

SWE-bench—

Speed—

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

OpenAI

OpenAI o1-mini

Elo 1,445

LiveBench62%

SWE-bench56.4%

Speed85 tok/s

Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, Auto Router (Beta) or OpenAI o1-mini?: 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-mini?: 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 $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, Auto Router (Beta) or OpenAI o1-mini?: We do not have TTFT for both models.
Which has the larger context window?: Auto Router (Beta) accepts 2M tokens versus 128k.
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-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Auto Router (Beta) matchups →|All OpenAI o1-mini matchups →

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

Auto Router (Beta) vs OpenAI o1-mini 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-mini (7)

Auto Router (Beta): 3W (30%)Overall: OpenAI o1-miniOpenAI o1-mini: 7W (70%)

← Auto Router (Beta)OpenAI o1-mini →

OpenAI o1-mini (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,445

Coding Elo

—vs1,468

SWE-bench

—vs56.4%

LiveBench

—vs62%

GPQA Diamond

—vs76.8%

Auto Router (Beta): 0WOpenAI o1-mini: 5W

OpenAI o1-mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs85 tok/s

Time to first token

—vs280 ms

Auto Router (Beta): 0WOpenAI o1-mini: 2W

Auto Router (Beta) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$-1,000,000/1Mvs$4.4/1M

Input price

$-1,000,000/1Mvs$1.1/1M

Context window

2Mvs128k

Auto Router (Beta): 3WOpenAI o1-mini: 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 / visionOpenAI o1-mini

OpenAI o1-mini 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	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	OpenAI o1-mini	OpenAI o1-mini is the side marked multimodal in the catalog.

Frequently Asked Questions

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

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-mini?

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 $4.4/1M. Input prices and retry rates still move the real bill.

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

We do not have TTFT for both models.

Which has the larger context window?

Auto Router (Beta) accepts 2M tokens versus 128k.

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-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.