Pairwise benchmark snapshot · Aug 16, 2026

GPT-4.5 Orion vs OpenAI: o1 benchmark

Name: GPT-4.5 Orion vs OpenAI: o1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4.5 Orion (OpenAI) and OpenAI: o1 (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-4.5 Orion is ahead by 28 points (1,540 vs 1,512; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-4.5 Orion resolves 71% versus 48.9% (seed-bootstrap (Aug 1, 2026)). GPT-4.5 Orion streams faster (60 tok/s) while OpenAI: o1 is the cheaper output token ($60/1M). OpenAI: o1 has the larger context window (200k 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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OpenAI

GPT-4.5 Orion

OpenAI largest dense non-reasoning model with expansive world knowledge and reduced hallucinations.

Elo 1,540$150/1M out

OpenAI

OpenAI: o1

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

Elo 1,512$60/1M 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.

GPT-4.5 Orion (7)vsOpenAI: o1 (3)

GPT-4.5 Orion: 7W (70%)Overall: GPT-4.5 OrionOpenAI: o1: 3W (30%)

← GPT-4.5 OrionOpenAI: o1 →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,512

Coding Elo

1,520vs1,485

SWE-bench

71%vs48.9%

LiveBench

68.5%vs65.4%

GPQA Diamond

84%vs78%

GPT-4.5 Orion: 5WOpenAI: o1: 0W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs45 tok/s

Time to first token

350 msvs420 ms

GPT-4.5 Orion: 2WOpenAI: o1: 0W

OpenAI: o1 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$60/1M

Input price

$75/1Mvs$15/1M

Context window

128kvs200k

GPT-4.5 Orion: 0WOpenAI: o1: 3W

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-4.5 Orion 4/6

Preference Elo

GPT-4.5 Orion

28 pts advantage

Throughput Speed

GPT-4.5 Orion

15 tok/s faster

Price Efficiency

OpenAI: o1

$90.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+2%1,540

EloHigh is better

1,512

Code Elo

High is better

+2%1,520

Code EloHigh is better

1,485

LiveBench

High is better

+5%68.5%

LiveBenchHigh is better

65.4%

SWE-bench

High is better

+45%71%

SWE-benchHigh is better

48.9%

GPQA

High is better

+8%84%

GPQAHigh is better

78%

TTFT

Low is better

+20%350 ms

TTFTLow is better

420 ms

Speed

High is better

+33%60 tok/s

SpeedHigh is better

45 tok/s

In $

Low is better

$75/1M

In $Low is better

$15/1M+400%

Out $

Low is better

$150/1M

Out $Low is better

$60/1M+150%

Context

High is better

128k

ContextHigh is better

200k+56%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 71% with OpenAI: o1

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

GPT-4.5 Orion$4,875.00 / mo

In: $2625.00Out: $2250.00

OpenAI: o1$1,425.00 / mo

In: $525.00Out: $900.00

Estimated Cost Delta

OpenAI: o1 is estimated to save $3,450.00/month ($41,400/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-4.5 Orion:Pick GPT-4.5 Orion when repo-level coding accuracy is the constraint.
2
OpenAI: o1:Pick OpenAI: o1 when you are optimizing output cost.
3
GPT-4.5 Orion:Pick GPT-4.5 Orion when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

High-volume chatOpenAI: o1

Lower output list price ($60/1M).

Voice / low-latency UIGPT-4.5 Orion

Lower TTFT (350 ms).

Long-document RAGOpenAI: o1

Larger window (200k).

Screenshots / visionGPT-4.5 Orion

Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
High-volume chat	OpenAI: o1	Lower output list price ($60/1M).
Voice / low-latency UI	GPT-4.5 Orion	Lower TTFT (350 ms).
Long-document RAG	OpenAI: o1	Larger window (200k).
Screenshots / vision	GPT-4.5 Orion	Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).

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LIVE

OpenAI

GPT-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

OpenAI

OpenAI: o1

Elo 1,512

LiveBench65.4%

SWE-bench48.9%

Speed45 tok/s

Output cost$60/1M

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or OpenAI: o1?: GPT-4.5 Orion has the higher preference Elo in our latest snapshot (1,540). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4.5 Orion or OpenAI: o1?: GPT-4.5 Orion leads SWE-bench at 71% vs 48.9%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: OpenAI: o1 output tokens are $60/1M versus $150/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4.5 Orion or OpenAI: o1?: GPT-4.5 Orion has the lower time-to-first-token (350 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: OpenAI: o1 accepts 200k 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. GPT-4.5 Orion and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-4.5 Orion matchups →|All OpenAI: o1 matchups →

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

GPT-4.5 Orion vs OpenAI: o1 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4.5 Orion (7)vsOpenAI: o1 (3)

GPT-4.5 Orion: 7W (70%)Overall: GPT-4.5 OrionOpenAI: o1: 3W (30%)

← GPT-4.5 OrionOpenAI: o1 →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,512

Coding Elo

1,520vs1,485

SWE-bench

71%vs48.9%

LiveBench

68.5%vs65.4%

GPQA Diamond

84%vs78%

GPT-4.5 Orion: 5WOpenAI: o1: 0W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs45 tok/s

Time to first token

350 msvs420 ms

GPT-4.5 Orion: 2WOpenAI: o1: 0W

OpenAI: o1 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$60/1M

Input price

$75/1Mvs$15/1M

Context window

128kvs200k

GPT-4.5 Orion: 0WOpenAI: o1: 3W

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

High-volume chatOpenAI: o1

Lower output list price ($60/1M).

Voice / low-latency UIGPT-4.5 Orion

Lower TTFT (350 ms).

Long-document RAGOpenAI: o1

Larger window (200k).

Screenshots / visionGPT-4.5 Orion

Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
High-volume chat	OpenAI: o1	Lower output list price ($60/1M).
Voice / low-latency UI	GPT-4.5 Orion	Lower TTFT (350 ms).
Long-document RAG	OpenAI: o1	Larger window (200k).
Screenshots / vision	GPT-4.5 Orion	Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or OpenAI: o1?

GPT-4.5 Orion has the higher preference Elo in our latest snapshot (1,540). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GPT-4.5 Orion or OpenAI: o1?

GPT-4.5 Orion leads SWE-bench at 71% vs 48.9%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

OpenAI: o1 output tokens are $60/1M versus $150/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4.5 Orion or OpenAI: o1?

GPT-4.5 Orion has the lower time-to-first-token (350 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

OpenAI: o1 accepts 200k 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. GPT-4.5 Orion and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.