Pairwise benchmark snapshot · Aug 1, 2026

GPT-4.5 Orion vs Yi-Large benchmark

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

This page compares GPT-4.5 Orion (OpenAI) and Yi-Large (01.AI) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, GPT-4.5 Orion is ahead by 110 points (1,540 vs 1,430; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-4.5 Orion resolves 71% versus 53.8% (seed-bootstrap (Aug 1, 2026)). Yi-Large streams faster (90 tok/s) while Yi-Large is the cheaper output token ($0.3/1M). GPT-4.5 Orion has the larger context window (128k 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

01.AI

Yi-Large

01.AI full-scale dense model for complex instruction following.

Elo 1,430$0.3/1M 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 (6)vsYi-Large (4)

GPT-4.5 Orion: 6W (60%)Overall: GPT-4.5 OrionYi-Large: 4W (40%)

← GPT-4.5 OrionYi-Large →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,430

Coding Elo

1,520vs1,410

SWE-bench

71%vs53.8%

LiveBench

68.5%vs60.5%

GPQA Diamond

84%vs72.4%

GPT-4.5 Orion: 5WYi-Large: 0W

Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs90 tok/s

Time to first token

350 msvs220 ms

GPT-4.5 Orion: 0WYi-Large: 2W

Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$0.3/1M

Input price

$75/1Mvs$0.3/1M

Context window

128kvs33k

GPT-4.5 Orion: 1WYi-Large: 2W

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

110 pts advantage

Throughput Speed

Yi-Large

30 tok/s faster

Price Efficiency

Yi-Large

$149.70/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+8%1,540

EloHigh is better

1,430

Code Elo

High is better

+8%1,520

Code EloHigh is better

1,410

LiveBench

High is better

+13%68.5%

LiveBenchHigh is better

60.5%

SWE-bench

High is better

+32%71%

SWE-benchHigh is better

53.8%

GPQA

High is better

+16%84%

GPQAHigh is better

72.4%

TTFT

Low is better

350 ms

TTFTLow is better

220 ms+59%

Speed

High is better

60 tok/s

SpeedHigh is better

90 tok/s+50%

In $

Low is better

$75/1M

In $Low is better

$0.3/1M+24900%

Out $

Low is better

$150/1M

Out $Low is better

$0.3/1M+49900%

Context

High is better

+291%128k

ContextHigh is better

33k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 100% with Yi-Large

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

Yi-Large$15.00 / mo

In: $10.50Out: $4.50

Estimated Cost Delta

Yi-Large is estimated to save $4,860.00/month ($58,320/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
Yi-Large:Pick Yi-Large when you are optimizing output cost.
3
Yi-Large:Pick Yi-Large 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 chatYi-Large

Lower output list price ($0.3/1M).

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGGPT-4.5 Orion

Larger window (128k).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Yi-Large	Lower TTFT (220 ms).
Long-document RAG	GPT-4.5 Orion	Larger window (128k).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

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LIVE

OpenAI

GPT-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

01.AI

Yi-Large

Elo 1,430

LiveBench60.5%

SWE-bench53.8%

Speed90 tok/s

Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Yi-Large?: 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 Yi-Large?: GPT-4.5 Orion leads SWE-bench at 71% vs 53.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Yi-Large output tokens are $0.3/1M versus $150/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4.5 Orion or Yi-Large?: Yi-Large has the lower time-to-first-token (220 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GPT-4.5 Orion accepts 128k tokens versus 33k.
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 Yi-Large 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 Yi-Large matchups →

GPT-4.5 Orion vs OpenAI: o1 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5 (next gpt-flagship)Yi-Large vs Yi-Lightning (next other)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-4.5 Orion vs Yi-Large benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4.5 Orion (6)vsYi-Large (4)

GPT-4.5 Orion: 6W (60%)Overall: GPT-4.5 OrionYi-Large: 4W (40%)

← GPT-4.5 OrionYi-Large →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,430

Coding Elo

1,520vs1,410

SWE-bench

71%vs53.8%

LiveBench

68.5%vs60.5%

GPQA Diamond

84%vs72.4%

GPT-4.5 Orion: 5WYi-Large: 0W

Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs90 tok/s

Time to first token

350 msvs220 ms

GPT-4.5 Orion: 0WYi-Large: 2W

Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$0.3/1M

Input price

$75/1Mvs$0.3/1M

Context window

128kvs33k

GPT-4.5 Orion: 1WYi-Large: 2W

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

High-volume chatYi-Large

Lower output list price ($0.3/1M).

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGGPT-4.5 Orion

Larger window (128k).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Yi-Large	Lower TTFT (220 ms).
Long-document RAG	GPT-4.5 Orion	Larger window (128k).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Yi-Large?

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 Yi-Large?

GPT-4.5 Orion leads SWE-bench at 71% vs 53.8%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Yi-Large output tokens are $0.3/1M versus $150/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4.5 Orion or Yi-Large?

Yi-Large has the lower time-to-first-token (220 ms vs 350 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GPT-4.5 Orion accepts 128k tokens versus 33k.

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