Pairwise benchmark snapshot · Aug 16, 2026

Ernie 4.5 Turbo vs OpenAI: o1 benchmark

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

This page compares Ernie 4.5 Turbo (Baidu) and OpenAI: o1 (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, OpenAI: o1 is ahead by 62 points (1,512 vs 1,450; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Ernie 4.5 Turbo resolves 57% versus 48.9% (seed-bootstrap (Aug 1, 2026)). Ernie 4.5 Turbo streams faster (95 tok/s) while Ernie 4.5 Turbo is the cheaper output token ($1.2/1M). 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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Baidu

Ernie 4.5 Turbo

Baidu current multimodal enterprise foundation model with broad Chinese knowledge.

Elo 1,450$1.2/1M 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.

Ernie 4.5 Turbo (5)vsOpenAI: o1 (5)

Ernie 4.5 Turbo: 5W (50%)Overall: Even matchupOpenAI: o1: 5W (50%)

← Ernie 4.5 TurboOpenAI: o1 →

OpenAI: o1 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,450vs1,512

Coding Elo

1,435vs1,485

SWE-bench

57%vs48.9%

LiveBench

61%vs65.4%

GPQA Diamond

74.5%vs78%

Ernie 4.5 Turbo: 1WOpenAI: o1: 4W

Ernie 4.5 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

95 tok/svs45 tok/s

Time to first token

200 msvs420 ms

Ernie 4.5 Turbo: 2WOpenAI: o1: 0W

Ernie 4.5 Turbo (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.2/1Mvs$60/1M

Input price

$0.3/1Mvs$15/1M

Context window

128kvs200k

Ernie 4.5 Turbo: 2WOpenAI: o1: 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 AdvantageOpenAI: o1 4/6

Preference Elo

OpenAI: o1

62 pts advantage

Throughput Speed

Ernie 4.5 Turbo

50 tok/s faster

Price Efficiency

Ernie 4.5 Turbo

$58.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,450

EloHigh is better

1,512+4%

Code Elo

High is better

1,435

Code EloHigh is better

1,485+3%

LiveBench

High is better

61%

LiveBenchHigh is better

65.4%+7%

SWE-bench

High is better

+17%57%

SWE-benchHigh is better

48.9%

GPQA

High is better

74.5%

GPQAHigh is better

78%+5%

TTFT

Low is better

+110%200 ms

TTFTLow is better

420 ms

Speed

High is better

+111%95 tok/s

SpeedHigh is better

45 tok/s

In $

Low is better

+4900%$0.3/1M

In $Low is better

$15/1M

Out $

Low is better

+4900%$1.2/1M

Out $Low is better

$60/1M

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 98% with Ernie 4.5 Turbo

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Ernie 4.5 Turbo$28.50 / mo

In: $10.50Out: $18.00

OpenAI: o1$1,425.00 / mo

In: $525.00Out: $900.00

Estimated Cost Delta

Ernie 4.5 Turbo is estimated to save $1,396.50/month ($16,758/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Ernie 4.5 Turbo:Pick Ernie 4.5 Turbo when repo-level coding accuracy is the constraint.
2
Ernie 4.5 Turbo:Pick Ernie 4.5 Turbo when time-to-first-token matters more than peak Elo.
3
OpenAI: o1:Pick OpenAI: o1 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsErnie 4.5 Turbo

Higher SWE-bench (57%).

High-volume chatErnie 4.5 Turbo

Lower output list price ($1.2/1M).

Voice / low-latency UIErnie 4.5 Turbo

Lower TTFT (200 ms).

Long-document RAGOpenAI: o1

Larger window (200k).

Screenshots / visionOpenAI: o1

Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Ernie 4.5 Turbo	Higher SWE-bench (57%).
High-volume chat	Ernie 4.5 Turbo	Lower output list price ($1.2/1M).
Voice / low-latency UI	Ernie 4.5 Turbo	Lower TTFT (200 ms).
Long-document RAG	OpenAI: o1	Larger window (200k).
Screenshots / vision	OpenAI: o1	Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

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LIVE

Baidu

Ernie 4.5 Turbo

Elo 1,450

LiveBench61%

SWE-bench57%

Speed95 tok/s

Output cost$1.2/1M

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, Ernie 4.5 Turbo or OpenAI: o1?: OpenAI: o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Ernie 4.5 Turbo or OpenAI: o1?: Ernie 4.5 Turbo leads SWE-bench at 57% vs 48.9%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Ernie 4.5 Turbo output tokens are $1.2/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Ernie 4.5 Turbo or OpenAI: o1?: Ernie 4.5 Turbo has the lower time-to-first-token (200 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. Ernie 4.5 Turbo and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Ernie 4.5 Turbo matchups →|All OpenAI: o1 matchups →

Ernie 4.5 Turbo vs Yi-Lightning (previous other)OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5.6 Terra vs OpenAI: o1 GPT-5 vs OpenAI: o1 GPT-5.6 Sol vs OpenAI: o1

Ernie 4.5 Turbo vs OpenAI: o1 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Ernie 4.5 Turbo (5)vsOpenAI: o1 (5)

Ernie 4.5 Turbo: 5W (50%)Overall: Even matchupOpenAI: o1: 5W (50%)

← Ernie 4.5 TurboOpenAI: o1 →

OpenAI: o1 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,450vs1,512

Coding Elo

1,435vs1,485

SWE-bench

57%vs48.9%

LiveBench

61%vs65.4%

GPQA Diamond

74.5%vs78%

Ernie 4.5 Turbo: 1WOpenAI: o1: 4W

Ernie 4.5 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

95 tok/svs45 tok/s

Time to first token

200 msvs420 ms

Ernie 4.5 Turbo: 2WOpenAI: o1: 0W

Ernie 4.5 Turbo (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.2/1Mvs$60/1M

Input price

$0.3/1Mvs$15/1M

Context window

128kvs200k

Ernie 4.5 Turbo: 2WOpenAI: o1: 1W

Recommended Workload Routing

Repo / coding agentsErnie 4.5 Turbo

Higher SWE-bench (57%).

High-volume chatErnie 4.5 Turbo

Lower output list price ($1.2/1M).

Voice / low-latency UIErnie 4.5 Turbo

Lower TTFT (200 ms).

Long-document RAGOpenAI: o1

Larger window (200k).

Screenshots / visionOpenAI: o1

Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Ernie 4.5 Turbo	Higher SWE-bench (57%).
High-volume chat	Ernie 4.5 Turbo	Lower output list price ($1.2/1M).
Voice / low-latency UI	Ernie 4.5 Turbo	Lower TTFT (200 ms).
Long-document RAG	OpenAI: o1	Larger window (200k).
Screenshots / vision	OpenAI: o1	Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Frequently Asked Questions

Which is better overall, Ernie 4.5 Turbo or OpenAI: o1?

OpenAI: o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Ernie 4.5 Turbo or OpenAI: o1?

Ernie 4.5 Turbo leads SWE-bench at 57% vs 48.9%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Ernie 4.5 Turbo output tokens are $1.2/1M versus $60/1M. Input prices and retry rates still move the real bill.

Which is faster, Ernie 4.5 Turbo or OpenAI: o1?

Ernie 4.5 Turbo has the lower time-to-first-token (200 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. Ernie 4.5 Turbo and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.