Pairwise benchmark snapshot · Aug 1, 2026

Claude 3.5 Sonnet vs Ernie 4.5 Turbo benchmark

Name: Claude 3.5 Sonnet vs Ernie 4.5 Turbo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.5 Sonnet (Anthropic) and Ernie 4.5 Turbo (Baidu) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, Ernie 4.5 Turbo is ahead by 170 points (1,450 vs 1,280; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Ernie 4.5 Turbo resolves 57% versus 49% (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). Claude 3.5 Sonnet 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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Anthropic

Claude 3.5 Sonnet

2024 workhorse. Still a high-intent compare against GPT-4o.

Elo 1,280$15/1M out

Baidu

Ernie 4.5 Turbo

Baidu current multimodal enterprise foundation model with broad Chinese knowledge.

Elo 1,450$1.2/1M 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.

Claude 3.5 Sonnet (1)vsErnie 4.5 Turbo (9)

Claude 3.5 Sonnet: 1W (10%)Overall: Ernie 4.5 TurboErnie 4.5 Turbo: 9W (90%)

← Claude 3.5 SonnetErnie 4.5 Turbo →

Ernie 4.5 Turbo (5/5)

Intelligence & Reasoning

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

Preference Elo

1,280vs1,450

Coding Elo

—vs1,435

SWE-bench

49%vs57%

LiveBench

52.1%vs61%

GPQA Diamond

65%vs74.5%

Claude 3.5 Sonnet: 0WErnie 4.5 Turbo: 5W

Ernie 4.5 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

80 tok/svs95 tok/s

Time to first token

280 msvs200 ms

Claude 3.5 Sonnet: 0WErnie 4.5 Turbo: 2W

Ernie 4.5 Turbo (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$1.2/1M

Input price

$3/1Mvs$0.3/1M

Context window

200kvs128k

Claude 3.5 Sonnet: 1WErnie 4.5 Turbo: 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 AdvantageErnie 4.5 Turbo 5/6

Preference Elo

Ernie 4.5 Turbo

170 pts advantage

Throughput Speed

Ernie 4.5 Turbo

15 tok/s faster

Price Efficiency

Ernie 4.5 Turbo

$13.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,280

EloHigh is better

1,450+13%

Code Elo

High is better

—

Code EloHigh is better

1,435

LiveBench

High is better

52.1%

LiveBenchHigh is better

61%+17%

SWE-bench

High is better

49%

SWE-benchHigh is better

57%+16%

GPQA

High is better

65%

GPQAHigh is better

74.5%+15%

TTFT

Low is better

280 ms

TTFTLow is better

200 ms+40%

Speed

High is better

80 tok/s

SpeedHigh is better

95 tok/s+19%

In $

Low is better

$3/1M

In $Low is better

$0.3/1M+900%

Out $

Low is better

$15/1M

Out $Low is better

$1.2/1M+1150%

Context

High is better

+56%200k

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 91% 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)

Claude 3.5 Sonnet$330.00 / mo

In: $105.00Out: $225.00

Ernie 4.5 Turbo$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

Ernie 4.5 Turbo is estimated to save $301.50/month ($3,618/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
Ernie 4.5 Turbo:Pick Ernie 4.5 Turbo 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 RAGClaude 3.5 Sonnet

Larger window (200k).

Screenshots / visionErnie 4.5 Turbo

Both accept images. Defaulting to the higher-Elo side (Ernie 4.5 Turbo).

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	Claude 3.5 Sonnet	Larger window (200k).
Screenshots / vision	Ernie 4.5 Turbo	Both accept images. Defaulting to the higher-Elo side (Ernie 4.5 Turbo).

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LIVE

Anthropic

Claude 3.5 Sonnet

Elo 1,280

LiveBench52.1%

SWE-bench49%

Speed80 tok/s

Output cost$15/1M

Baidu

Ernie 4.5 Turbo

Elo 1,450

LiveBench61%

SWE-bench57%

Speed95 tok/s

Output cost$1.2/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or Ernie 4.5 Turbo?: Ernie 4.5 Turbo has the higher preference Elo in our latest snapshot (1,450). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.5 Sonnet or Ernie 4.5 Turbo?: Ernie 4.5 Turbo leads SWE-bench at 57% vs 49%. 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 $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Sonnet or Ernie 4.5 Turbo?: Ernie 4.5 Turbo has the lower time-to-first-token (200 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude 3.5 Sonnet 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. Claude 3.5 Sonnet and Ernie 4.5 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude 3.5 Sonnet matchups →|All Ernie 4.5 Turbo matchups →

Claude 3.5 Sonnet vs Claude 3.7 Sonnet (next sonnet)Ernie 4.5 Turbo vs Yi-Lightning (previous other)Claude Opus 4.5 vs Ernie 4.5 Turbo Claude Opus 4.6 vs Ernie 4.5 Turbo Claude Sonnet 4.5 vs Ernie 4.5 Turbo Claude Opus 5 vs Ernie 4.5 Turbo

Claude 3.5 Sonnet vs Ernie 4.5 Turbo benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.5 Sonnet (1)vsErnie 4.5 Turbo (9)

Claude 3.5 Sonnet: 1W (10%)Overall: Ernie 4.5 TurboErnie 4.5 Turbo: 9W (90%)

← Claude 3.5 SonnetErnie 4.5 Turbo →

Ernie 4.5 Turbo (5/5)

Intelligence & Reasoning

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

Preference Elo

1,280vs1,450

Coding Elo

—vs1,435

SWE-bench

49%vs57%

LiveBench

52.1%vs61%

GPQA Diamond

65%vs74.5%

Claude 3.5 Sonnet: 0WErnie 4.5 Turbo: 5W

Ernie 4.5 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

80 tok/svs95 tok/s

Time to first token

280 msvs200 ms

Claude 3.5 Sonnet: 0WErnie 4.5 Turbo: 2W

Ernie 4.5 Turbo (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$1.2/1M

Input price

$3/1Mvs$0.3/1M

Context window

200kvs128k

Claude 3.5 Sonnet: 1WErnie 4.5 Turbo: 2W

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 RAGClaude 3.5 Sonnet

Larger window (200k).

Screenshots / visionErnie 4.5 Turbo

Both accept images. Defaulting to the higher-Elo side (Ernie 4.5 Turbo).

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	Claude 3.5 Sonnet	Larger window (200k).
Screenshots / vision	Ernie 4.5 Turbo	Both accept images. Defaulting to the higher-Elo side (Ernie 4.5 Turbo).

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or Ernie 4.5 Turbo?

Ernie 4.5 Turbo has the higher preference Elo in our latest snapshot (1,450). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude 3.5 Sonnet or Ernie 4.5 Turbo?

Ernie 4.5 Turbo leads SWE-bench at 57% vs 49%. 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 $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.5 Sonnet or Ernie 4.5 Turbo?

Ernie 4.5 Turbo has the lower time-to-first-token (200 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude 3.5 Sonnet 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. Claude 3.5 Sonnet and Ernie 4.5 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.