Pairwise benchmark snapshot · Aug 17, 2026

Ernie 4.5 Turbo vs Llama 3.1 405B benchmark

Name: Ernie 4.5 Turbo vs Llama 3.1 405B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Ernie 4.5 Turbo (Baidu) and Llama 3.1 405B (Meta) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Ernie 4.5 Turbo is ahead by 80 points (1,450 vs 1,370; lmarena (Aug 17, 2026)). On SWE-bench coding, Llama 3.1 405B resolves 58.4% versus 57% (swebench (Aug 17, 2026)). Ernie 4.5 Turbo streams faster (95 tok/s) while Ernie 4.5 Turbo is the cheaper output token ($1.2/1M). Ernie 4.5 Turbo 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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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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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Ernie 4.5 Turbo (6)vsLlama 3.1 405B (3)

Ernie 4.5 Turbo: 6W (67%)Overall: Ernie 4.5 TurboLlama 3.1 405B: 3W (33%)

← Ernie 4.5 Turbo1 tiesLlama 3.1 405B →

Llama 3.1 405B (3/5)

Intelligence & Reasoning

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

Preference Elo

1,450vs1,370

Coding Elo

1,435vs1,385

SWE-bench

57%vs58.4%

LiveBench

61%vs61.2%

GPQA Diamond

74.5%vs75.2%

Ernie 4.5 Turbo: 2WLlama 3.1 405B: 3W

Ernie 4.5 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

95 tok/svs42 tok/s

Time to first token

200 msvs360 ms

Ernie 4.5 Turbo: 2WLlama 3.1 405B: 0W

Ernie 4.5 Turbo (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.2/1Mvs$3.5/1M

Input price

$0.3/1Mvs$1.25/1M

Context window

128kvs128k

Ernie 4.5 Turbo: 2WLlama 3.1 405B: 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 AdvantageErnie 4.5 Turbo 4/6

Preference Elo

Ernie 4.5 Turbo

80 pts advantage

Throughput Speed

Ernie 4.5 Turbo

53 tok/s faster

Token Price Efficiency

Ernie 4.5 Turbo

$2.30/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+6%1,450

EloHigh is better

1,370

Code Elo

High is better

+4%1,435

Code EloHigh is better

1,385

LiveBench

High is better

61%

LiveBenchHigh is better

61.2%

SWE-bench

High is better

57%

SWE-benchHigh is better

58.4%+2%

GPQA

High is better

74.5%

GPQAHigh is better

75.2%+1%

TTFT

Low is better

+80%200 ms

TTFTLow is better

360 ms

Speed

High is better

+126%95 tok/s

SpeedHigh is better

42 tok/s

In $

Low is better

+317%$0.30 / 1M

In $Low is better

$1.25 / 1M

Out $

Low is better

+192%$1.20 / 1M

Out $Low is better

$3.50 / 1M

Context

High is better

128k

ContextHigh is better

128k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 70% 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: $10.5Out: $18

Llama 3.1 405B$96.25 / mo

In: $43.75Out: $52.5

Estimated Cost Delta

Ernie 4.5 Turbo is estimated to save $67.75/month ($813/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Llama 3.1 405B:Pick Llama 3.1 405B when repo-level coding accuracy is the constraint.
2
Ernie 4.5 Turbo:Pick Ernie 4.5 Turbo when you are optimizing output cost.
3
Ernie 4.5 Turbo:Pick Ernie 4.5 Turbo when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsLlama 3.1 405B

Higher SWE-bench (58.4%).

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 RAGErnie 4.5 Turbo

Larger window (128k).

Screenshots / visionErnie 4.5 Turbo

Ernie 4.5 Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Llama 3.1 405B	Higher SWE-bench (58.4%).
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	Ernie 4.5 Turbo	Larger window (128k).
Screenshots / vision	Ernie 4.5 Turbo	Ernie 4.5 Turbo is the side marked multimodal in the catalog.

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LIVE

Baidu

Ernie 4.5 Turbo

Elo 1,450

LiveBench61%

SWE-bench57%

Speed95 tok/s

Output cost$1.2/1M

Llama 3.1 405B

Elo 1,370

LiveBench61.2%

SWE-bench58.4%

Speed42 tok/s

Output cost$3.5/1M

Frequently Asked Questions

Which is better overall, Ernie 4.5 Turbo or Llama 3.1 405B?: 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, Ernie 4.5 Turbo or Llama 3.1 405B?: Llama 3.1 405B leads SWE-bench at 58.4% vs 57%. 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 $3.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Ernie 4.5 Turbo or Llama 3.1 405B?: Ernie 4.5 Turbo has the lower time-to-first-token (200 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Ernie 4.5 Turbo accepts 128k tokens versus 128k.
Can I self-host either model?: Llama 3.1 405B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 Llama 3.1 405B 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 Llama 3.1 405B matchups →

Ernie 4.5 Turbo vs Yi-Lightning (previous other)Llama 3.1 405B vs Llama 3.1 70B (next llama)Llama 4 Maverick vs Ernie 4.5 Turbo Llama 4 Scout vs Ernie 4.5 Turbo Mistral Large 3 vs Ernie 4.5 Turbo Doubao Pro 1.5 vs Ernie 4.5 Turbo

Ernie 4.5 Turbo vs Llama 3.1 405B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Ernie 4.5 Turbo (6)vsLlama 3.1 405B (3)

Ernie 4.5 Turbo: 6W (67%)Overall: Ernie 4.5 TurboLlama 3.1 405B: 3W (33%)

← Ernie 4.5 Turbo1 tiesLlama 3.1 405B →

Llama 3.1 405B (3/5)

Intelligence & Reasoning

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

Preference Elo

1,450vs1,370

Coding Elo

1,435vs1,385

SWE-bench

57%vs58.4%

LiveBench

61%vs61.2%

GPQA Diamond

74.5%vs75.2%

Ernie 4.5 Turbo: 2WLlama 3.1 405B: 3W

Ernie 4.5 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

95 tok/svs42 tok/s

Time to first token

200 msvs360 ms

Ernie 4.5 Turbo: 2WLlama 3.1 405B: 0W

Ernie 4.5 Turbo (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.2/1Mvs$3.5/1M

Input price

$0.3/1Mvs$1.25/1M

Context window

128kvs128k

Ernie 4.5 Turbo: 2WLlama 3.1 405B: 0W

Recommended Workload Routing

Repo / coding agentsLlama 3.1 405B

Higher SWE-bench (58.4%).

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 RAGErnie 4.5 Turbo

Larger window (128k).

Screenshots / visionErnie 4.5 Turbo

Ernie 4.5 Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Llama 3.1 405B	Higher SWE-bench (58.4%).
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	Ernie 4.5 Turbo	Larger window (128k).
Screenshots / vision	Ernie 4.5 Turbo	Ernie 4.5 Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Ernie 4.5 Turbo or Llama 3.1 405B?

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, Ernie 4.5 Turbo or Llama 3.1 405B?

Llama 3.1 405B leads SWE-bench at 58.4% vs 57%. 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 $3.5/1M. Input prices and retry rates still move the real bill.

Which is faster, Ernie 4.5 Turbo or Llama 3.1 405B?

Ernie 4.5 Turbo has the lower time-to-first-token (200 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Ernie 4.5 Turbo accepts 128k tokens versus 128k.

Can I self-host either model?

Llama 3.1 405B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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 Llama 3.1 405B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.