Pairwise benchmark snapshot · Aug 1, 2026

Ernie 4.5 Turbo vs Llama 3.1 70B benchmark

Name: Ernie 4.5 Turbo vs Llama 3.1 70B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Ernie 4.5 Turbo delivers higher overall intelligence and human-preferred responses (Elo 1,450 vs 1,240), while Ernie 4.5 Turbo leads in SWE-bench software engineering benchmarks (57%), while Llama 3.1 70B is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Verified Head-to-Head Advantage Breakdown

8 direct benchmark disciplines evaluated across capability, speed, and cost

Ernie 4.5 Turbo (5)Llama 3.1 70B (3)

Ernie 4.5 Turbo

5 of 8 Wins

✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Input price

Llama 3.1 70B

3 of 8 Wins

✓Time to first token✓Output speed✓Output price

Baidu

Leads 5 of 8 metrics

Ernie 4.5 Turbo

Baidu current multimodal enterprise foundation model with broad Chinese knowledge.

Elo 1,450$1.2/1M out

Ernie 4.5 Turbo

Δ 210 Arena Elo pts

Throughput LeaderLlama 3.1 70B Wins

Llama 3.1 70B

125 tok/s

Value per Dollar LeaderLlama 3.1 70B Wins

Llama 3.1 70B

$0.4 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

Percentile 0–100

Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Ernie 4.5 Turbo (6)vsLlama 3.1 70B (3)

Ernie 4.5 Turbo: 6W (67%)Overall: Ernie 4.5 TurboLlama 3.1 70B: 3W (33%)

← Ernie 4.5 Turbo1 tiesLlama 3.1 70B →

🏆Ernie 4.5 Turbo(5/5)

Intelligence & Reasoning

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

Benchmark

Ernie 4.5 TurbovsLlama 3.1 70B

Preference Elo

1,450vs1,240+210

Coding Elo

1,435vs—

SWE-bench

57%vs40.2%+16.8%

LiveBench

61%vs46.8%+14.2%

GPQA Diamond

74.5%vs48%+26.5%

Ernie 4.5 Turbo: 5WLlama 3.1 70B: 0W

🏆Llama 3.1 70B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Ernie 4.5 TurbovsLlama 3.1 70B

Output speed

95 tok/svs125 tok/s+30 tok/s

Time to first token

200 msvs170 ms+30 ms

Ernie 4.5 Turbo: 0WLlama 3.1 70B: 2W

Tied (1-1)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Ernie 4.5 TurbovsLlama 3.1 70B

Output price

$1.2/1Mvs$0.4/1M+$0.8/1M

Input price

$0.3/1Mvs$0.35/1M+$0.05/1M

Context window

128kvs128k

Ernie 4.5 Turbo: 1WLlama 3.1 70B: 1W

Side-by-Side Benchmark Matrix

Preference Elo+210

Ernie 4.5 Turbo1,450

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B1,240

seed-bootstrap · Aug 1, 2026

Coding Elo

Ernie 4.5 Turbo1,435

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B—

LiveBench+14.2%

Ernie 4.5 Turbo61%

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B46.8%

seed-bootstrap · Aug 1, 2026

SWE-bench+16.8%

Ernie 4.5 Turbo57%

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B40.2%

seed-bootstrap · Aug 1, 2026

GPQA Diamond+26.5%

Ernie 4.5 Turbo74.5%

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B48%

seed-bootstrap · Aug 1, 2026

Time to first token+30 ms

Ernie 4.5 Turbo200 ms

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B170 ms

seed-bootstrap · Aug 1, 2026

Output speed+30 tok/s

Ernie 4.5 Turbo95 tok/s

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B125 tok/s

seed-bootstrap · Aug 1, 2026

Input price+$0.05/1M

Ernie 4.5 Turbo$0.3/1M

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B$0.35/1M

seed-bootstrap · Aug 1, 2026

Output price+$0.8/1M

Ernie 4.5 Turbo$1.2/1M

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B$0.4/1M

seed-bootstrap · Aug 1, 2026

Context window

Ernie 4.5 Turbo128k

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B128k

seed-bootstrap · Aug 1, 2026

Benchmark	Ernie 4.5 Turbo	Llama 3.1 70B	Advantage Delta
Preference Elo	1,450 seed-bootstrap · Aug 1, 2026	1,240 seed-bootstrap · Aug 1, 2026	+210
Coding Elo	1,435 seed-bootstrap · Aug 1, 2026	—	—
LiveBench	61% seed-bootstrap · Aug 1, 2026	46.8% seed-bootstrap · Aug 1, 2026	+14.2%
SWE-bench	57% seed-bootstrap · Aug 1, 2026	40.2% seed-bootstrap · Aug 1, 2026	+16.8%
GPQA Diamond	74.5% seed-bootstrap · Aug 1, 2026	48% seed-bootstrap · Aug 1, 2026	+26.5%
Time to first token	200 ms seed-bootstrap · Aug 1, 2026	170 ms seed-bootstrap · Aug 1, 2026	+30 ms
Output speed	95 tok/s seed-bootstrap · Aug 1, 2026	125 tok/s seed-bootstrap · Aug 1, 2026	+30 tok/s
Input price	$0.3/1M seed-bootstrap · Aug 1, 2026	$0.35/1M seed-bootstrap · Aug 1, 2026	+$0.05/1M
Output price	$1.2/1M seed-bootstrap · Aug 1, 2026	$0.4/1M seed-bootstrap · Aug 1, 2026	+$0.8/1M
Context window	128k seed-bootstrap · Aug 1, 2026	128k seed-bootstrap · Aug 1, 2026	—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 36% with Llama 3.1 70B

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 70B$18.25 / mo

In: $12.25Out: $6

Estimated Cost Delta

Llama 3.1 70B is estimated to save $10.25/month ($123/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
Llama 3.1 70B:Pick Llama 3.1 70B when you are optimizing output cost.
3
Llama 3.1 70B:Pick Llama 3.1 70B when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsErnie 4.5 Turbo

Higher SWE-bench (57%).

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UILlama 3.1 70B

Lower TTFT (170 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	Ernie 4.5 Turbo	Higher SWE-bench (57%).
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	Llama 3.1 70B	Lower TTFT (170 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.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Baidu

Ernie 4.5 Turbo

Elo 1,450

SWE-bench57%

Speed (tok/s)95 tok/s

Input / 1M Tokens$0.3/1M

Output / 1M Tokens$1.2/1M

Llama 3.1 70B

Elo 1,240

SWE-bench40.2%

Speed (tok/s)125 tok/s

Input / 1M Tokens$0.35/1M

Output / 1M Tokens$0.4/1M

Frequently Asked Questions

Which is better overall, Ernie 4.5 Turbo or Llama 3.1 70B?: 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 70B?: Ernie 4.5 Turbo leads SWE-bench at 57% vs 40.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Llama 3.1 70B output tokens are $0.4/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Ernie 4.5 Turbo or Llama 3.1 70B?: Llama 3.1 70B has the lower time-to-first-token (170 ms vs 200 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 70B 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 70B 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 70B matchups →

Ernie 4.5 Turbo vs Yi-Lightning (previous other)Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)Llama 4 Maverick vs Ernie 4.5 Turbo Llama 4 Scout vs Ernie 4.5 Turbo Llama 3.1 405B vs Ernie 4.5 Turbo

Ernie 4.5 Turbo vs Llama 3.1 70B benchmark

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

Percentile 0–100

Benchmark

Ernie 4.5 Turbo

Llama 3.1 70B

Advantage Delta

Preference Elo

1,450

seed-bootstrap · Aug 1, 2026

1,240

seed-bootstrap · Aug 1, 2026

+210

Coding Elo

1,435

seed-bootstrap · Aug 1, 2026

—

LiveBench

61%

seed-bootstrap · Aug 1, 2026

46.8%

seed-bootstrap · Aug 1, 2026

+14.2%

SWE-bench

57%

seed-bootstrap · Aug 1, 2026

40.2%

seed-bootstrap · Aug 1, 2026

+16.8%

GPQA Diamond

74.5%

seed-bootstrap · Aug 1, 2026

48%

seed-bootstrap · Aug 1, 2026

+26.5%

Time to first token

200 ms

seed-bootstrap · Aug 1, 2026

170 ms

seed-bootstrap · Aug 1, 2026

+30 ms

Output speed

95 tok/s

seed-bootstrap · Aug 1, 2026

125 tok/s

seed-bootstrap · Aug 1, 2026

+30 tok/s

Input price

$0.3/1M

seed-bootstrap · Aug 1, 2026

$0.35/1M

seed-bootstrap · Aug 1, 2026

+$0.05/1M

Output price

$1.2/1M

seed-bootstrap · Aug 1, 2026

$0.4/1M

seed-bootstrap · Aug 1, 2026

+$0.8/1M

Context window

128k

seed-bootstrap · Aug 1, 2026

128k

seed-bootstrap · Aug 1, 2026

—

Recommended Workload Routing

Repo / coding agentsErnie 4.5 Turbo

Higher SWE-bench (57%).

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UILlama 3.1 70B

Lower TTFT (170 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	Ernie 4.5 Turbo	Higher SWE-bench (57%).
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	Llama 3.1 70B	Lower TTFT (170 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 70B?

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 70B?

Ernie 4.5 Turbo leads SWE-bench at 57% vs 40.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Llama 3.1 70B output tokens are $0.4/1M versus $1.2/1M. Input prices and retry rates still move the real bill.

Which is faster, Ernie 4.5 Turbo or Llama 3.1 70B?

Llama 3.1 70B has the lower time-to-first-token (170 ms vs 200 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 70B 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 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.