Pairwise benchmark snapshot · Aug 1, 2026

DeepSeek Coder V2 vs Ernie 4.5 Turbo benchmark

Name: DeepSeek Coder V2 vs Ernie 4.5 Turbo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) 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 85 points (1,450 vs 1,365; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, DeepSeek Coder V2 resolves 60.5% versus 57% (seed-bootstrap (Aug 1, 2026)). Ernie 4.5 Turbo streams faster (95 tok/s) while DeepSeek Coder V2 is the cheaper output token ($0.28/1M). DeepSeek Coder V2 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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DeepSeek

DeepSeek Coder V2

DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.

Elo 1,365$0.28/1M 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.

DeepSeek Coder V2 (4)vsErnie 4.5 Turbo (5)

DeepSeek Coder V2: 4W (44%)Overall: Ernie 4.5 TurboErnie 4.5 Turbo: 5W (56%)

← DeepSeek Coder V21 tiesErnie 4.5 Turbo →

Ernie 4.5 Turbo (3/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,450

Coding Elo

1,442vs1,435

SWE-bench

60.5%vs57%

LiveBench

58.6%vs61%

GPQA Diamond

70.2%vs74.5%

DeepSeek Coder V2: 2WErnie 4.5 Turbo: 3W

Ernie 4.5 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs95 tok/s

Time to first token

290 msvs200 ms

DeepSeek Coder V2: 0WErnie 4.5 Turbo: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$1.2/1M

Input price

$0.14/1Mvs$0.3/1M

Context window

128kvs128k

DeepSeek Coder V2: 2WErnie 4.5 Turbo: 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 3/6

Preference Elo

Ernie 4.5 Turbo

85 pts advantage

Throughput Speed

Ernie 4.5 Turbo

20 tok/s faster

Price Efficiency

DeepSeek Coder V2

$0.92/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

1,450+6%

Code Elo

High is better

1,442

Code EloHigh is better

1,435

LiveBench

High is better

58.6%

LiveBenchHigh is better

61%+4%

SWE-bench

High is better

+6%60.5%

SWE-benchHigh is better

57%

GPQA

High is better

70.2%

GPQAHigh is better

74.5%+6%

TTFT

Low is better

290 ms

TTFTLow is better

200 ms+45%

Speed

High is better

75 tok/s

SpeedHigh is better

95 tok/s+27%

In $

Low is better

+114%$0.14/1M

In $Low is better

$0.3/1M

Out $

Low is better

+329%$0.28/1M

Out $Low is better

$1.2/1M

Context

High is better

128k

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 68% with DeepSeek Coder V2

Monthly Volume50M tokens/mo

Quick Presets:

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

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

DeepSeek Coder V2$9.10 / mo

In: $4.90Out: $4.20

Ernie 4.5 Turbo$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $19.40/month ($233/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek Coder V2:Pick DeepSeek Coder V2 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 agentsDeepSeek Coder V2

Higher SWE-bench (60.5%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIErnie 4.5 Turbo

Lower TTFT (200 ms).

Long-document RAGDeepSeek Coder V2

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	DeepSeek Coder V2	Higher SWE-bench (60.5%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	Ernie 4.5 Turbo	Lower TTFT (200 ms).
Long-document RAG	DeepSeek Coder V2	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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CompareLLM Matrix

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LIVE

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

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, DeepSeek Coder V2 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, DeepSeek Coder V2 or Ernie 4.5 Turbo?: DeepSeek Coder V2 leads SWE-bench at 60.5% vs 57%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek Coder V2 output tokens are $0.28/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or Ernie 4.5 Turbo?: Ernie 4.5 Turbo has the lower time-to-first-token (200 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: DeepSeek Coder V2 accepts 128k tokens versus 128k.
Can I self-host either model?: DeepSeek Coder V2 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. DeepSeek Coder V2 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 DeepSeek Coder V2 matchups →|All Ernie 4.5 Turbo matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)Ernie 4.5 Turbo vs Yi-Lightning (previous other)DeepSeek V4 Flash vs Ernie 4.5 Turbo DeepSeek V4 Pro vs Ernie 4.5 Turbo DeepSeek R1 vs DeepSeek Coder V2 Mistral Large 3 vs Ernie 4.5 Turbo

DeepSeek Coder V2 vs Ernie 4.5 Turbo benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (4)vsErnie 4.5 Turbo (5)

DeepSeek Coder V2: 4W (44%)Overall: Ernie 4.5 TurboErnie 4.5 Turbo: 5W (56%)

← DeepSeek Coder V21 tiesErnie 4.5 Turbo →

Ernie 4.5 Turbo (3/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,450

Coding Elo

1,442vs1,435

SWE-bench

60.5%vs57%

LiveBench

58.6%vs61%

GPQA Diamond

70.2%vs74.5%

DeepSeek Coder V2: 2WErnie 4.5 Turbo: 3W

Ernie 4.5 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs95 tok/s

Time to first token

290 msvs200 ms

DeepSeek Coder V2: 0WErnie 4.5 Turbo: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$1.2/1M

Input price

$0.14/1Mvs$0.3/1M

Context window

128kvs128k

DeepSeek Coder V2: 2WErnie 4.5 Turbo: 0W

Recommended Workload Routing

Repo / coding agentsDeepSeek Coder V2

Higher SWE-bench (60.5%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIErnie 4.5 Turbo

Lower TTFT (200 ms).

Long-document RAGDeepSeek Coder V2

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	DeepSeek Coder V2	Higher SWE-bench (60.5%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	Ernie 4.5 Turbo	Lower TTFT (200 ms).
Long-document RAG	DeepSeek Coder V2	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, DeepSeek Coder V2 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, DeepSeek Coder V2 or Ernie 4.5 Turbo?

DeepSeek Coder V2 leads SWE-bench at 60.5% vs 57%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek Coder V2 output tokens are $0.28/1M versus $1.2/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or Ernie 4.5 Turbo?

Ernie 4.5 Turbo has the lower time-to-first-token (200 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

DeepSeek Coder V2 accepts 128k tokens versus 128k.

Can I self-host either model?

DeepSeek Coder V2 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. DeepSeek Coder V2 and Ernie 4.5 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.