Model comparison

DeepSeek-V2.5 (Sep 2024) vs ERNIE 5.1

ERNIE 5.1 is the stronger model overall, scoring 43.8 to 37.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.6

Rank #200 Confirmed

ERNIE 5.1 Baidu

43.8

Rank #83 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 1 category and ERNIE 5.1 in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where ERNIE 5.1 leads 65.1 to 49.8.
  • DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V2.5 (Sep 2024) and ERNIE 5.1 specifications
DeepSeek-V2.5 (Sep 2024)ERNIE 5.1
ProviderDeepSeekBaidu
Noometry Index37.643.8
Released2024-09-06—
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2219

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Category by category

Coding ERNIE 5.1 leads

DeepSeek-V2.5 (Sep 2024): 31.7 (#281), ERNIE 5.1: 44.0 (#76)

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Coding13091488
Aider Polyglot17.8%—
BigCodeBench Instruct48.6%—
BigCodeBench Complete53.2%—
HumanEval+83.5%—
MBPP+74.1%—

Agentic & Tool Use Not comparable

DeepSeek-V2.5 (Sep 2024): —, ERNIE 5.1: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Search—1227

Reasoning DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 25.6 (#145), ERNIE 5.1: 21.9 (#211)

Reasoning benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Hard Prompts12891481
NYT Connections (extended)—23.4%

Math ERNIE 5.1 leads

DeepSeek-V2.5 (Sep 2024): 35.9 (#177), ERNIE 5.1: 40.3 (#92)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Math12881481

Knowledge ERNIE 5.1 leads

DeepSeek-V2.5 (Sep 2024): 34.8 (#193), ERNIE 5.1: 41.9 (#102)

Knowledge benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Expert12661492

Multilingual ERNIE 5.1 leads

DeepSeek-V2.5 (Sep 2024): 42.5 (#193), ERNIE 5.1: 55.5 (#29)

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Non-English12731454
LMArena Chinese13181508
LMArena French12891488
LMArena German12581470
LMArena Japanese12281422
LMArena Korean12091427
LMArena Russian12891459
LMArena Spanish12481473

Instruction Following ERNIE 5.1 leads

DeepSeek-V2.5 (Sep 2024): 67.5 (#194), ERNIE 5.1: 76.7 (#37)

Instruction Following benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Instruction Following12801460

Long Context ERNIE 5.1 leads

DeepSeek-V2.5 (Sep 2024): 39.5 (#174), ERNIE 5.1: 44.7 (#59)

Long Context benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Longer Query13011462

Writing & Preference ERNIE 5.1 leads

DeepSeek-V2.5 (Sep 2024): 49.8 (#187), ERNIE 5.1: 65.1 (#52)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)ERNIE 5.1
LMArena Text12941468
LMArena Creative Writing12851441
LMArena Multi-Turn12971471

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than ERNIE 5.1?

ERNIE 5.1 is the stronger model overall, scoring 43.8 to 37.6 on the Noometry Index.

Is DeepSeek-V2.5 (Sep 2024) or ERNIE 5.1 better for coding?

ERNIE 5.1 scores higher on coding benchmarks: 44.0 versus 31.7 in the Noometry coding category.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and ERNIE 5.1 share?

17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and ERNIE 5.1 has 19.

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