Model comparison

DeepSeek-V2.5 (Sep 2024) vs Phi-4

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.2 on the Noometry Index.

Last verified . 19 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.6

Rank #200 Confirmed

Phi-4 Microsoft

31.2

Rank #279 Confirmed

Summary

  • They share 19 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Phi-4 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek-V2.5 (Sep 2024) leads 35.9 to 20.8.

Side by side

DeepSeek-V2.5 (Sep 2024) and Phi-4 specifications
DeepSeek-V2.5 (Sep 2024)Phi-4
ProviderDeepSeekMicrosoft
Noometry Index37.631.2
Released2024-09-062024-12-11
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.07
Output $ / M tokens—$0.14
Results tracked2237

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Category by category

Coding Phi-4 leads

DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Phi-4: 34.4 (#239)

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
BigCodeBench Instruct48.6%45.5%
LMArena Coding13091231
BigCodeBench Complete53.2%55.4%
Aider Polyglot17.8%—
LiveBench Coding—30.7%
HumanEval+83.5%—
MBPP+74.1%—

Agentic & Tool Use Not comparable

DeepSeek-V2.5 (Sep 2024): —, Phi-4: 22.8 (#128)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
Berkeley Function Calling Leaderboard—28.8%
BALROG—11.6%

Reasoning DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Phi-4: 17.7 (#291)

Reasoning benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
LMArena Hard Prompts12891220
Chess Puzzles—1%
LiveBench Reasoning—47.8%
LiveBench Data Analysis—45.2%
Epoch Capabilities Index—130.42
LiveBench—41.6%

Math DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Phi-4: 20.8 (#285)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
LMArena Math12881246
OTIS Mock AIME 2024-2025—13.8%
LiveBench Math—42%
MATH Level 5—64.9%

Knowledge DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Phi-4: 32.6 (#209)

Knowledge benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
LMArena Expert12661203
GPQA Diamond—56.1%
Confabulations—29.4%
Vectara Hallucination Rate—3.7%
MMLU—84.8%

Multilingual DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Phi-4: 37.2 (#237)

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
LMArena Non-English12731197
LMArena Chinese13181212
LMArena French12891224
LMArena German12581222
LMArena Japanese12281158
LMArena Korean12091151
LMArena Russian12891209
LMArena Spanish12481234

Instruction Following DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Phi-4: 60.4 (#251)

Instruction Following benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
LMArena Instruction Following12801201
LiveBench Instruction Following—58.4%

Long Context DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Phi-4: 36.9 (#226)

Long Context benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
LMArena Longer Query13011217

Writing & Preference DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Phi-4: 40.5 (#244)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Phi-4
LMArena Text12941217
LMArena Creative Writing12851182
LMArena Multi-Turn12971206
Short-Story Creative Writing—62.6%
LiveBench Language—25.6%

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than Phi-4?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.2 on the Noometry Index.

Is DeepSeek-V2.5 (Sep 2024) or Phi-4 better for coding?

Phi-4 scores higher on coding benchmarks: 34.4 versus 31.7 in the Noometry coding category.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Phi-4 share?

19 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Phi-4 has 37.

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