Model comparison

DeepSeek-V2.5 (Sep 2024) vs Step 2 16k Exp 202412

Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 37.6 on the Noometry Index.

Last verified . 12 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.6

Rank #200 Confirmed

Step 2 16k Exp 202412 StepFun

39.2

Rank #171 Confirmed

Summary

  • They share 12 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Step 2 16k Exp 202412 in 8 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Step 2 16k Exp 202412 leads 38.5 to 31.7.
  • DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V2.5 (Sep 2024) and Step 2 16k Exp 202412 specifications
DeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
ProviderDeepSeekStepFun
Noometry Index37.639.2
Released2024-09-06—
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2212

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Category by category

Coding Step 2 16k Exp 202412 leads

DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Step 2 16k Exp 202412: 38.5 (#174)

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
LMArena Coding13091316
Aider Polyglot17.8%—
BigCodeBench Instruct48.6%—
BigCodeBench Complete53.2%—
HumanEval+83.5%—
MBPP+74.1%—

Reasoning Too close to call

DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Step 2 16k Exp 202412: 25.9 (#142)

Reasoning benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
LMArena Hard Prompts12891299

Math Too close to call

DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Step 2 16k Exp 202412: 36.3 (#169)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
LMArena Math12881304

Knowledge Too close to call

DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Step 2 16k Exp 202412: 35.2 (#187)

Knowledge benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
LMArena Expert12661279

Multilingual Step 2 16k Exp 202412 leads

DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Step 2 16k Exp 202412: 43.7 (#181)

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
LMArena Non-English12731290
LMArena Chinese13181331
LMArena Russian12891324
LMArena French1289—
LMArena German1258—
LMArena Japanese1228—
LMArena Korean1209—
LMArena Spanish1248—

Instruction Following Too close to call

DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Step 2 16k Exp 202412: 67.9 (#192)

Instruction Following benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
LMArena Instruction Following12801287

Long Context Too close to call

DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Step 2 16k Exp 202412: 39.7 (#170)

Long Context benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
LMArena Longer Query13011307

Writing & Preference Step 2 16k Exp 202412 leads

DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Step 2 16k Exp 202412: 52.3 (#173)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Step 2 16k Exp 202412
LMArena Text12941321
LMArena Creative Writing12851328
LMArena Multi-Turn12971292

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than Step 2 16k Exp 202412?

Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 37.6 on the Noometry Index.

Is DeepSeek-V2.5 (Sep 2024) or Step 2 16k Exp 202412 better for coding?

Step 2 16k Exp 202412 scores higher on coding benchmarks: 38.5 versus 31.7 in the Noometry coding category.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Step 2 16k Exp 202412 share?

12 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Step 2 16k Exp 202412 has 12.

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