Model comparison

Llama 3.1-405B vs Step 2 16k Exp 202412

Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 30.7 on the Noometry Index.

Last verified . 12 shared benchmarks.

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Step 2 16k Exp 202412 StepFun

39.2

Rank #171 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Llama 3.1-405B scores higher in 0 categories and Step 2 16k Exp 202412 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Step 2 16k Exp 202412 leads 36.3 to 18.4.
  • Llama 3.1-405B has downloadable open weights; the other is API-only.

Side by side

Llama 3.1-405B and Step 2 16k Exp 202412 specifications
Llama 3.1-405BStep 2 16k Exp 202412
ProviderMetaStepFun
Noometry Index30.739.2
Released2024-07-23—
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4212

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Category by category

Coding Step 2 16k Exp 202412 leads

Llama 3.1-405B: 33.1 (#262), Step 2 16k Exp 202412: 38.5 (#174)

Coding benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
LMArena Coding12911316
WeirdML21.4%—

Agentic & Tool Use Not comparable

Llama 3.1-405B: 21.0 (#140), Step 2 16k Exp 202412: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
TheAgentCompany7.4%—
Cybench7.5%—

Reasoning Step 2 16k Exp 202412 leads

Llama 3.1-405B: 16.8 (#300), Step 2 16k Exp 202412: 25.9 (#142)

Reasoning benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
LMArena Hard Prompts12691299
SimpleBench23%—
Kagi LLM Benchmark45%—
DTBench61.4%—
BIG-Bench Hard82.9%—
Epoch Capabilities Index128.75—
ForecastBench59.9—
HellaSwag89.2%—
PIQA85.9%—
WinoGrande89.2%—

Math Step 2 16k Exp 202412 leads

Llama 3.1-405B: 18.4 (#290), Step 2 16k Exp 202412: 36.3 (#169)

Math benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
LMArena Math12811304
OTIS Mock AIME 2024-20259.7%—
Omni-MATH24.9%—
MATH Level 549.8%—

Knowledge Step 2 16k Exp 202412 leads

Llama 3.1-405B: 30.4 (#227), Step 2 16k Exp 202412: 35.2 (#187)

Knowledge benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
LMArena Expert12431279
GPQA Diamond50.9%—
MMLU-Pro72.3%—
Confabulations17.6%—
GPQA (HELM)52.2%—
ARC (AI2) Challenge95.3%—
MMLU84.5%—
TriviaQA82.7%—

Multilingual Step 2 16k Exp 202412 leads

Llama 3.1-405B: 40.7 (#214), Step 2 16k Exp 202412: 43.7 (#181)

Multilingual benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
LMArena Non-English12481290
LMArena Chinese12421331
LMArena Russian12651324
LMArena French1279—
LMArena German1252—
LMArena Japanese1208—
LMArena Korean1184—
LMArena Spanish1260—

Instruction Following Step 2 16k Exp 202412 leads

Llama 3.1-405B: 65.9 (#214), Step 2 16k Exp 202412: 67.9 (#192)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
LMArena Instruction Following12591287
IFEval81.1%—

Long Context Step 2 16k Exp 202412 leads

Llama 3.1-405B: 38.4 (#197), Step 2 16k Exp 202412: 39.7 (#170)

Long Context benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
LMArena Longer Query12661307

Writing & Preference Step 2 16k Exp 202412 leads

Llama 3.1-405B: 38.9 (#251), Step 2 16k Exp 202412: 52.3 (#173)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BStep 2 16k Exp 202412
LMArena Text12841321
LMArena Creative Writing12621328
LMArena Multi-Turn12971292
EQ-Bench Creative Writing870—
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than Step 2 16k Exp 202412?

Step 2 16k Exp 202412 is the stronger model overall, scoring 39.2 to 30.7 on the Noometry Index.

Is Llama 3.1-405B or Step 2 16k Exp 202412 better for coding?

Step 2 16k Exp 202412 scores higher on coding benchmarks: 38.5 versus 33.1 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Step 2 16k Exp 202412 share?

12 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Step 2 16k Exp 202412 has 12.

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