Model comparison

DeepSeek-R1-Distill-Llama-70B vs Step 3

Step 3 is the stronger model overall, scoring 40.5 to 37.8 on the Noometry Index.

Last verified . 1 shared benchmarks.

Step 3 StepFun

40.5

Rank #149 Confirmed

Summary

  • They share 1 benchmark with published results for both. DeepSeek-R1-Distill-Llama-70B scores higher in 0 categories and Step 3 in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Step 3 leads 36.8 to 30.7.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 52.3% for DeepSeek-R1-Distill-Llama-70B and 62.3% for Step 3.

Side by side

DeepSeek-R1-Distill-Llama-70B and Step 3 specifications
DeepSeek-R1-Distill-Llama-70BStep 3
ProviderDeepSeekStepFun
Noometry Index37.840.5
Released2025-01-20—
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked1317

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Category by category

Coding Step 3 leads

DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Step 3: 40.1 (#147)

Coding benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
BigCodeBench Instruct35.3%—
LiveBench Coding51.6%—
LMArena Coding—1367
BigCodeBench Complete49.9%—

Reasoning Step 3 leads

DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Step 3: 28.4 (#105)

Reasoning benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
Kagi LLM Benchmark52.3%62.3%
LiveBench Reasoning67.6%—
LMArena Hard Prompts—1355
LiveBench Data Analysis55.9%—
LiveBench54.5%—

Math Step 3 leads

DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Step 3: 37.6 (#148)

Math benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
OTIS Mock AIME 2024-202551.4%—
LiveBench Math58.1%—
LMArena Math—1366
MATH Level 589.9%—

Knowledge Step 3 leads

DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Step 3: 36.8 (#164)

Knowledge benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
GPQA Diamond55.7%—
LMArena Expert—1333

Multimodal Not comparable

DeepSeek-R1-Distill-Llama-70B: —, Step 3: 35.5 (#86)

Multimodal benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
LMArena Vision—1177

Multilingual Not comparable

DeepSeek-R1-Distill-Llama-70B: —, Step 3: 46.3 (#159)

Multilingual benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
LMArena Non-English—1327
LMArena Chinese—1397
LMArena German—1371
LMArena Korean—1269
LMArena Russian—1331
LMArena Spanish—1371

Instruction Following Step 3 leads

DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Step 3: 70.4 (#164)

Instruction Following benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
LiveBench Instruction Following69.9%—
LMArena Instruction Following—1332

Long Context Not comparable

DeepSeek-R1-Distill-Llama-70B: —, Step 3: 40.3 (#157)

Long Context benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
LMArena Longer Query—1326

Writing & Preference Step 3 leads

DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Step 3: 54.3 (#151)

Writing & Preference benchmarks
BenchmarkDeepSeek-R1-Distill-Llama-70BStep 3
LMArena Text—1350
LMArena Creative Writing—1321
LMArena Multi-Turn—1341
LiveBench Language23.8%—

Frequently asked questions

Is DeepSeek-R1-Distill-Llama-70B better than Step 3?

Step 3 is the stronger model overall, scoring 40.5 to 37.8 on the Noometry Index.

Is DeepSeek-R1-Distill-Llama-70B or Step 3 better for coding?

Step 3 scores higher on coding benchmarks: 40.1 versus 36.8 in the Noometry coding category.

How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Step 3 share?

1 benchmark has published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Step 3 has 17.

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