Model comparison

DeepSeek-R1 vs Falcon-180B

DeepSeek-R1 is the stronger model overall, scoring 42.0 to 31.8 on the Noometry Index.

Last verified . 7 shared benchmarks.

DeepSeek-R1 DeepSeek

42.0

Rank #110 Confirmed

Summary

  • They share 7 benchmarks with published results for both. DeepSeek-R1 scores higher in 4 categories and Falcon-180B in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where DeepSeek-R1 leads 61.5 to 29.3.
  • Falcon-180B has downloadable open weights; the other is API-only.

Side by side

DeepSeek-R1 and Falcon-180B specifications
DeepSeek-R1Falcon-180B
ProviderDeepSeekTechnology Innovation Institute
Noometry Index42.031.8
Released2025-01-202023-09-06
WeightsProprietaryOpen
Context window164K—
Max output64K—
Input $ / M tokens$0.50—
Output $ / M tokens$2.15—
Results tracked5216

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Category by category

Coding Not comparable

DeepSeek-R1: 45.9 (#63), Falcon-180B: —

Coding benchmarks
BenchmarkDeepSeek-R1Falcon-180B
Aider Polyglot71.4%—
SciCode35.7%—
WeirdML41.6%—
LiveBench Coding66.7%—
LMArena Coding1427—
ALE-Bench804.12—
AlgoTune1.7—

Agentic & Tool Use Not comparable

DeepSeek-R1: 30.4 (#68), Falcon-180B: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-R1Falcon-180B
DeepResearch Bench35.1%—
BALROG34.9%—
METR Time Horizons53.8%—

Reasoning Too close to call

DeepSeek-R1: 18.7 (#253), Falcon-180B: 18.3 (#266)

Reasoning benchmarks
BenchmarkDeepSeek-R1Falcon-180B
LMArena Hard Prompts14151007
Epoch Capabilities Index141.3111.89
ARC-AGI-21.3%—
SimpleBench40.8%—
Kagi LLM Benchmark69.4%—
ARC-AGI-121.2%—
CritPt1.1%—
LiveBench Reasoning83.2%—
LiveBench Data Analysis69.8%—
ForecastBench60—
HellaSwag—89%
LAMBADA—79.8%
LiveBench71.6%—
PIQA—84.9%
WinoGrande—87.1%

Math Not comparable

DeepSeek-R1: 42.0 (#70), Falcon-180B: —

Math benchmarks
BenchmarkDeepSeek-R1Falcon-180B
OTIS Mock AIME 2024-202566.4%—
Omni-MATH42.4%—
LiveBench Math80.7%—
LMArena Math1401—
MATH Level 596.6%—
GSM8K—54.4%

Knowledge Not comparable

DeepSeek-R1: 44.3 (#81), Falcon-180B: —

Knowledge benchmarks
BenchmarkDeepSeek-R1Falcon-180B
GPQA Diamond76.3%—
MMLU-Pro79.3%—
Confabulations12.7%—
Vectara Hallucination Rate11.3%—
GPQA (HELM)66.6%—
LMArena Expert1394—
ARC (AI2) Challenge—67.8%
BoolQ—89%
MMLU—70.6%
OpenBookQA—64.2%

Multilingual DeepSeek-R1 leads

DeepSeek-R1: 52.6 (#80), Falcon-180B: 25.3 (#281)

Multilingual benchmarks
BenchmarkDeepSeek-R1Falcon-180B
LMArena Non-English14121000
LMArena Chinese1443—
LMArena French1415—
LMArena German1405—
LMArena Japanese1394—
LMArena Korean1359—
LMArena Russian1423—
LMArena Spanish1410—

Instruction Following DeepSeek-R1 leads

DeepSeek-R1: 72.2 (#138), Falcon-180B: 53.6 (#281)

Instruction Following benchmarks
BenchmarkDeepSeek-R1Falcon-180B
LMArena Instruction Following13821047
LiveBench Instruction Following80.5%—
IFEval78.4%—

Long Context Not comparable

DeepSeek-R1: 45.4 (#36), Falcon-180B: —

Long Context benchmarks
BenchmarkDeepSeek-R1Falcon-180B
Fiction.LiveBench75%—
LMArena Longer Query1391—

Writing & Preference DeepSeek-R1 leads

DeepSeek-R1: 61.5 (#84), Falcon-180B: 29.3 (#290)

Writing & Preference benchmarks
BenchmarkDeepSeek-R1Falcon-180B
LMArena Text14281054
LMArena Creative Writing14061089
LMArena Multi-Turn14041013
Short-Story Creative Writing83%—
EQ-Bench Creative Writing1500—
WildBench82.8%—
LiveBench Language48.5%—

Frequently asked questions

Is DeepSeek-R1 better than Falcon-180B?

DeepSeek-R1 is the stronger model overall, scoring 42.0 to 31.8 on the Noometry Index.

How many benchmarks do DeepSeek-R1 and Falcon-180B share?

7 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and Falcon-180B has 16.

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