Model comparison

Falcon-180B vs Llama 3.1-70B

Falcon-180B is the stronger model overall, scoring 32.2 to 29.6 on the Noometry Index.

Last verified . 8 shared benchmarks.

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Falcon-180B scores higher in 0 categories and Llama 3.1-70B in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where Llama 3.1-70B leads 38.8 to 25.2.

Side by side

Falcon-180B and Llama 3.1-70B specifications
Falcon-180BLlama 3.1-70B
ProviderTechnology Innovation InstituteMeta
Noometry Index32.229.6
Released2023-09-062024-07-23
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.40
Output $ / M tokens—$0.40
Results tracked1635

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Category by category

Coding Not comparable

Falcon-180B: —, Llama 3.1-70B: 30.3 (#296)

Coding benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
WeirdML—9%
BigCodeBench Instruct—46.1%
LMArena Coding—1260
BigCodeBench Complete—54.8%

Agentic & Tool Use Not comparable

Falcon-180B: —, Llama 3.1-70B: 25.1 (#112)

Agentic & Tool Use benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
TheAgentCompany—6.9%
BALROG—27.9%

Reasoning Llama 3.1-70B leads

Falcon-180B: 19.1 (#269), Llama 3.1-70B: 21.6 (#220)

Reasoning benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
LMArena Hard Prompts10071241
Epoch Capabilities Index112.13125.92
DTBench—60%
LMCA—14.8%
HellaSwag89%—
LAMBADA79.8%—
PIQA84.9%—
WinoGrande87.1%—

Math Not comparable

Falcon-180B: —, Llama 3.1-70B: 13.5 (#304)

Math benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
OTIS Mock AIME 2024-2025—3.6%
Omni-MATH—21%
LMArena Math—1252
MATH Level 5—36.7%
GSM8K54.4%—

Knowledge Not comparable

Falcon-180B: —, Llama 3.1-70B: 24.2 (#269)

Knowledge benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
MMLU70.6%80.1%
GPQA Diamond—44.2%
MMLU-Pro—65.3%
GPQA (HELM)—42.6%
LMArena Expert—1209
ARC (AI2) Challenge67.8%—
BoolQ89%—
OpenBookQA64.2%—

Multilingual Llama 3.1-70B leads

Falcon-180B: 25.2 (#286), Llama 3.1-70B: 38.8 (#225)

Multilingual benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
LMArena Non-English10001219
LMArena Chinese—1215
LMArena French—1261
LMArena German—1222
LMArena Japanese—1132
LMArena Korean—1140
LMArena Russian—1234
LMArena Spanish—1253

Instruction Following Llama 3.1-70B leads

Falcon-180B: 53.4 (#286), Llama 3.1-70B: 65.3 (#223)

Instruction Following benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
LMArena Instruction Following10471231
IFEval—82.1%

Long Context Not comparable

Falcon-180B: —, Llama 3.1-70B: 37.6 (#214)

Long Context benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
LMArena Longer Query—1241

Writing & Preference Llama 3.1-70B leads

Falcon-180B: 29.1 (#295), Llama 3.1-70B: 35.4 (#267)

Writing & Preference benchmarks
BenchmarkFalcon-180BLlama 3.1-70B
LMArena Text10541261
LMArena Creative Writing10891232
LMArena Multi-Turn10131256
EQ-Bench Creative Writing—784
WildBench—75.8%

Frequently asked questions

Is Falcon-180B better than Llama 3.1-70B?

Falcon-180B is the stronger model overall, scoring 32.2 to 29.6 on the Noometry Index.

How many benchmarks do Falcon-180B and Llama 3.1-70B share?

8 benchmarks have published results for both models. Falcon-180B has 16 scored results on Noometry and Llama 3.1-70B has 35.

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