Noometry

Model comparison

Gemini 1.0 Pro vs Llama 3.1-405B

Llama 3.1-405B is the stronger model overall, scoring 30.7 to 27.3 on the Noometry Index.

Last verified . 22 shared benchmarks.

Gemini 1.0 Pro Google

27.3

Rank #332 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 1 category and Llama 3.1-405B in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Llama 3.1-405B leads 30.4 to 15.6.
  • The biggest single-benchmark swing is MATH Level 5: 11.2% for Gemini 1.0 Pro and 49.8% for Llama 3.1-405B.
  • Llama 3.1-405B has downloadable open weights; the other is API-only.

Side by side

Gemini 1.0 ProLlama 3.1-405B
ProviderGoogleMeta
Noometry Index27.330.7
Released2023-12-132024-07-23
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2442

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Category by category

Coding Too close to call

Gemini 1.0 Pro: 32.2 (#275), Llama 3.1-405B: 33.1 (#262)

BenchmarkGemini 1.0 ProLlama 3.1-405B
LMArena Coding11081291
WeirdML—21.4%
HumanEval+55.5%—
MBPP+61.4%—

Agentic & Tool Use Not comparable

Gemini 1.0 Pro: —, Llama 3.1-405B: 21.0 (#140)

BenchmarkGemini 1.0 ProLlama 3.1-405B
TheAgentCompany—7.4%
Cybench—7.5%

Reasoning Too close to call

Gemini 1.0 Pro: 17.1 (#296), Llama 3.1-405B: 16.8 (#300)

BenchmarkGemini 1.0 ProLlama 3.1-405B
LMArena Hard Prompts11091269
DTBench45.9%61.4%
Epoch Capabilities Index117.04128.75
SimpleBench—23%
Kagi LLM Benchmark—45%
BIG-Bench Hard—82.9%
ForecastBench—59.9
HellaSwag—89.2%
PIQA—85.9%
WinoGrande—89.2%

Math Llama 3.1-405B leads

Gemini 1.0 Pro: 9.3 (#321), Llama 3.1-405B: 18.4 (#290)

BenchmarkGemini 1.0 ProLlama 3.1-405B
OTIS Mock AIME 2024-20251.1%9.7%
LMArena Math11321281
MATH Level 511.2%49.8%
Omni-MATH—24.9%

Knowledge Llama 3.1-405B leads

Gemini 1.0 Pro: 15.6 (#291), Llama 3.1-405B: 30.4 (#227)

BenchmarkGemini 1.0 ProLlama 3.1-405B
GPQA Diamond34%50.9%
LMArena Expert10591243
MMLU70%84.5%
MMLU-Pro—72.3%
Confabulations—17.6%
GPQA (HELM)—52.2%
ARC (AI2) Challenge—95.3%
TriviaQA—82.7%

Multilingual Llama 3.1-405B leads

Gemini 1.0 Pro: 33.4 (#252), Llama 3.1-405B: 40.7 (#214)

BenchmarkGemini 1.0 ProLlama 3.1-405B
LMArena Non-English11381248
LMArena Chinese11241242
LMArena French11451279
LMArena German11251252
LMArena Japanese10231208
LMArena Russian11861265
LMArena Spanish11191260
LMArena Korean—1184

Instruction Following Llama 3.1-405B leads

Gemini 1.0 Pro: 57.6 (#267), Llama 3.1-405B: 65.9 (#214)

BenchmarkGemini 1.0 ProLlama 3.1-405B
LMArena Instruction Following11141259
IFEval—81.1%

Long Context Llama 3.1-405B leads

Gemini 1.0 Pro: 34.3 (#249), Llama 3.1-405B: 38.4 (#197)

BenchmarkGemini 1.0 ProLlama 3.1-405B
LMArena Longer Query11321266

Writing & Preference Llama 3.1-405B leads

Gemini 1.0 Pro: 36.0 (#264), Llama 3.1-405B: 38.9 (#251)

BenchmarkGemini 1.0 ProLlama 3.1-405B
LMArena Text11491284
LMArena Creative Writing11311262
LMArena Multi-Turn11391297
EQ-Bench Creative Writing—870
WildBench—78.3%

Frequently asked questions

Is Gemini 1.0 Pro better than Llama 3.1-405B?

Llama 3.1-405B is the stronger model overall, scoring 30.7 to 27.3 on the Noometry Index.

Is Gemini 1.0 Pro or Llama 3.1-405B better for coding?

They score almost the same on coding (32.2 vs 33.1); test both on your own repository before choosing.

How many benchmarks do Gemini 1.0 Pro and Llama 3.1-405B share?

22 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Llama 3.1-405B has 42.

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