Noometry

Model comparison

GPT-4 Turbo vs Llama 2-13B

GPT-4 Turbo and Llama 2-13B score almost the same on the Noometry Index (30.5 vs 29.6), so choose on price, context window or the category you care about most.

Last verified . 21 shared benchmarks.

GPT-4 Turbo OpenAI

30.5

Rank #292 Confirmed

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-4 Turbo scores higher in 6 categories and Llama 2-13B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Llama 2-13B leads 31.1 to 9.0.
  • The biggest single-benchmark swing is DTBench: 61.6% for GPT-4 Turbo and 42.2% for Llama 2-13B.
  • Llama 2-13B has downloadable open weights; the other is API-only.

Side by side

GPT-4 TurboLlama 2-13B
ProviderOpenAIMeta
Noometry Index30.529.6
Released2023-11-062023-07-18
WeightsProprietaryOpen
Context window128K—
Max output4K—
Input $ / M tokens$10—
Output $ / M tokens$30—
Results tracked3632

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Category by category

Coding GPT-4 Turbo leads

GPT-4 Turbo: 33.8 (#249), Llama 2-13B: 30.9 (#291)

BenchmarkGPT-4 TurboLlama 2-13B
LMArena Coding12681062
WeirdML18%—
BigCodeBench Instruct48.2%—
BigCodeBench Complete58.2%—
HumanEval+86.6%—
MBPP+73.3%—

Agentic & Tool Use Not comparable

GPT-4 Turbo: —, Llama 2-13B: —

BenchmarkGPT-4 TurboLlama 2-13B
METR Time Horizons36.7%—

Reasoning GPT-4 Turbo leads

GPT-4 Turbo: 15.3 (#317), Llama 2-13B: 12.8 (#337)

BenchmarkGPT-4 TurboLlama 2-13B
Chess Puzzles6%0%
LMArena Hard Prompts12511051
DTBench61.6%42.2%
Epoch Capabilities Index127.25106.17
SimpleBench25.1%—
LMCA9.8%—
BIG-Bench Hard—58.2%
ForecastBench59.4—
HellaSwag—80.7%
LAMBADA—76.5%
PIQA—80.8%
WinoGrande—72.8%

Math Llama 2-13B leads

GPT-4 Turbo: 9.0 (#322), Llama 2-13B: 31.1 (#229)

BenchmarkGPT-4 TurboLlama 2-13B
LMArena Math12721065
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.7%—
MATH Level 546.7%—
GSM8K—36.9%

Knowledge Llama 2-13B leads

GPT-4 Turbo: 24.3 (#268), Llama 2-13B: 28.1 (#249)

BenchmarkGPT-4 TurboLlama 2-13B
LMArena Expert12231030
MMLU81.3%55.6%
GPQA Diamond46.6%—
Confabulations28.4%—
ARC (AI2) Challenge—60.3%
BoolQ—82.4%
OpenBookQA—57%
TriviaQA—79.6%

Multimodal Not comparable

GPT-4 Turbo: 30.6 (#110), Llama 2-13B: —

BenchmarkGPT-4 TurboLlama 2-13B
LMArena Vision1090—
ScienceQA—55.8%

Multilingual GPT-4 Turbo leads

GPT-4 Turbo: 40.5 (#216), Llama 2-13B: 26.5 (#279)

BenchmarkGPT-4 TurboLlama 2-13B
LMArena Non-English12451024
LMArena Chinese12421001
LMArena French12761044
LMArena German12591009
LMArena Japanese1194894
LMArena Korean1187953
LMArena Russian12591055
LMArena Spanish12601087

Instruction Following GPT-4 Turbo leads

GPT-4 Turbo: 65.8 (#216), Llama 2-13B: 53.3 (#287)

BenchmarkGPT-4 TurboLlama 2-13B
LMArena Instruction Following12491045

Long Context GPT-4 Turbo leads

GPT-4 Turbo: 38.0 (#206), Llama 2-13B: 32.3 (#269)

BenchmarkGPT-4 TurboLlama 2-13B
LMArena Longer Query12541064

Writing & Preference GPT-4 Turbo leads

GPT-4 Turbo: 47.7 (#206), Llama 2-13B: 29.8 (#289)

BenchmarkGPT-4 TurboLlama 2-13B
LMArena Text12721084
LMArena Creative Writing12691047
LMArena Multi-Turn12671050

Frequently asked questions

Is GPT-4 Turbo better than Llama 2-13B?

GPT-4 Turbo and Llama 2-13B score almost the same on the Noometry Index (30.5 vs 29.6), so choose on price, context window or the category you care about most.

Is GPT-4 Turbo or Llama 2-13B better for coding?

GPT-4 Turbo scores higher on coding benchmarks: 33.8 versus 30.9 in the Noometry coding category.

How many benchmarks do GPT-4 Turbo and Llama 2-13B share?

21 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Llama 2-13B has 32.

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