LIVE INTELLIGENCE · part of the Xentir AI Index

GPT-3.5 Turbo (Jan 2024) vs Llama 2-70B (Chat)

Name: GPT-3.5 Turbo (Jan 2024) vs Llama 2-70B (Chat) — benchmark results
Creator: Epoch AI
License: https://creativecommons.org/licenses/by/4.0/

GPT-3.5 Turbo (Jan 2024) · OpenAI, released 2024-01-25
Llama 2-70B (Chat) OPEN WEIGHTS · Meta AI, released 2023-07-18

“Epoch AI, 'AI Benchmarking Hub'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks' [online resource].” · epoch.ai/benchmarks · Licensed CC BY 4.0 · data last verified 2026-09-10 · Methodology · Data Sources

GPT-3.5 Turbo (Jan 2024) leads on more of the 4 benchmarks where both are measured — GPT-3.5 Turbo (Jan 2024) on 4. The remaining 5 of 9 tracked benchmarks cannot be compared: 1 has a result for only one of the two models, 4 for neither. Nothing on this page is estimated to fill those in.

Head-to-head

Measured on 4 of 9 tracked benchmarks for both models — GPT-3.5 Turbo (Jan 2024) leads on 4.

Benchmark	GPT-3.5 Turbo (Jan 2024)	Llama 2-70B (Chat)	Leads
Epoch Capabilities Index (ECI)	115.6	113.7	GPT-3.5 Turbo (Jan 2024)
SWE-bench Verified	Not measured	Not measured	Not measured on both
GPQA Diamond	0.272	0.263 (hf)	GPT-3.5 Turbo (Jan 2024)
MATH Level 5	0.116	0.033 (hf)	GPT-3.5 Turbo (Jan 2024)
OTIS Mock AIME 2024-2025	0.022	0.000 (hf)	GPT-3.5 Turbo (Jan 2024)
FrontierMath	Not measured	Not measured	Not measured on both
FrontierMath Tier 4	Not measured	Not measured	Not measured on both
SimpleQA Verified	Not measured	Not measured	Not measured on both
Chess Puzzles	0.000	Not measured	Comparison unavailable — Llama 2-70B (Chat) has no published result

Benchmark results measure specific tasks and should not be treated as a universal measure of model quality. A model with no row here for a benchmark has not been measured on it — that is left blank, never estimated.

What remains uncertain

Llama 2-70B (Chat) has no published result on Chess Puzzles.
4 tracked benchmarks have no published result for either model.

A missing result means Xentir has not found one published by the source it cites, not that the model performs badly. See Data Sources.

Reference price

Per 1M tokens	GPT-3.5 Turbo (Jan 2024)	Llama 2-70B (Chat)
Output	$1.50	—

List price as published by the vendor. Xentir does not verify negotiated or enterprise rates, and price is not a measure of capability — see Data Sources.

Full profiles

GPT-3.5 Turbo (Jan 2024) → · Llama 2-70B (Chat) → · the full AI Model Rankings table