LIVE INTELLIGENCE · part of the Xentir AI Index

GPT-3.5 Turbo (Nov 2023) vs Mixtral 8x7B (Instruct v0.1)

Name: GPT-3.5 Turbo (Nov 2023) vs Mixtral 8x7B (Instruct v0.1) — benchmark results
Creator: Epoch AI
License: https://creativecommons.org/licenses/by/4.0/

GPT-3.5 Turbo (Nov 2023) · OpenAI, released 2023-11-06
Mixtral 8x7B (Instruct v0.1) OPEN WEIGHTS · Mistral AI, released 2023-12-11

“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 2026-09-09 · Methodology · Data Sources

GPT-3.5 Turbo (Nov 2023) leads on more of the 3 benchmarks where both are measured — GPT-3.5 Turbo (Nov 2023) on 2, Mixtral 8x7B (Instruct v0.1) on 1. The remaining 6 of 9 tracked benchmarks cannot be compared: 0 have a result for only one of the two models, 6 for neither. Nothing on this page is estimated to fill those in.

Head-to-head

Measured on 3 of 9 tracked benchmarks for both models — GPT-3.5 Turbo (Nov 2023) leads on 2, Mixtral 8x7B (Instruct v0.1) leads on 1.

Benchmark	GPT-3.5 Turbo (Nov 2023)	Mixtral 8x7B (Instruct v0.1)	Leads
Epoch Capabilities Index (ECI)	118.5	118.4	GPT-3.5 Turbo (Nov 2023)
SWE-bench Verified	Not measured	Not measured	Not measured on both
GPQA Diamond	0.280	0.306	Mixtral 8x7B (Instruct v0.1)
MATH Level 5	0.159	0.093	GPT-3.5 Turbo (Nov 2023)
OTIS Mock AIME 2024-2025	Not measured	Not measured	Not measured on both
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	Not measured	Not measured	Not measured on both

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

6 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 (Nov 2023)	Mixtral 8x7B (Instruct v0.1)
Output	$2.00	—

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 (Nov 2023) → · Mixtral 8x7B (Instruct v0.1) → · the full AI Model Rankings table