Model comparison

GPT-3.5-turbo vs Mixtral 8x7B

Mixtral 8x7B is the stronger model overall, scoring 27.1 to 23.2 on the Noometry Index.

Last verified October 10, 2026. 31 shared benchmarks.

GPT-3.5-turbo OpenAI

23.2

Rank #350 Confirmed

Mixtral 8x7B

Mistral AI

27.1

Rank #334 Confirmed

Summary

They share 31 benchmarks with published results for both. GPT-3.5-turbo scores higher in 3 categories and Mixtral 8x7B in 5 categories; 6 gaps are clear of the uncertainty.
The widest gap is in math, where Mixtral 8x7B leads 18.8 to 6.3.
The biggest single-benchmark swing is MATH Level 5: 15.9% for GPT-3.5-turbo and 10% for Mixtral 8x7B.
Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.50 / $1.50 for GPT-3.5-turbo.
Mixtral 8x7B accepts more context: 32K tokens versus 16K.
Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

GPT-3.5-turbo and Mixtral 8x7B specifications
	GPT-3.5-turbo	Mixtral 8x7B
Provider	OpenAI	Mistral AI
Noometry Index	23.2	27.1
Released	2023-03-01	2023-12-11
Weights	Proprietary	Open
Context window	16K	32K
Max output	4K	32K
Input $ / M tokens	$0.50	$0.70
Output $ / M tokens	$1.50	$0.70
Results tracked	44	38

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Category by category

Coding Mixtral 8x7B leads

GPT-3.5-turbo: 23.9 (#331), Mixtral 8x7B: 32.8 (#269)

Coding benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
LMArena Coding	1136	1126
HumanEval+	70.7%	39.6%
MBPP+	69.7%	49.7%
WeirdML	3.5%	—
BigCodeBench Instruct	39.1%	—
BigCodeBench Complete	50.6%	—

Agentic & Tool Use Not comparable

GPT-3.5-turbo: —, Mixtral 8x7B: —

Agentic & Tool Use benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
METR Time Horizons	21.5%	—

Reasoning Mixtral 8x7B leads

GPT-3.5-turbo: 13.8 (#332), Mixtral 8x7B: 18.2 (#285)

Reasoning benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
LMArena Hard Prompts	1108	1115
DTBench	48.5%	49.6%
Adversarial NLI	58.1%	55.2%
Epoch Capabilities Index	118.55	118.47
ForecastBench	50.4	56.3
WinoGrande	81.6%	77.2%
Chess Puzzles	0%	—
Mystery Game Puzzles	3%	—
LMCA	9.7%	—
BIG-Bench Hard	61.6%	—
CommonsenseQA 2.0	57%	—
HellaSwag	—	86.7%
PIQA	—	83.6%

Math Mixtral 8x7B leads

GPT-3.5-turbo: 6.3 (#327), Mixtral 8x7B: 18.8 (#289)

Math benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
LMArena Math	1142	1147
MATH Level 5	15.9%	10%
GSM8K	57.8%	74.4%
FrontierMath (Tiers 1-3)	0%	—
OTIS Mock AIME 2024-2025	2.2%	—
Omni-MATH	—	10.5%

Knowledge Too close to call

GPT-3.5-turbo: 10.0 (#303), Mixtral 8x7B: 11.0 (#301)

Knowledge benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
GPQA Diamond	28%	30.6%
LMArena Expert	1070	1088
ARC (AI2) Challenge	87.4%	87.3%
MMLU	71.4%	70.6%
OpenBookQA	86%	85.8%
TriviaQA	85.8%	82.2%
MMLU-Pro	—	33.5%
GPQA (HELM)	—	29.6%
BoolQ	87%	—

Multilingual GPT-3.5-turbo leads

GPT-3.5-turbo: 31.5 (#258), Mixtral 8x7B: 29.6 (#266)

Multilingual benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
LMArena Non-English	1108	1077
LMArena Chinese	1075	1055
LMArena French	1118	1166
LMArena German	1090	1114
LMArena Japanese	1043	931
LMArena Korean	1019	968
LMArena Russian	1123	1090
LMArena Spanish	1121	1111

Instruction Following GPT-3.5-turbo leads

GPT-3.5-turbo: 57.9 (#262), Mixtral 8x7B: 51.0 (#297)

Instruction Following benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
LMArena Instruction Following	1119	1109
IFEval	—	57.5%

Long Context Too close to call

GPT-3.5-turbo: 34.0 (#254), Mixtral 8x7B: 33.4 (#260)

Long Context benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
LMArena Longer Query	1121	1103

Writing & Preference Mixtral 8x7B leads

GPT-3.5-turbo: 25.3 (#305), Mixtral 8x7B: 34.2 (#270)

Writing & Preference benchmarks
Benchmark	GPT-3.5-turbo	Mixtral 8x7B
LMArena Text	1125	1132
LMArena Creative Writing	1092	1109
LMArena Multi-Turn	1117	1115
EQ-Bench Creative Writing	451	—
WildBench	—	67.3%

Frequently asked questions

Is GPT-3.5-turbo better than Mixtral 8x7B?

Mixtral 8x7B is the stronger model overall, scoring 27.1 to 23.2 on the Noometry Index.

Which is cheaper, GPT-3.5-turbo or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; GPT-3.5-turbo lists at $0.50 and $1.50.

Is GPT-3.5-turbo or Mixtral 8x7B better for coding?

Mixtral 8x7B scores higher on coding benchmarks: 32.8 versus 23.9 in the Noometry coding category.

Which has the bigger context window?

Mixtral 8x7B does, with 32K tokens against 16K.

How many benchmarks do GPT-3.5-turbo and Mixtral 8x7B share?

31 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Mixtral 8x7B has 38.