Model comparison

GPT-5.2 Codex vs Mixtral 8x22B

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 27.1 on the Noometry Index. Mixtral 8x22B costs 1.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

Last verified October 11, 2026. 0 shared benchmarks.

GPT-5.2 Codex OpenAI

42.6

Rank #111 Reported

Mixtral 8x22B

Mistral AI

27.1

Rank #333 Confirmed

Summary

The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 24.2.
Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
GPT-5.2 Codex accepts more context: 400K tokens versus 64K.
Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 Codex and Mixtral 8x22B specifications
	GPT-5.2 Codex	Mixtral 8x22B
Provider	OpenAI	Mistral AI
Noometry Index	42.6	27.1
Released	2025-12-18	2024-04-17
Weights	Proprietary	Open
Context window	400K	64K
Max output	128K	64K
Input $ / M tokens	$1.75	$2
Output $ / M tokens	$14	$6
Results tracked	5	34

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Category by category

Coding GPT-5.2 Codex leads

GPT-5.2 Codex: 45.5 (#71), Mixtral 8x22B: 24.2 (#329)

Coding benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
SWE-bench Verified (bash only)	72.8%	—
LMArena WebDev	1339	—
SWE-bench Multilingual	66.3%	—
WeirdML	—	3.2%
BigCodeBench Instruct	—	40.6%
LMArena Coding	—	1166
BigCodeBench Complete	—	50.2%
ALE-Bench	1,300	—
HumanEval+	—	72%
MBPP+	—	64.3%

Agentic & Tool Use GPT-5.2 Codex leads

GPT-5.2 Codex: 41.0 (#22), Mixtral 8x22B: 23.1 (#127)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
Terminal-Bench	66.5%	—
Cybench	—	7.5%

Reasoning Not comparable

GPT-5.2 Codex: —, Mixtral 8x22B: 19.9 (#248)

Reasoning benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
LMArena Hard Prompts	—	1150
DTBench	—	55.1%
Epoch Capabilities Index	—	122.03
ForecastBench	—	56.3

Math Not comparable

GPT-5.2 Codex: —, Mixtral 8x22B: 22.9 (#275)

Math benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
Omni-MATH	—	16.3%
LMArena Math	—	1184
MATH Level 5	—	24.2%

Knowledge Not comparable

GPT-5.2 Codex: —, Mixtral 8x22B: 15.1 (#293)

Knowledge benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
GPQA Diamond	—	34.1%
MMLU-Pro	—	46%
GPQA (HELM)	—	33.4%
LMArena Expert	—	1113
MMLU	—	77.8%

Multilingual Not comparable

GPT-5.2 Codex: —, Mixtral 8x22B: 32.8 (#255)

Multilingual benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
LMArena Non-English	—	1128
LMArena Chinese	—	1116
LMArena French	—	1166
LMArena German	—	1141
LMArena Japanese	—	1037
LMArena Korean	—	1057
LMArena Russian	—	1158
LMArena Spanish	—	1151

Instruction Following Not comparable

GPT-5.2 Codex: —, Mixtral 8x22B: 57.7 (#266)

Instruction Following benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
IFEval	—	72.4%
LMArena Instruction Following	—	1147

Long Context Not comparable

GPT-5.2 Codex: —, Mixtral 8x22B: 34.7 (#247)

Long Context benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
LMArena Longer Query	—	1144

Writing & Preference Not comparable

GPT-5.2 Codex: —, Mixtral 8x22B: 36.9 (#262)

Writing & Preference benchmarks
Benchmark	GPT-5.2 Codex	Mixtral 8x22B
LMArena Text	—	1162
LMArena Creative Writing	—	1141
WildBench	—	71.1%
LMArena Multi-Turn	—	1130

Frequently asked questions

Is GPT-5.2 Codex better than Mixtral 8x22B?

Which is cheaper, GPT-5.2 Codex or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is GPT-5.2 Codex or Mixtral 8x22B better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 64K.

How many benchmarks do GPT-5.2 Codex and Mixtral 8x22B share?

0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Mixtral 8x22B has 34.