Model comparison

GPT-5-Codex vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.9 on the Noometry Index.

Last verified October 11, 2026. 0 shared benchmarks.

GPT-5-Codex OpenAI

37.9

Rank #192 Reported

Mistral Large 4

Mistral AI

43.1

Rank #99 Confirmed

Summary

The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 22.5.
Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
Mistral Large 4 accepts more context: 1.05M tokens versus 400K.

Side by side

GPT-5-Codex and Mistral Large 4 specifications
	GPT-5-Codex	Mistral Large 4
Provider	OpenAI	Mistral AI
Noometry Index	37.9	43.1
Released	2025-09-15	2026-10-06
Weights	Proprietary	Proprietary
Context window	400K	1.05M
Max output	128K	262K
Input $ / M tokens	$1.25	$0.68
Output $ / M tokens	$10	$2.09
Results tracked	3	15

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Category by category

Coding Mistral Large 4 leads

GPT-5-Codex: 42.4 (#103), Mistral Large 4: 48.6 (#57)

Coding benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
LMArena WebDev	—	1541
WeirdML	54.5%	—
LMArena Coding	—	1475

Agentic & Tool Use Not comparable

GPT-5-Codex: 31.0 (#72), Mistral Large 4: —

Agentic & Tool Use benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
Terminal-Bench	44.3%	—

Reasoning GPT-5-Codex leads

GPT-5-Codex: 30.9 (#83), Mistral Large 4: 22.5 (#192)

Reasoning benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
Kagi LLM Benchmark	70.3%	—
NYT Connections (extended)	—	27.4%
LMArena Hard Prompts	—	1444

Math Not comparable

GPT-5-Codex: —, Mistral Large 4: 40.4 (#91)

Math benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
LMArena Math	—	1488

Knowledge Not comparable

GPT-5-Codex: —, Mistral Large 4: 36.6 (#166)

Knowledge benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
SimpleQA Verified	—	20%
LMArena Expert	—	1447

Multilingual Not comparable

GPT-5-Codex: —, Mistral Large 4: 52.6 (#82)

Multilingual benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
LMArena Non-English	—	1415
LMArena Chinese	—	1491
LMArena Russian	—	1414

Instruction Following Not comparable

GPT-5-Codex: —, Mistral Large 4: 75.0 (#76)

Instruction Following benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
LMArena Instruction Following	—	1424

Long Context Not comparable

GPT-5-Codex: —, Mistral Large 4: 43.6 (#89)

Long Context benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
LMArena Longer Query	—	1429

Writing & Preference Not comparable

GPT-5-Codex: —, Mistral Large 4: 60.4 (#97)

Writing & Preference benchmarks
Benchmark	GPT-5-Codex	Mistral Large 4
LMArena Text	—	1427
LMArena Creative Writing	—	1361
LMArena Multi-Turn	—	1424

Frequently asked questions

Is GPT-5-Codex better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 37.9 on the Noometry Index.

Which is cheaper, GPT-5-Codex or Mistral Large 4?

Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

Is GPT-5-Codex or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 42.4 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 400K.

How many benchmarks do GPT-5-Codex and Mistral Large 4 share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Mistral Large 4 has 15.