Model comparison

GPT-5.3 Chat vs Magistral Medium

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 35.2 on the Noometry Index. Magistral Medium costs 1.8× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified October 10, 2026. 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Magistral Medium

Mistral AI

35.2

Rank #227 Confirmed

Summary

They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 8.6.
Magistral Medium is cheaper at $2 / $5 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
Magistral Medium accepts more context: 262K tokens versus 128K.
Magistral Medium has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 Chat and Magistral Medium specifications
	GPT-5.3 Chat	Magistral Medium
Provider	OpenAI	Mistral AI
Noometry Index	42.8	35.2
Released	2026-03-03	2025-03-17
Weights	Proprietary	Open
Context window	128K	262K
Max output	16K	16K
Input $ / M tokens	$1.75	$2
Output $ / M tokens	$14	$5
Results tracked	18	22

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), Magistral Medium: 39.1 (#161)

Coding benchmarks
Benchmark	GPT-5.3 Chat	Magistral Medium
LMArena Coding	1408	1319
SciCode	—	39.2%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Magistral Medium: 8.6 (#348)

Reasoning benchmarks
Benchmark	GPT-5.3 Chat	Magistral Medium
LMArena Hard Prompts	1399	1267
ARC-AGI-2	—	0%
Kagi LLM Benchmark	—	16.2%
ARC-AGI-1	—	6.1%
CritPt	—	0.3%

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#142), Magistral Medium: 35.1 (#189)

Math benchmarks
Benchmark	GPT-5.3 Chat	Magistral Medium
LMArena Math	1389	1250

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.8 (#140), Magistral Medium: 33.5 (#202)

Knowledge benchmarks
Benchmark	GPT-5.3 Chat	Magistral Medium
LMArena Expert	1397	1223

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.3 (#124), Magistral Medium: 39.6 (#224)

Multilingual benchmarks
Benchmark	GPT-5.3 Chat	Magistral Medium
LMArena Non-English	1382	1232
LMArena Chinese	1432	1227
LMArena French	1397	1267
LMArena German	1384	1248
LMArena Japanese	1352	1175
LMArena Korean	1346	1125
LMArena Russian	1400	1224
LMArena Spanish	1371	1271

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 72.8 (#129), Magistral Medium: 66.0 (#211)

Instruction Following benchmarks
Benchmark	GPT-5.3 Chat	Magistral Medium
LMArena Instruction Following	1378	1254

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#120), Magistral Medium: 39.3 (#183)

Long Context benchmarks
Benchmark	GPT-5.3 Chat	Magistral Medium
LMArena Longer Query	1396	1295

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Magistral Medium: 46.3 (#219)

Writing & Preference benchmarks
Benchmark	GPT-5.3 Chat	Magistral Medium
LMArena Text	1389	1255
LMArena Creative Writing	1355	1245
LMArena Multi-Turn	1412	1275
EQ-Bench Creative Writing	1690	—

Frequently asked questions

Is GPT-5.3 Chat better than Magistral Medium?

Which is cheaper, GPT-5.3 Chat or Magistral Medium?

Magistral Medium is cheaper. It lists at $2 per million input tokens and $5 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Magistral Medium better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 39.1 in the Noometry coding category.

Which has the bigger context window?

Magistral Medium does, with 262K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Magistral Medium share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Magistral Medium has 22.