Model comparison

GPT-5.6 Luna vs Mistral Small 3.2

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 3.4× less per token, which makes it the better buy when GPT-5.6 Luna's lead doesn't matter for your workload.

Last verified October 12, 2026. 6 shared benchmarks.

GPT-5.6 Luna OpenAI

54.6

Rank #30 Confirmed

Mistral Small 3.2

Mistral AI

31.2

Rank #280 Confirmed

Summary

They share 6 benchmarks with published results for both. GPT-5.6 Luna scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-5.6 Luna leads 77.7 to 26.3.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for GPT-5.6 Luna and 30.3% for Mistral Small 3.2.
Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.20 / $1.20 for GPT-5.6 Luna.
GPT-5.6 Luna accepts more context: 1.05M tokens versus 256K.
Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

GPT-5.6 Luna and Mistral Small 3.2 specifications
	GPT-5.6 Luna	Mistral Small 3.2
Provider	OpenAI	Mistral AI
Noometry Index	54.6	31.2
Released	2026-07-09	2025-06-20
Weights	Proprietary	Open
Context window	1.05M	256K
Max output	128K	16K
Input $ / M tokens	$0.20	$0.0938
Output $ / M tokens	$1.20	$0.25
Results tracked	52	6

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

GPT-5.6 Luna: 54.5 (#28), Mistral Small 3.2: —

Coding benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
DeepSWE	67.2%	—
FrontierCode	39.8%	—
CursorBench	35.9%	—
LMArena WebDev	1519	—
SciCode	53.6%	—
WeirdML	60.9%	—
LMArena Coding	1466	—
ALE-Bench	1,667	—

Agentic & Tool Use Not comparable

GPT-5.6 Luna: 34.4 (#45), Mistral Small 3.2: —

Agentic & Tool Use benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
APEX-Agents	43%	—
BALROG	45.6%	—
GDP.pdf	22.7%	—
Vending-Bench 2	4,095	—

Reasoning GPT-5.6 Luna leads

GPT-5.6 Luna: 47.6 (#43), Mistral Small 3.2: 18.1 (#287)

Reasoning benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
Kagi LLM Benchmark	49.1%	40.4%
Chess Puzzles	40%	1%
Epoch Capabilities Index	156.39	131.74
ARC-AGI-2	59.5%	—
SimpleBench	46.8%	—
NYT Connections (extended)	69.4%	—
ARC-AGI-1	88%	—
CritPt	20.6%	—
LMArena Hard Prompts	1451	—
Mystery Game Puzzles	21%	—
DTBench	89.1%	—
LMCA	48.5%	—
Surface Evolver Bench	61.9%	—

Math GPT-5.6 Luna leads

GPT-5.6 Luna: 77.7 (#14), Mistral Small 3.2: 26.3 (#260)

Math benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
OTIS Mock AIME 2024-2025	98.3%	30.3%
FrontierMath (Tiers 1-3)	82.1%	—
FrontierMath Tier 4	61%	—
ProofBench	60%	—
LMArena Math	1458	—

Knowledge GPT-5.6 Luna leads

GPT-5.6 Luna: 58.5 (#34), Mistral Small 3.2: 26.7 (#256)

Knowledge benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
GPQA Diamond	91.6%	49.1%
SimpleQA Verified	41%	—
LMArena Expert	1478	—

Multimodal Not comparable

GPT-5.6 Luna: 42.7 (#28), Mistral Small 3.2: —

Multimodal benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
LMArena Vision	1258	—
Blueprint-Bench 2	22.6%	—
Furniture Assembly	42.5%	—
LMArena Document	1457	—

Multilingual Not comparable

GPT-5.6 Luna: 52.8 (#78), Mistral Small 3.2: —

Multilingual benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
LMArena Non-English	1417	—
LMArena Chinese	1470	—
LMArena French	1456	—
LMArena German	1454	—
LMArena Japanese	1411	—
LMArena Korean	1415	—
LMArena Russian	1428	—
LMArena Spanish	1448	—

Instruction Following Not comparable

GPT-5.6 Luna: 75.6 (#57), Mistral Small 3.2: —

Instruction Following benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
LMArena Instruction Following	1437	—

Long Context Not comparable

GPT-5.6 Luna: 43.9 (#82), Mistral Small 3.2: —

Long Context benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
LMArena Longer Query	1436	—

Writing & Preference GPT-5.6 Luna leads

GPT-5.6 Luna: 68.0 (#29), Mistral Small 3.2: 45.0 (#224)

Writing & Preference benchmarks
Benchmark	GPT-5.6 Luna	Mistral Small 3.2
EQ-Bench Creative Writing	1829	1255
LMArena Text	1431	—
LMArena Creative Writing	1396	—
EQ-Bench 4	1156	—
LMArena Multi-Turn	1434	—

Frequently asked questions

Is GPT-5.6 Luna better than Mistral Small 3.2?

Which is cheaper, GPT-5.6 Luna or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GPT-5.6 Luna lists at $0.20 and $1.20.

Which has the bigger context window?

GPT-5.6 Luna does, with 1.05M tokens against 256K.

How many benchmarks do GPT-5.6 Luna and Mistral Small 3.2 share?

6 benchmarks have published results for both models. GPT-5.6 Luna has 52 scored results on Noometry and Mistral Small 3.2 has 6.