Model comparison

Llama 2-7B vs MiniMax-M3

MiniMax-M3 is the stronger model overall, scoring 43.8 to 29.1 on the Noometry Index.

Last verified October 10, 2026. 17 shared benchmarks.

Summary

They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and MiniMax-M3 in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where MiniMax-M3 leads 62.1 to 28.0.
The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 14% for MiniMax-M3.

Side by side

Llama 2-7B and MiniMax-M3 specifications
	Llama 2-7B	MiniMax-M3
Provider	Meta	MiniMax
Noometry Index	29.1	43.8
Released	2023-07-18	2026-06-01
Weights	Open	Open
Context window	—	1M
Max output	—	512K
Input $ / M tokens	—	$0.30
Output $ / M tokens	—	$1.20
Results tracked	29	41

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Category by category

Coding MiniMax-M3 leads

Llama 2-7B: 29.2 (#307), MiniMax-M3: 41.8 (#118)

Coding benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
LMArena Coding	1002	1469
FrontierCode	—	14.7%
LMArena WebDev	—	1482
SciCode	—	47.1%
ALE-Bench	—	640.02

Agentic & Tool Use Not comparable

Llama 2-7B: —, MiniMax-M3: 22.6 (#130)

Agentic & Tool Use benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
APEX-Agents	—	37.7%
OSWorld 2.0	—	4.6%
GBAEval	—	0.9%
Vending-Bench 2	—	2,158

Reasoning MiniMax-M3 leads

Llama 2-7B: 15.7 (#312), MiniMax-M3: 30.1 (#87)

Reasoning benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
Chess Puzzles	0%	14%
LMArena Hard Prompts	1009	1447
Epoch Capabilities Index	99.06	146.95
SimpleBench	—	45.8%
NYT Connections (extended)	—	65.1%
CritPt	—	3.7%
Mystery Game Puzzles	—	8%
DTBench	—	78.9%
LMCA	—	33.7%
Surface Evolver Bench	—	55%
BIG-Bench Hard	39.2%	—
ForecastBench	—	61.4
HellaSwag	77.2%	—
LAMBADA	73.3%	—
PIQA	78.8%	—
WinoGrande	69.2%	—

Math MiniMax-M3 leads

Llama 2-7B: 30.7 (#233), MiniMax-M3: 40.0 (#95)

Math benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
LMArena Math	1042	1429
OTIS Mock AIME 2024-2025	—	71.1%
ProofBench	—	18%
GSM8K	16.7%	—

Knowledge MiniMax-M3 leads

Llama 2-7B: 28.2 (#248), MiniMax-M3: 58.4 (#35)

Knowledge benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
LMArena Expert	1036	1461
GPQA Diamond	—	90.9%
ARC (AI2) Challenge	45.9%	—
BoolQ	77.9%	—
MMLU	45.8%	—
OpenBookQA	58.6%	—
TriviaQA	73.7%	—

Multimodal Not comparable

Llama 2-7B: —, MiniMax-M3: 40.2 (#51)

Multimodal benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
LMArena Vision	—	1253
LMArena Document	—	1435
ScienceQA	43.1%	—

Multilingual MiniMax-M3 leads

Llama 2-7B: 23.8 (#293), MiniMax-M3: 53.0 (#75)

Multilingual benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
LMArena Non-English	973	1420
LMArena Chinese	973	1463
LMArena French	970	1447
LMArena German	978	1426
LMArena Russian	995	1428
LMArena Spanish	1007	1432
LMArena Japanese	—	1381
LMArena Korean	—	1372

Instruction Following MiniMax-M3 leads

Llama 2-7B: 50.8 (#298), MiniMax-M3: 75.5 (#62)

Instruction Following benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
LMArena Instruction Following	1006	1433

Long Context MiniMax-M3 leads

Llama 2-7B: 30.4 (#287), MiniMax-M3: 44.2 (#72)

Long Context benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
LMArena Longer Query	999	1445

Writing & Preference MiniMax-M3 leads

Llama 2-7B: 28.0 (#298), MiniMax-M3: 62.1 (#83)

Writing & Preference benchmarks
Benchmark	Llama 2-7B	MiniMax-M3
LMArena Text	1053	1433
LMArena Creative Writing	1033	1404
LMArena Multi-Turn	1029	1442
EQ-Bench 4	—	1150

Frequently asked questions

Is Llama 2-7B better than MiniMax-M3?