Model comparison

Llama 3.2 3B vs Ministral 3B

Llama 3.2 3B is the stronger model overall, scoring 28.4 to 25.6 on the Noometry Index. Ministral 3B costs 3.0× less per token, which makes it the better buy when Llama 3.2 3B's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Llama 3.2 3B

Summary

The widest gap is in knowledge, where Llama 3.2 3B leads 29.1 to 10.4.
Ministral 3B is cheaper at $0.04 / $0.04 per million input/output tokens, against $0.05 / $0.33 for Llama 3.2 3B.
Llama 3.2 3B accepts more context: 131K tokens versus 128K.

Side by side

Llama 3.2 3B and Ministral 3B specifications
	Llama 3.2 3B	Ministral 3B
Provider	Meta	Mistral AI
Noometry Index	28.4	25.6
Released	2024-09-24	2024-10-01
Weights	Open	Open
Context window	131K	128K
Max output	118K	128K
Input $ / M tokens	$0.05	$0.04
Output $ / M tokens	$0.33	$0.04
Results tracked	18	6

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Category by category

Coding Not comparable

Llama 3.2 3B: 27.1 (#314), Ministral 3B: —

Coding benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
BigCodeBench Instruct	23.4%	—
LMArena Coding	1098	—
BigCodeBench Complete	28.3%	—

Agentic & Tool Use Not comparable

Llama 3.2 3B: 19.9 (#135), Ministral 3B: —

Agentic & Tool Use benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
Berkeley Function Calling Leaderboard	21.9%	—
BALROG	10.1%	—

Reasoning Llama 3.2 3B leads

Llama 3.2 3B: 20.1 (#225), Ministral 3B: 17.7 (#278)

Reasoning benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
LMArena Hard Prompts	1095	—
DTBench	—	51.7%
LMCA	—	5.5%
Epoch Capabilities Index	—	118.08

Math Llama 3.2 3B leads

Llama 3.2 3B: 29.9 (#213), Ministral 3B: 24.5 (#257)

Math benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
LMArena Math	1126	—
MATH Level 5	—	14.4%

Knowledge Llama 3.2 3B leads

Llama 3.2 3B: 29.1 (#232), Ministral 3B: 10.4 (#297)

Knowledge benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
GPQA Diamond	—	25.3%
Vectara Hallucination Rate	—	7.3%
LMArena Expert	1090	—

Multilingual Not comparable

Llama 3.2 3B: 26.4 (#276), Ministral 3B: —

Multilingual benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
LMArena Non-English	1019	—
LMArena Chinese	1017	—
LMArena German	1056	—
LMArena Russian	949	—

Instruction Following Not comparable

Llama 3.2 3B: 56.3 (#270), Ministral 3B: —

Instruction Following benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
LMArena Instruction Following	1089	—

Long Context Not comparable

Llama 3.2 3B: 33.4 (#256), Ministral 3B: —

Long Context benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
LMArena Longer Query	1101	—

Writing & Preference Not comparable

Llama 3.2 3B: 24.9 (#302), Ministral 3B: —

Writing & Preference benchmarks
Benchmark	Llama 3.2 3B	Ministral 3B
LMArena Text	1110	—
LMArena Creative Writing	1094	—
EQ-Bench Creative Writing	595	—
LMArena Multi-Turn	1105	—

Frequently asked questions

Is Llama 3.2 3B better than Ministral 3B?

Which is cheaper, Llama 3.2 3B or Ministral 3B?

Ministral 3B is cheaper. It lists at $0.04 per million input tokens and $0.04 per million output tokens; Llama 3.2 3B lists at $0.05 and $0.33.

Which has the bigger context window?

Llama 3.2 3B does, with 131K tokens against 128K.

How many benchmarks do Llama 3.2 3B and Ministral 3B share?

0 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Ministral 3B has 6.