Model comparison

Llama 3.2 1B vs Mistral Large 3

Mistral Large 3 is the stronger model overall, scoring 39.1 to 20.1 on the Noometry Index. Llama 3.2 1B costs 5.3× less per token, which makes it the better buy when Mistral Large 3's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

Llama 3.2 1B Meta

20.1

Rank #354 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Llama 3.2 1B scores higher in 1 category and Mistral Large 3 in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Mistral Large 3 leads 60.0 to 21.3.
  • Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
  • Mistral Large 3 accepts more context: 262K tokens versus 60K.

Side by side

Llama 3.2 1B and Mistral Large 3 specifications
Llama 3.2 1BMistral Large 3
ProviderMetaMistral AI
Noometry Index20.139.1
Released2024-09-242025-12-02
WeightsOpenOpen
Context window60K262K
Max output54K8K
Input $ / M tokens$0.027$0.25
Output $ / M tokens$0.20$0.75
Results tracked2224

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Category by category

Coding Mistral Large 3 leads

Llama 3.2 1B: 21.1 (#338), Mistral Large 3: 34.4 (#237)

Coding benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Coding10701448
LMArena WebDev—1230
BigCodeBench Instruct8.2%—
BigCodeBench Complete11.3%—

Agentic & Tool Use Not comparable

Llama 3.2 1B: 14.6 (#150), Mistral Large 3: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
Berkeley Function Calling Leaderboard10.8%—
BALROG6.6%—

Reasoning Llama 3.2 1B leads

Llama 3.2 1B: 16.2 (#308), Mistral Large 3: 15.2 (#319)

Reasoning benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Hard Prompts10441429
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
Chess Puzzles0%—
Thematic Generalization—23%
Epoch Capabilities Index101.99—

Math Mistral Large 3 leads

Llama 3.2 1B: 10.4 (#313), Mistral Large 3: 38.7 (#129)

Math benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Math10861414
OTIS Mock AIME 2024-20250.6%—

Knowledge Mistral Large 3 leads

Llama 3.2 1B: 7.2 (#312), Mistral Large 3: 36.0 (#177)

Knowledge benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Expert10071421
GPQA Diamond23.9%—
Vectara Hallucination Rate—14.5%

Multimodal Not comparable

Llama 3.2 1B: —, Mistral Large 3: 38.2 (#66)

Multimodal benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Vision—1221

Multilingual Mistral Large 3 leads

Llama 3.2 1B: 23.8 (#292), Mistral Large 3: 52.5 (#84)

Multilingual benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Non-English9731413
LMArena Chinese9591447
LMArena German10141437
LMArena Russian9411411
LMArena French—1455
LMArena Japanese—1394
LMArena Korean—1384
LMArena Spanish—1440

Instruction Following Mistral Large 3 leads

Llama 3.2 1B: 52.4 (#290), Mistral Large 3: 74.0 (#108)

Instruction Following benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Instruction Following10311403

Long Context Mistral Large 3 leads

Llama 3.2 1B: 31.9 (#274), Mistral Large 3: 43.1 (#105)

Long Context benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Longer Query10501413

Writing & Preference Mistral Large 3 leads

Llama 3.2 1B: 21.3 (#310), Mistral Large 3: 60.0 (#101)

Writing & Preference benchmarks
BenchmarkLlama 3.2 1BMistral Large 3
LMArena Text10551428
LMArena Creative Writing10331386
EQ-Bench Creative Writing2001412
LMArena Multi-Turn10301429

Frequently asked questions

Is Llama 3.2 1B better than Mistral Large 3?

Mistral Large 3 is the stronger model overall, scoring 39.1 to 20.1 on the Noometry Index. Llama 3.2 1B costs 5.3× less per token, which makes it the better buy when Mistral Large 3's lead doesn't matter for your workload.

Which is cheaper, Llama 3.2 1B or Mistral Large 3?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

Is Llama 3.2 1B or Mistral Large 3 better for coding?

Mistral Large 3 scores higher on coding benchmarks: 34.4 versus 21.1 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 60K.

How many benchmarks do Llama 3.2 1B and Mistral Large 3 share?

14 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Mistral Large 3 has 24.

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