Model comparison

Llama 3.1 Nemotron Ultra 253b v1 vs Mistral Large 3

Mistral Large 3 is the stronger model overall, scoring 39.1 to 36.7 on the Noometry Index.

Last verified . 10 shared benchmarks.

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Llama 3.1 Nemotron Ultra 253b v1 scores higher in 2 categories and Mistral Large 3 in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Llama 3.1 Nemotron Ultra 253b v1 leads 26.3 to 15.2.

Side by side

Llama 3.1 Nemotron Ultra 253b v1 and Mistral Large 3 specifications
Llama 3.1 Nemotron Ultra 253b v1Mistral Large 3
ProviderNVIDIAMistral AI
Noometry Index36.739.1
Released—2025-12-02
WeightsOpenOpen
Context window—262K
Max output—8K
Input $ / M tokens—$0.25
Output $ / M tokens—$0.75
Results tracked1124

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Category by category

Coding Llama 3.1 Nemotron Ultra 253b v1 leads

Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177), Mistral Large 3: 34.4 (#237)

Coding benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
LMArena Coding13121448
LMArena WebDev—1230

Agentic & Tool Use Not comparable

Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149), Mistral Large 3: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
Berkeley Function Calling Leaderboard10%—

Reasoning Llama 3.1 Nemotron Ultra 253b v1 leads

Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134), Mistral Large 3: 15.2 (#319)

Reasoning benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
LMArena Hard Prompts13161429
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
Thematic Generalization—23%

Math Mistral Large 3 leads

Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152), Mistral Large 3: 38.7 (#129)

Math benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
LMArena Math13601414

Knowledge Not comparable

Llama 3.1 Nemotron Ultra 253b v1: —, Mistral Large 3: 36.0 (#177)

Knowledge benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
Vectara Hallucination Rate—14.5%
LMArena Expert—1421

Multimodal Not comparable

Llama 3.1 Nemotron Ultra 253b v1: —, Mistral Large 3: 38.2 (#66)

Multimodal benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
LMArena Vision—1221

Multilingual Mistral Large 3 leads

Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187), Mistral Large 3: 52.5 (#84)

Multilingual benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
LMArena Non-English12821413
LMArena Russian12841411
LMArena Chinese—1447
LMArena French—1455
LMArena German—1437
LMArena Japanese—1394
LMArena Korean—1384
LMArena Spanish—1440

Instruction Following Mistral Large 3 leads

Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178), Mistral Large 3: 74.0 (#108)

Instruction Following benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
LMArena Instruction Following13081403

Long Context Mistral Large 3 leads

Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177), Mistral Large 3: 43.1 (#105)

Long Context benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
LMArena Longer Query12991413

Writing & Preference Mistral Large 3 leads

Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175), Mistral Large 3: 60.0 (#101)

Writing & Preference benchmarks
BenchmarkLlama 3.1 Nemotron Ultra 253b v1Mistral Large 3
LMArena Text13201428
LMArena Creative Writing13141386
LMArena Multi-Turn13171429
EQ-Bench Creative Writing—1412

Frequently asked questions

Is Llama 3.1 Nemotron Ultra 253b v1 better than Mistral Large 3?

Mistral Large 3 is the stronger model overall, scoring 39.1 to 36.7 on the Noometry Index.

Is Llama 3.1 Nemotron Ultra 253b v1 or Mistral Large 3 better for coding?

Llama 3.1 Nemotron Ultra 253b v1 scores higher on coding benchmarks: 38.4 versus 34.4 in the Noometry coding category.

How many benchmarks do Llama 3.1 Nemotron Ultra 253b v1 and Mistral Large 3 share?

10 benchmarks have published results for both models. Llama 3.1 Nemotron Ultra 253b v1 has 11 scored results on Noometry and Mistral Large 3 has 24.

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