Noometry

Model comparison

Llama 3.1 Nemotron 70b Instruct vs MiniMax-M2

Llama 3.1 Nemotron 70b Instruct and MiniMax-M2 score almost the same on the Noometry Index (37.6 vs 37.4), so choose on price, context window or the category you care about most.

Last verified . 12 shared benchmarks.

Llama 3.1 Nemotron 70b Instruct NVIDIA

37.6

Rank #203 Confirmed

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 1 category and MiniMax-M2 in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Llama 3.1 Nemotron 70b Instruct leads 25.0 to 19.4.

Side by side

Llama 3.1 Nemotron 70b InstructMiniMax-M2
ProviderNVIDIAMiniMax
Noometry Index37.637.4
Released2024-12-182025-10-27
WeightsOpenOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.30
Output $ / M tokens—$1.20
Results tracked1421

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Category by category

Coding MiniMax-M2 leads

Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), MiniMax-M2: 39.3 (#159)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
LMArena Coding12721370
SWE-bench Verified (bash only)—61%
LMArena WebDev—1297
BigCodeBench Instruct38.7%—
BigCodeBench Complete48.2%—

Agentic & Tool Use Not comparable

Llama 3.1 Nemotron 70b Instruct: —, MiniMax-M2: 25.1 (#109)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
Terminal-Bench—30%
Vending-Bench 2—160.6

Reasoning Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), MiniMax-M2: 19.4 (#258)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
LMArena Hard Prompts12661357
Kagi LLM Benchmark—57.8%
NYT Connections (extended)—14.8%

Math MiniMax-M2 leads

Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), MiniMax-M2: 37.3 (#160)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
LMArena Math12711352

Knowledge MiniMax-M2 leads

Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), MiniMax-M2: 37.0 (#163)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
LMArena Expert12421337

Multilingual MiniMax-M2 leads

Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), MiniMax-M2: 45.3 (#171)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
LMArena Non-English12451313
LMArena Chinese12631366
LMArena Russian12271331
LMArena French—1335
LMArena German—1355
LMArena Spanish—1326

Instruction Following MiniMax-M2 leads

Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), MiniMax-M2: 70.2 (#166)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
LMArena Instruction Following12521328

Long Context MiniMax-M2 leads

Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), MiniMax-M2: 40.5 (#153)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
LMArena Longer Query12381331

Writing & Preference MiniMax-M2 leads

Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), MiniMax-M2: 53.0 (#162)

BenchmarkLlama 3.1 Nemotron 70b InstructMiniMax-M2
LMArena Text12831340
LMArena Creative Writing12691286
LMArena Multi-Turn12751361

Frequently asked questions

Is Llama 3.1 Nemotron 70b Instruct better than MiniMax-M2?

Llama 3.1 Nemotron 70b Instruct and MiniMax-M2 score almost the same on the Noometry Index (37.6 vs 37.4), so choose on price, context window or the category you care about most.

Is Llama 3.1 Nemotron 70b Instruct or MiniMax-M2 better for coding?

MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 35.9 in the Noometry coding category.

How many benchmarks do Llama 3.1 Nemotron 70b Instruct and MiniMax-M2 share?

12 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and MiniMax-M2 has 21.

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