Model comparison

Llama 2-70B vs MiniMax-M2.5

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 24.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

Llama 2-70B Meta

24.4

Rank #349 Confirmed

MiniMax-M2.5 MiniMax

38.3

Rank #188 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and MiniMax-M2.5 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiniMax-M2.5 leads 39.2 to 7.4.

Side by side

Llama 2-70B and MiniMax-M2.5 specifications
Llama 2-70BMiniMax-M2.5
ProviderMetaMiniMax
Noometry Index24.438.3
Released2023-07-182026-02-12
WeightsOpenOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.30
Output $ / M tokens—$1.20
Results tracked3533

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Category by category

Coding MiniMax-M2.5 leads

Llama 2-70B: 31.4 (#286), MiniMax-M2.5: 48.1 (#58)

Coding benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
LMArena Coding10791381
SWE-bench Verified (bash only)—75.8%
LMArena WebDev—1387
SWE-bench Multilingual—68.3%
ALE-Bench—618.17

Agentic & Tool Use Not comparable

Llama 2-70B: —, MiniMax-M2.5: 30.4 (#77)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
Terminal-Bench—42.7%
Vending-Bench 2—-23.16

Reasoning MiniMax-M2.5 leads

Llama 2-70B: 14.4 (#325), MiniMax-M2.5: 17.5 (#292)

Reasoning benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
LMArena Hard Prompts10731372
Epoch Capabilities Index113.79146.68
ARC-AGI-2—4.9%
Kagi LLM Benchmark—55.2%
NYT Connections (extended)—16.8%
ARC-AGI-1—63.7%
DTBench41.6%—
BIG-Bench Hard64.9%—
CommonsenseQA 2.050%—
ForecastBench51.4—
HellaSwag85.3%—
LAMBADA78.9%—
PIQA82.8%—
WinoGrande80.2%—

Math MiniMax-M2.5 leads

Llama 2-70B: 8.1 (#326), MiniMax-M2.5: 26.9 (#253)

Math benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
LMArena Math10911378
OTIS Mock AIME 2024-20250%—
ProofBench—4%
MATH Level 53.3%—
GSM8K69.6%—

Knowledge MiniMax-M2.5 leads

Llama 2-70B: 7.4 (#310), MiniMax-M2.5: 39.2 (#135)

Knowledge benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
LMArena Expert10391379
GPQA Diamond26.3%—
Vectara Hallucination Rate—9.1%
ARC (AI2) Challenge78.3%—
BoolQ88.6%—
MMLU69.9%—
OpenBookQA60.2%—
TriviaQA87.6%—

Multilingual MiniMax-M2.5 leads

Llama 2-70B: 27.7 (#274), MiniMax-M2.5: 47.1 (#152)

Multilingual benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
LMArena Non-English10451338
LMArena Chinese9951393
LMArena French10901362
LMArena German10411362
LMArena Japanese9271171
LMArena Korean9641232
LMArena Russian10831358
LMArena Spanish11431354

Instruction Following MiniMax-M2.5 leads

Llama 2-70B: 54.9 (#278), MiniMax-M2.5: 71.5 (#148)

Instruction Following benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
LMArena Instruction Following10711353

Long Context MiniMax-M2.5 leads

Llama 2-70B: 32.3 (#270), MiniMax-M2.5: 37.5 (#216)

Long Context benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
LMArena Longer Query10621366
CL-bench—11.4%
CL-bench Life—6.3%

Writing & Preference MiniMax-M2.5 leads

Llama 2-70B: 32.3 (#279), MiniMax-M2.5: 53.9 (#153)

Writing & Preference benchmarks
BenchmarkLlama 2-70BMiniMax-M2.5
LMArena Text11151359
LMArena Creative Writing10751331
LMArena Multi-Turn10881364
EQ-Bench Creative Writing—1361

Frequently asked questions

Is Llama 2-70B better than MiniMax-M2.5?

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 24.4 on the Noometry Index.

Is Llama 2-70B or MiniMax-M2.5 better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 31.4 in the Noometry coding category.

How many benchmarks do Llama 2-70B and MiniMax-M2.5 share?

18 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and MiniMax-M2.5 has 33.

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