Model comparison

Llama 2-7B vs MiniMax-M2.5

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 29.1 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 2-7B Meta

29.1

Rank #317 Confirmed

MiniMax-M2.5 MiniMax

38.3

Rank #188 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 2-7B scores higher in 1 category and MiniMax-M2.5 in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiniMax-M2.5 leads 53.9 to 28.0.

Side by side

Llama 2-7B and MiniMax-M2.5 specifications
Llama 2-7BMiniMax-M2.5
ProviderMetaMiniMax
Noometry Index29.138.3
Released2023-07-182026-02-12
WeightsOpenOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.30
Output $ / M tokens—$1.20
Results tracked2933

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Category by category

Coding MiniMax-M2.5 leads

Llama 2-7B: 29.2 (#307), MiniMax-M2.5: 48.1 (#58)

Coding benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
LMArena Coding10021381
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 2-7B: —, MiniMax-M2.5: 30.4 (#77)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
Terminal-Bench—42.7%
Vending-Bench 2—-23.16

Reasoning MiniMax-M2.5 leads

Llama 2-7B: 15.7 (#312), MiniMax-M2.5: 17.5 (#292)

Reasoning benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
LMArena Hard Prompts10091372
Epoch Capabilities Index99.06146.68
ARC-AGI-2—4.9%
Kagi LLM Benchmark—55.2%
NYT Connections (extended)—16.8%
ARC-AGI-1—63.7%
Chess Puzzles0%—
BIG-Bench Hard39.2%—
HellaSwag77.2%—
LAMBADA73.3%—
PIQA78.8%—
WinoGrande69.2%—

Math Llama 2-7B leads

Llama 2-7B: 30.7 (#233), MiniMax-M2.5: 26.9 (#253)

Math benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
LMArena Math10421378
ProofBench—4%
GSM8K16.7%—

Knowledge MiniMax-M2.5 leads

Llama 2-7B: 28.2 (#248), MiniMax-M2.5: 39.2 (#135)

Knowledge benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
LMArena Expert10361379
Vectara Hallucination Rate—9.1%
ARC (AI2) Challenge45.9%—
BoolQ77.9%—
MMLU45.8%—
OpenBookQA58.6%—
TriviaQA73.7%—

Multimodal Not comparable

Llama 2-7B: —, MiniMax-M2.5: —

Multimodal benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
ScienceQA43.1%—

Multilingual MiniMax-M2.5 leads

Llama 2-7B: 23.8 (#293), MiniMax-M2.5: 47.1 (#152)

Multilingual benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
LMArena Non-English9731338
LMArena Chinese9731393
LMArena French9701362
LMArena German9781362
LMArena Russian9951358
LMArena Spanish10071354
LMArena Japanese—1171
LMArena Korean—1232

Instruction Following MiniMax-M2.5 leads

Llama 2-7B: 50.8 (#298), MiniMax-M2.5: 71.5 (#148)

Instruction Following benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
LMArena Instruction Following10061353

Long Context MiniMax-M2.5 leads

Llama 2-7B: 30.4 (#287), MiniMax-M2.5: 37.5 (#216)

Long Context benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
LMArena Longer Query9991366
CL-bench—11.4%
CL-bench Life—6.3%

Writing & Preference MiniMax-M2.5 leads

Llama 2-7B: 28.0 (#298), MiniMax-M2.5: 53.9 (#153)

Writing & Preference benchmarks
BenchmarkLlama 2-7BMiniMax-M2.5
LMArena Text10531359
LMArena Creative Writing10331331
LMArena Multi-Turn10291364
EQ-Bench Creative Writing—1361

Frequently asked questions

Is Llama 2-7B better than MiniMax-M2.5?

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 29.1 on the Noometry Index.

Is Llama 2-7B or MiniMax-M2.5 better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 29.2 in the Noometry coding category.

How many benchmarks do Llama 2-7B and MiniMax-M2.5 share?

16 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and MiniMax-M2.5 has 33.

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