Model comparison

Llama 2-7B vs Mistral Large

Mistral Large is the stronger model overall, scoring 31.9 to 29.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

Llama 2-7B Meta

29.1

Rank #317 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 1 category and Mistral Large in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Mistral Large leads 67.9 to 50.8.

Side by side

Llama 2-7B and Mistral Large specifications
Llama 2-7BMistral Large
ProviderMetaMistral AI
Noometry Index29.131.9
Released2023-07-182024-02-26
WeightsOpenOpen
Context window—131K
Max output—16K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked2951

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Category by category

Coding Mistral Large leads

Llama 2-7B: 29.2 (#307), Mistral Large: 34.3 (#240)

Coding benchmarks
BenchmarkLlama 2-7BMistral Large
LMArena Coding10021277
SciCode—36.2%
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
ALE-Bench—264.7
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Not comparable

Llama 2-7B: —, Mistral Large: 28.6 (#89)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-7BMistral Large
Berkeley Function Calling Leaderboard—38.4%

Reasoning Too close to call

Llama 2-7B: 15.7 (#312), Mistral Large: 15.8 (#310)

Reasoning benchmarks
BenchmarkLlama 2-7BMistral Large
LMArena Hard Prompts10091257
Epoch Capabilities Index99.06128.52
SimpleBench—22.5%
CritPt—0%
Chess Puzzles0%—
LiveBench Reasoning—43.5%
DTBench—65.1%
LiveBench Data Analysis—50.1%
LMCA—16.7%
BIG-Bench Hard39.2%—
ForecastBench—57.1
HellaSwag77.2%—
LAMBADA73.3%—
LiveBench—48.4%
PIQA78.8%—
WinoGrande69.2%—

Math Llama 2-7B leads

Llama 2-7B: 30.7 (#233), Mistral Large: 18.2 (#291)

Math benchmarks
BenchmarkLlama 2-7BMistral Large
LMArena Math10421262
OTIS Mock AIME 2024-2025—8.5%
Omni-MATH—28.1%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath (Feb 2025 set)—0.3%
GSM8K16.7%—

Knowledge Mistral Large leads

Llama 2-7B: 28.2 (#248), Mistral Large: 30.1 (#230)

Knowledge benchmarks
BenchmarkLlama 2-7BMistral Large
LMArena Expert10361232
MMLU45.8%80%
GPQA Diamond—51.3%
MMLU-Pro—59.9%
Confabulations—21.4%
Vectara Hallucination Rate—4.5%
GPQA (HELM)—43.5%
ARC (AI2) Challenge45.9%—
BoolQ77.9%—
OpenBookQA58.6%—
TriviaQA73.7%—

Multimodal Not comparable

Llama 2-7B: —, Mistral Large: —

Multimodal benchmarks
BenchmarkLlama 2-7BMistral Large
ScienceQA43.1%—

Multilingual Mistral Large leads

Llama 2-7B: 23.8 (#293), Mistral Large: 40.0 (#219)

Multilingual benchmarks
BenchmarkLlama 2-7BMistral Large
LMArena Non-English9731237
LMArena Chinese9731240
LMArena French9701325
LMArena German9781254
LMArena Russian9951257
LMArena Spanish10071268
LMArena Japanese—1188
LMArena Korean—1202

Instruction Following Mistral Large leads

Llama 2-7B: 50.8 (#298), Mistral Large: 67.9 (#191)

Instruction Following benchmarks
BenchmarkLlama 2-7BMistral Large
LMArena Instruction Following10061249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Mistral Large leads

Llama 2-7B: 30.4 (#287), Mistral Large: 38.3 (#199)

Long Context benchmarks
BenchmarkLlama 2-7BMistral Large
LMArena Longer Query9991261

Writing & Preference Mistral Large leads

Llama 2-7B: 28.0 (#298), Mistral Large: 40.7 (#242)

Writing & Preference benchmarks
BenchmarkLlama 2-7BMistral Large
LMArena Text10531266
LMArena Creative Writing10331243
LMArena Multi-Turn10291260
Short-Story Creative Writing—69%
EQ-Bench Creative Writing—985
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is Llama 2-7B better than Mistral Large?

Mistral Large is the stronger model overall, scoring 31.9 to 29.1 on the Noometry Index.

Is Llama 2-7B or Mistral Large better for coding?

Mistral Large scores higher on coding benchmarks: 34.3 versus 29.2 in the Noometry coding category.

How many benchmarks do Llama 2-7B and Mistral Large share?

17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mistral Large has 51.

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