Model comparison

Llama 13b vs Mistral Large

Mistral Large is the stronger model overall, scoring 31.6 to 23.9 on the Noometry Index.

Last verified October 10, 2026. 10 shared benchmarks.

Summary

They share 10 benchmarks with published results for both. Llama 13b scores higher in 1 category and Mistral Large in 5 categories; 6 gaps are clear of the uncertainty.
The widest gap is in instruction following, where Mistral Large leads 68.1 to 36.9.

Side by side

Llama 13b and Mistral Large specifications
	Llama 13b	Mistral Large
Provider	Meta	Mistral AI
Noometry Index	23.9	31.6
Released	2023-02-24	2024-02-26
Weights	Open	Open
Context window	—	131K
Max output	—	16K
Input $ / M tokens	—	$2
Output $ / M tokens	—	$6
Results tracked	21	51

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Category by category

Coding Mistral Large leads

Llama 13b: 20.9 (#332), Mistral Large: 33.8 (#240)

Coding benchmarks
Benchmark	Llama 13b	Mistral Large
LMArena Coding	683	1277
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 13b: —, Mistral Large: 28.4 (#83)

Agentic & Tool Use benchmarks
Benchmark	Llama 13b	Mistral Large
Berkeley Function Calling Leaderboard	—	38.4%

Reasoning Mistral Large leads

Llama 13b: 13.4 (#327), Mistral Large: 15.4 (#305)

Reasoning benchmarks
Benchmark	Llama 13b	Mistral Large
LMArena Hard Prompts	728	1257
Epoch Capabilities Index	100.09	128.52
SimpleBench	—	22.5%
CritPt	—	0%
LiveBench Reasoning	—	43.5%
DTBench	—	65.1%
LiveBench Data Analysis	—	50.1%
LMCA	—	16.7%
BIG-Bench Hard	37.9%	—
ForecastBench	—	57.1
HellaSwag	79.2%	—
LAMBADA	75.2%	—
LiveBench	—	48.4%
PIQA	80.1%	—
WinoGrande	73%	—

Math Llama 13b leads

Llama 13b: 24.4 (#259), Mistral Large: 17.1 (#285)

Math benchmarks
Benchmark	Llama 13b	Mistral Large
LMArena Math	838	1262
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%
GSM8K	20.6%	—

Knowledge Not comparable

Llama 13b: —, Mistral Large: 30.0 (#224)

Knowledge benchmarks
Benchmark	Llama 13b	Mistral Large
MMLU	47.7%	80%
GPQA Diamond	—	51.3%
MMLU-Pro	—	59.9%
Confabulations	—	21.4%
Vectara Hallucination Rate	—	4.5%
GPQA (HELM)	—	43.5%
LMArena Expert	—	1232
ARC (AI2) Challenge	52.7%	—
BoolQ	78.7%	—
OpenBookQA	56.4%	—
TriviaQA	77.9%	—

Multimodal Not comparable

Llama 13b: —, Mistral Large: —

Multimodal benchmarks
Benchmark	Llama 13b	Mistral Large
ScienceQA	43.3%	—

Multilingual Mistral Large leads

Llama 13b: 16.8 (#292), Mistral Large: 40.1 (#214)

Multilingual benchmarks
Benchmark	Llama 13b	Mistral Large
LMArena Non-English	819	1237
LMArena Chinese	—	1240
LMArena French	—	1324
LMArena German	—	1254
LMArena Japanese	—	1187
LMArena Korean	—	1202
LMArena Russian	—	1257
LMArena Spanish	—	1268

Instruction Following Mistral Large leads

Llama 13b: 36.9 (#300), Mistral Large: 68.1 (#186)

Instruction Following benchmarks
Benchmark	Llama 13b	Mistral Large
LMArena Instruction Following	781	1249
LiveBench Instruction Following	—	67.9%
IFEval	—	87.7%

Long Context Not comparable

Llama 13b: —, Mistral Large: 38.3 (#194)

Long Context benchmarks
Benchmark	Llama 13b	Mistral Large
LMArena Longer Query	—	1262

Writing & Preference Mistral Large leads

Llama 13b: 13.9 (#307), Mistral Large: 40.9 (#237)

Writing & Preference benchmarks
Benchmark	Llama 13b	Mistral Large
LMArena Text	834	1266
LMArena Creative Writing	794	1243
LMArena Multi-Turn	753	1260
Short-Story Creative Writing	—	69%
EQ-Bench Creative Writing	—	985
WildBench	—	80.1%
LiveBench Language	—	39.4%

Frequently asked questions

Is Llama 13b better than Mistral Large?