Model comparison

Llama2 70b Steerlm Chat vs Mistral Medium

Mistral Medium is the stronger model overall, scoring 36.3 to 31.8 on the Noometry Index.

Last verified . 9 shared benchmarks.

Llama2 70b Steerlm Chat NVIDIA

31.8

Rank #268 Confirmed

Mistral Medium Mistral AI

36.3

Rank #218 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 1 category and Mistral Medium in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 31.6.

Side by side

Llama2 70b Steerlm Chat and Mistral Medium specifications
Llama2 70b Steerlm ChatMistral Medium
ProviderNVIDIAMistral AI
Noometry Index31.836.3
Released—2023-12-11
WeightsOpenOpen
Context window—262K
Max output—262K
Input $ / M tokens—$1.50
Output $ / M tokens—$7.50
Results tracked936

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Category by category

Coding Mistral Medium leads

Llama2 70b Steerlm Chat: 29.9 (#300), Mistral Medium: 34.2 (#243)

Coding benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
LMArena Coding10251434
FrontierCode—8%
SciCode—40.2%
WeirdML—43.7%
ALE-Bench—763.98

Agentic & Tool Use Not comparable

Llama2 70b Steerlm Chat: —, Mistral Medium: 28.3 (#90)

Agentic & Tool Use benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
Berkeley Function Calling Leaderboard—37.7%

Reasoning Mistral Medium leads

Llama2 70b Steerlm Chat: 20.0 (#246), Mistral Medium: 24.0 (#167)

Reasoning benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
LMArena Hard Prompts10471426
Kagi LLM Benchmark—50%
CritPt—0%
DTBench—75.5%
LMCA—26.1%
Surface Evolver Bench—26.9%

Math Llama2 70b Steerlm Chat leads

Llama2 70b Steerlm Chat: 31.3 (#226), Mistral Medium: 28.1 (#245)

Math benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
LMArena Math10721408
OTIS Mock AIME 2024-2025—32.2%
ProofBench—9%
MATH Level 5—81.6%
FrontierMath (Feb 2025 set)—0.3%

Knowledge Not comparable

Llama2 70b Steerlm Chat: —, Mistral Medium: 25.0 (#265)

Knowledge benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
GPQA Diamond—59.5%
Humanity's Last Exam—4.5%
Vectara Hallucination Rate—22.7%
LMArena Expert—1408

Multimodal Not comparable

Llama2 70b Steerlm Chat: —, Mistral Medium: 35.3 (#88)

Multimodal benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
LMArena Vision—1172

Multilingual Mistral Medium leads

Llama2 70b Steerlm Chat: 28.8 (#270), Mistral Medium: 52.1 (#91)

Multilingual benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
LMArena Non-English10631408
LMArena Chinese—1447
LMArena French—1459
LMArena German—1432
LMArena Japanese—1378
LMArena Korean—1380
LMArena Russian—1411
LMArena Spanish—1433

Instruction Following Mistral Medium leads

Llama2 70b Steerlm Chat: 54.2 (#279), Mistral Medium: 73.7 (#116)

Instruction Following benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
LMArena Instruction Following10601398

Long Context Mistral Medium leads

Llama2 70b Steerlm Chat: 30.4 (#288), Mistral Medium: 42.9 (#114)

Long Context benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
LMArena Longer Query9981406

Writing & Preference Mistral Medium leads

Llama2 70b Steerlm Chat: 31.6 (#283), Mistral Medium: 60.0 (#103)

Writing & Preference benchmarks
BenchmarkLlama2 70b Steerlm ChatMistral Medium
LMArena Text10981424
LMArena Creative Writing10911391
LMArena Multi-Turn10581418
Short-Story Creative Writing—77.3%

Frequently asked questions

Is Llama2 70b Steerlm Chat better than Mistral Medium?

Mistral Medium is the stronger model overall, scoring 36.3 to 31.8 on the Noometry Index.

Is Llama2 70b Steerlm Chat or Mistral Medium better for coding?

Mistral Medium scores higher on coding benchmarks: 34.2 versus 29.9 in the Noometry coding category.

How many benchmarks do Llama2 70b Steerlm Chat and Mistral Medium share?

9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Mistral Medium has 36.

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