Model comparison

DeepSeek LLM 67B vs Mistral Small

Mistral Small is the stronger model overall, scoring 33.1 to 24.8 on the Noometry Index.

Last verified . 13 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.8

Rank #341 Confirmed

Mistral Small Mistral AI

33.1

Rank #238 Confirmed

Summary

  • They share 13 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Mistral Small in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Mistral Small leads 30.9 to 7.1.
  • The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 46.8% for Mistral Small.

Side by side

DeepSeek LLM 67B and Mistral Small specifications
DeepSeek LLM 67BMistral Small
ProviderDeepSeekMistral AI
Noometry Index24.833.1
Released2023-11-292024-02-26
WeightsOpenOpen
Context window—256K
Max output—256K
Input $ / M tokens—$0.15
Output $ / M tokens—$0.60
Results tracked1539

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Mistral Small leads

DeepSeek LLM 67B: 31.3 (#273), Mistral Small: 33.5 (#242)

Coding benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
LMArena Coding10961363
SciCode—26.5%
BigCodeBench Instruct—36.1%
LiveBench Coding—36.2%
BigCodeBench Complete—46.6%
ALE-Bench—497.62

Agentic & Tool Use Not comparable

DeepSeek LLM 67B: —, Mistral Small: 27.9 (#87)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
Berkeley Function Calling Leaderboard—37.1%

Reasoning Mistral Small leads

DeepSeek LLM 67B: 15.9 (#300), Mistral Small: 19.3 (#238)

Reasoning benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
LMArena Hard Prompts10701336
Kagi LLM Benchmark—37.8%
CritPt—0%
Chess Puzzles0%—
LiveBench Reasoning—44.8%
DTBench—70.9%
LiveBench Data Analysis—53.7%
LMCA—20.6%
Epoch Capabilities Index110.54—
LiveBench—44%

Math Mistral Small leads

DeepSeek LLM 67B: 8.1 (#318), Mistral Small: 15.4 (#287)

Math benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
OTIS Mock AIME 2024-20250.8%5.8%
LMArena Math11081341
MATH Level 56.4%46.8%
LiveBench Math—39.9%

Knowledge Mistral Small leads

DeepSeek LLM 67B: 7.1 (#308), Mistral Small: 30.9 (#214)

Knowledge benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
GPQA Diamond24.6%47.5%
Vectara Hallucination Rate—5.1%
LMArena Expert—1293
MMLU—68.7%

Multimodal Not comparable

DeepSeek LLM 67B: —, Mistral Small: 32.9 (#91)

Multimodal benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
LMArena Vision—1142

Multilingual Mistral Small leads

DeepSeek LLM 67B: 29.5 (#262), Mistral Small: 45.7 (#164)

Multilingual benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
LMArena Non-English10731315
LMArena Chinese11321342
LMArena French—1337
LMArena German—1341
LMArena Japanese—1275
LMArena Korean—1260
LMArena Russian—1324
LMArena Spanish—1346

Instruction Following Mistral Small leads

DeepSeek LLM 67B: 55.7 (#272), Mistral Small: 66.6 (#204)

Instruction Following benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
LMArena Instruction Following10791310
LiveBench Instruction Following—63.7%

Long Context Mistral Small leads

DeepSeek LLM 67B: 33.1 (#260), Mistral Small: 40.4 (#151)

Long Context benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
LMArena Longer Query10921327

Writing & Preference Mistral Small leads

DeepSeek LLM 67B: 31.8 (#277), Mistral Small: 52.6 (#165)

Writing & Preference benchmarks
BenchmarkDeepSeek LLM 67BMistral Small
LMArena Text11051338
LMArena Creative Writing10671304
LMArena Multi-Turn10821344
LiveBench Language—30.5%

Frequently asked questions

Is DeepSeek LLM 67B better than Mistral Small?

Mistral Small is the stronger model overall, scoring 33.1 to 24.8 on the Noometry Index.

Is DeepSeek LLM 67B or Mistral Small better for coding?

Mistral Small scores higher on coding benchmarks: 33.5 versus 31.3 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and Mistral Small share?

13 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Mistral Small has 39.

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