Model comparison

Devstral Small 2505 vs Llama 3.2 3B

Devstral Small 2505 is the stronger model overall, scoring 34.3 to 28.9 on the Noometry Index.

Last verified . 0 shared benchmarks.

Devstral Small 2505 Mistral AI

34.3

Rank #233 Reported

Llama 3.2 3B Meta

28.9

Rank #321 Confirmed

Summary

  • The widest gap is in coding, where Devstral Small 2505 leads 38.9 to 27.6.
  • Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.10 / $0.30 for Devstral Small 2505.
  • Llama 3.2 3B accepts more context: 131K tokens versus 128K.

Side by side

Devstral Small 2505 and Llama 3.2 3B specifications
Devstral Small 2505Llama 3.2 3B
ProviderMistral AIMeta
Noometry Index34.328.9
Released2025-05-072024-09-24
WeightsOpenOpen
Context window128K131K
Max output128K118K
Input $ / M tokens$0.10$0.05
Output $ / M tokens$0.30$0.33
Results tracked418

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Category by category

Coding Devstral Small 2505 leads

Devstral Small 2505: 38.9 (#166), Llama 3.2 3B: 27.6 (#319)

Coding benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
SWE-bench Verified (bash only)56.4%—
SciCode28.8%—
BigCodeBench Instruct—23.4%
LMArena Coding—1098
BigCodeBench Complete—28.3%

Agentic & Tool Use Not comparable

Devstral Small 2505: —, Llama 3.2 3B: 20.1 (#143)

Agentic & Tool Use benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
Berkeley Function Calling Leaderboard—21.9%
BALROG—10.1%

Reasoning Llama 3.2 3B leads

Devstral Small 2505: 19.7 (#252), Llama 3.2 3B: 21.0 (#228)

Reasoning benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
Kagi LLM Benchmark37.7%—
CritPt0%—
LMArena Hard Prompts—1095

Math Not comparable

Devstral Small 2505: —, Llama 3.2 3B: 32.4 (#214)

Math benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
LMArena Math—1126

Knowledge Not comparable

Devstral Small 2505: —, Llama 3.2 3B: 29.7 (#235)

Knowledge benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
LMArena Expert—1090

Multilingual Not comparable

Devstral Small 2505: —, Llama 3.2 3B: 26.2 (#281)

Multilingual benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
LMArena Non-English—1019
LMArena Chinese—1017
LMArena German—1056
LMArena Russian—949

Instruction Following Not comparable

Devstral Small 2505: —, Llama 3.2 3B: 56.0 (#275)

Instruction Following benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
LMArena Instruction Following—1089

Long Context Not comparable

Devstral Small 2505: —, Llama 3.2 3B: 33.4 (#261)

Long Context benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
LMArena Longer Query—1100

Writing & Preference Not comparable

Devstral Small 2505: —, Llama 3.2 3B: 24.7 (#307)

Writing & Preference benchmarks
BenchmarkDevstral Small 2505Llama 3.2 3B
LMArena Text—1110
LMArena Creative Writing—1094
EQ-Bench Creative Writing—595
LMArena Multi-Turn—1105

Frequently asked questions

Is Devstral Small 2505 better than Llama 3.2 3B?

Devstral Small 2505 is the stronger model overall, scoring 34.3 to 28.9 on the Noometry Index.

Which is cheaper, Devstral Small 2505 or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Devstral Small 2505 lists at $0.10 and $0.30.

Is Devstral Small 2505 or Llama 3.2 3B better for coding?

Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

Llama 3.2 3B does, with 131K tokens against 128K.

How many benchmarks do Devstral Small 2505 and Llama 3.2 3B share?

0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Llama 3.2 3B has 18.

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