Model comparison

Llama 4 Scout vs Olmo 3.1 32b Instruct

Olmo 3.1 32b Instruct is the stronger model overall, scoring 38.8 to 27.4 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 4 Scout scores higher in 0 categories and Olmo 3.1 32b Instruct in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Olmo 3.1 32b Instruct leads 38.9 to 19.9.

Side by side

Llama 4 Scout and Olmo 3.1 32b Instruct specifications
Llama 4 ScoutOlmo 3.1 32b Instruct
ProviderMetaAllen Institute for AI (Ai2)
Noometry Index27.438.8
Released2025-04-05—
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.30—
Results tracked4316

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Category by category

Coding Olmo 3.1 32b Instruct leads

Llama 4 Scout: 19.9 (#334), Olmo 3.1 32b Instruct: 38.9 (#154)

Coding benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Coding12861346
SWE-bench Verified (bash only)9.1%—
SciCode17%—
BigCodeBench Complete43.1%—

Agentic & Tool Use Not comparable

Llama 4 Scout: 24.4 (#109), Olmo 3.1 32b Instruct: —

Agentic & Tool Use benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
Berkeley Function Calling Leaderboard28.1%—

Reasoning Olmo 3.1 32b Instruct leads

Llama 4 Scout: 9.2 (#339), Olmo 3.1 32b Instruct: 25.4 (#131)

Reasoning benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Hard Prompts12661322
ARC-AGI-20%—
Kagi LLM Benchmark36.9%—
ARC-AGI-10.5%—
CritPt0%—
DTBench57.9%—
LMCA12%—
Epoch Capabilities Index129.64—
ForecastBench57.5—

Math Olmo 3.1 32b Instruct leads

Llama 4 Scout: 18.4 (#280), Olmo 3.1 32b Instruct: 33.6 (#169)

Math benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Math12861305
OTIS Mock AIME 2024-20257.8%—
Omni-MATH37.3%—
MATH Level 562.3%—
FrontierMath (Feb 2025 set)0%—

Knowledge Olmo 3.1 32b Instruct leads

Llama 4 Scout: 31.8 (#208), Olmo 3.1 32b Instruct: 35.4 (#175)

Knowledge benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Expert12361307
GPQA Diamond51.8%—
MMLU-Pro74.2%—
Vectara Hallucination Rate7.7%—
GPQA (HELM)50.7%—

Multimodal Not comparable

Llama 4 Scout: 31.6 (#98), Olmo 3.1 32b Instruct: —

Multimodal benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Vision1118—
SpatialViz-Bench34.2%—

Multilingual Olmo 3.1 32b Instruct leads

Llama 4 Scout: 41.3 (#207), Olmo 3.1 32b Instruct: 42.8 (#185)

Multilingual benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Non-English12531275
LMArena Chinese12561304
LMArena French12831328
LMArena German12741283
LMArena Korean12071206
LMArena Russian12631268
LMArena Spanish12771337
LMArena Japanese1209—

Instruction Following Olmo 3.1 32b Instruct leads

Llama 4 Scout: 66.0 (#212), Olmo 3.1 32b Instruct: 68.8 (#182)

Instruction Following benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Instruction Following12481298
IFEval81.8%—

Long Context Olmo 3.1 32b Instruct leads

Llama 4 Scout: 27.5 (#289), Olmo 3.1 32b Instruct: 39.9 (#161)

Long Context benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Longer Query12651312
Fiction.LiveBench36%—

Writing & Preference Olmo 3.1 32b Instruct leads

Llama 4 Scout: 37.1 (#256), Olmo 3.1 32b Instruct: 50.4 (#179)

Writing & Preference benchmarks
BenchmarkLlama 4 ScoutOlmo 3.1 32b Instruct
LMArena Text12791311
LMArena Creative Writing12491264
LMArena Multi-Turn12811309
EQ-Bench Creative Writing783—
WildBench78%—

Frequently asked questions

Is Llama 4 Scout better than Olmo 3.1 32b Instruct?

Olmo 3.1 32b Instruct is the stronger model overall, scoring 38.8 to 27.4 on the Noometry Index.

Is Llama 4 Scout or Olmo 3.1 32b Instruct better for coding?

Olmo 3.1 32b Instruct scores higher on coding benchmarks: 38.9 versus 19.9 in the Noometry coding category.

How many benchmarks do Llama 4 Scout and Olmo 3.1 32b Instruct share?

16 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Olmo 3.1 32b Instruct has 16.

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