Noometry

Model comparison

Gemini 2.5 Pro vs Llama 3.1-8B

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 23.0 on the Noometry Index. Llama 3.1-8B costs 60× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 34 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

Llama 3.1-8B Meta

23.0

Rank #352 Confirmed

Summary

  • They share 34 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 9 categories and Llama 3.1-8B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 8.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 1.7% for Llama 3.1-8B.
  • Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro accepts more context: 1.05M tokens versus 128K.
  • Llama 3.1-8B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 ProLlama 3.1-8B
ProviderGoogleMeta
Noometry Index45.023.0
Released2025-03-252024-07-23
WeightsProprietaryOpen
Context window1.05M128K
Max output66K4K
Input $ / M tokens$1.25$0.05
Output $ / M tokens$10$0.08
Results tracked7843

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), Llama 3.1-8B: 20.2 (#340)

BenchmarkGemini 2.5 ProLlama 3.1-8B
SciCode42.8%13.2%
WeirdML54%1.7%
LMArena Coding14521195
SWE-bench Verified57.6%—
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
GSO3.9%—
BigCodeBench Instruct—32.8%
LiveBench Coding85.9%—
BigCodeBench Complete—40.5%
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—
HumanEval+—62.8%
MBPP+—55.6%

Agentic & Tool Use Gemini 2.5 Pro leads

Gemini 2.5 Pro: 29.2 (#88), Llama 3.1-8B: 22.5 (#131)

BenchmarkGemini 2.5 ProLlama 3.1-8B
BALROG43.3%15.1%
Terminal-Bench32.6%—
Berkeley Function Calling Leaderboard—25.8%
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
LMArena Search1142—
METR Time Horizons55.4%—
Vending-Bench 2573.64—

Reasoning Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#99), Llama 3.1-8B: 14.9 (#321)

BenchmarkGemini 2.5 ProLlama 3.1-8B
CritPt2%0%
Chess Puzzles20%0%
LMArena Hard Prompts14551175
DTBench82.4%50.9%
LMCA34.8%5.4%
Epoch Capabilities Index145.32116.57
ARC-AGI-24.9%—
SimpleBench62.4%—
Kagi LLM Benchmark70.3%—
ARC-AGI-141%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
LiveBench Data Analysis79.9%—
ForecastBench61.3—
LiveBench82.3%—
PIQA—81.2%

Math Gemini 2.5 Pro leads

Gemini 2.5 Pro: 32.5 (#213), Llama 3.1-8B: 10.2 (#317)

BenchmarkGemini 2.5 ProLlama 3.1-8B
OTIS Mock AIME 2024-202584.7%1.7%
Omni-MATH41.6%13.7%
LMArena Math14501179
MATH Level 595.9%22.9%
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
LiveBench Math90.2%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—
GSM8K—82.4%

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), Llama 3.1-8B: 8.0 (#307)

BenchmarkGemini 2.5 ProLlama 3.1-8B
GPQA Diamond85.3%27%
MMLU-Pro86.3%40.6%
GPQA (HELM)74.9%24.7%
LMArena Expert14521144
Humanity's Last Exam21.6%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
BoolQ—82.8%
MMLU—56.1%

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), Llama 3.1-8B: —

BenchmarkGemini 2.5 ProLlama 3.1-8B
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), Llama 3.1-8B: 34.0 (#249)

BenchmarkGemini 2.5 ProLlama 3.1-8B
LMArena Non-English14511148
LMArena Chinese15071151
LMArena French14721177
LMArena German14871144
LMArena Japanese14611061
LMArena Korean14341053
LMArena Russian14611158
LMArena Spanish14731169

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), Llama 3.1-8B: 58.9 (#258)

BenchmarkGemini 2.5 ProLlama 3.1-8B
IFEval84%74.3%
LMArena Instruction Following14371159
LiveBench Instruction Following80.6%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), Llama 3.1-8B: 35.8 (#238)

BenchmarkGemini 2.5 ProLlama 3.1-8B
LMArena Longer Query14491182
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), Llama 3.1-8B: 29.7 (#290)

BenchmarkGemini 2.5 ProLlama 3.1-8B
LMArena Text14581187
LMArena Creative Writing14541154
EQ-Bench Creative Writing1421713
WildBench85.7%68.7%
LMArena Multi-Turn14531172
Short-Story Creative Writing83.8%—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Llama 3.1-8B?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 23.0 on the Noometry Index. Llama 3.1-8B costs 60× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Pro or Llama 3.1-8B?

Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Llama 3.1-8B better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 20.2 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 2.5 Pro and Llama 3.1-8B share?

34 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Llama 3.1-8B has 43.

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