Noometry

Model comparison

Gemini 2.5 Flash-Lite vs Llama 3.1-70B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 29.4 on the Noometry Index.

Last verified . 26 shared benchmarks.

Gemini 2.5 Flash-Lite Google

36.4

Rank #208 Confirmed

Llama 3.1-70B Meta

29.4

Rank #299 Confirmed

Summary

  • They share 26 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Llama 3.1-70B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 2.5 Flash-Lite leads 35.5 to 12.7.
  • The biggest single-benchmark swing is Omni-MATH: 48% for Gemini 2.5 Flash-Lite and 21% for Llama 3.1-70B.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 128K.
  • Llama 3.1-70B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-LiteLlama 3.1-70B
ProviderGoogleMeta
Noometry Index36.429.4
Released2025-06-172024-07-23
WeightsProprietaryOpen
Context window1.05M128K
Max output66K4K
Input $ / M tokens$0.10$0.40
Output $ / M tokens$0.40$0.40
Results tracked3335

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

Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.0 (#167), Llama 3.1-70B: 29.8 (#292)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
WeirdML35.2%9%
LMArena Coding13731260
BigCodeBench Instruct—46.1%
BigCodeBench Complete—54.8%
ALE-Bench325.9—

Agentic & Tool Use Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 27.8 (#89), Llama 3.1-70B: 24.9 (#104)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
Berkeley Function Calling Leaderboard36.9%—
TheAgentCompany—6.9%
BALROG—27.9%

Reasoning Too close to call

Gemini 2.5 Flash-Lite: 21.5 (#196), Llama 3.1-70B: 20.8 (#215)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
LMArena Hard Prompts13771241
DTBench62.8%60%
LMCA18.1%14.8%
Epoch Capabilities Index133.93125.91
Kagi LLM Benchmark40.5%—

Math Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 35.5 (#144), Llama 3.1-70B: 12.7 (#298)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
Omni-MATH48%21%
LMArena Math13731252
OTIS Mock AIME 2024-2025—3.6%
MATH Level 5—36.7%

Knowledge Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 32.1 (#206), Llama 3.1-70B: 24.1 (#264)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
MMLU-Pro53.7%65.3%
GPQA (HELM)30.9%42.6%
LMArena Expert13731209
GPQA Diamond—44.2%
Vectara Hallucination Rate3.3%—
MMLU—80.1%

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 28.6 (#109), Llama 3.1-70B: —

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
LMArena Vision1198—
VPCT30%—

Multilingual Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 49.5 (#129), Llama 3.1-70B: 38.9 (#220)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
LMArena Non-English13691219
LMArena Chinese14041215
LMArena French13881260
LMArena German13901222
LMArena Japanese13591132
LMArena Korean13581140
LMArena Russian13731234
LMArena Spanish13961253

Instruction Following Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 70.2 (#163), Llama 3.1-70B: 65.5 (#218)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
IFEval81%82.1%
LMArena Instruction Following13661231

Long Context Llama 3.1-70B leads

Gemini 2.5 Flash-Lite: 33.3 (#257), Llama 3.1-70B: 37.6 (#208)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
LMArena Longer Query13731241
Fiction.LiveBench47.2%—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 57.0 (#130), Llama 3.1-70B: 35.6 (#262)

BenchmarkGemini 2.5 Flash-LiteLlama 3.1-70B
LMArena Text13791261
LMArena Creative Writing13661232
WildBench81.8%75.8%
LMArena Multi-Turn13671256
EQ-Bench Creative Writing—784

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Llama 3.1-70B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 29.4 on the Noometry Index.

Which is cheaper, Gemini 2.5 Flash-Lite or Llama 3.1-70B?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.

Is Gemini 2.5 Flash-Lite or Llama 3.1-70B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 29.8 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 2.5 Flash-Lite and Llama 3.1-70B share?

26 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Llama 3.1-70B has 35.

Related comparisons

Go deeper