Model comparison

Gemini 3.7 Flash vs Llama 3.1-70B

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 29.4 on the Noometry Index. Llama 3.1-70B costs 3.8× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Last verified . 23 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #11 Confirmed

Llama 3.1-70B Meta

29.4

Rank #299 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and Llama 3.1-70B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 3.7 Flash leads 69.5 to 12.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 Flash and 3.6% for Llama 3.1-70B.
  • Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
  • Gemini 3.7 Flash 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 3.7 Flash and Llama 3.1-70B specifications
Gemini 3.7 FlashLlama 3.1-70B
ProviderGoogleMeta
Noometry Index59.829.4
Released2026-08-132024-07-23
WeightsProprietaryOpen
Context window1.05M128K
Max output66K4K
Input $ / M tokens$0.75$0.40
Output $ / M tokens$3.75$0.40
Results tracked4435

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 55.7 (#19), Llama 3.1-70B: 29.8 (#292)

Coding benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
LMArena Coding14991260
DeepSWE65.5%—
FrontierCode43.6%—
LMArena WebDev1593—
FrontierSWE20.3%—
SciCode59.8%—
WeirdML—9%
BigCodeBench Instruct—46.1%
BigCodeBench Complete—54.8%
ALE-Bench904.3—

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.2 (#18), Llama 3.1-70B: 24.9 (#104)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
APEX-Agents67.8%—
Remote Labor Index5%—
TheAgentCompany—6.9%
BALROG—27.9%
GDP.pdf23.8%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.1 (#12), Llama 3.1-70B: 20.8 (#215)

Reasoning benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
LMArena Hard Prompts14971241
DTBench96.8%60%
LMCA50.4%14.8%
Epoch Capabilities Index157.72125.91
ARC-AGI-284.6%—
NYT Connections (extended)94%—
ARC-AGI-195.5%—
CritPt14.3%—
Chess Puzzles47%—
Mystery Game Puzzles37%—

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.5 (#18), Llama 3.1-70B: 12.7 (#298)

Math benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
OTIS Mock AIME 2024-202597.2%3.6%
LMArena Math15111252
FrontierMath (Tiers 1-3)71.6%—
FrontierMath Tier 436.6%—
ProofBench58%—
Omni-MATH—21%
MATH Level 5—36.7%

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.8 (#4), Llama 3.1-70B: 24.1 (#264)

Knowledge benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
GPQA Diamond94.8%44.2%
LMArena Expert15081209
SimpleQA Verified69.2%—
MMLU-Pro—65.3%
GPQA (HELM)—42.6%
MMLU—80.1%

Multimodal Not comparable

Gemini 3.7 Flash: 36.9 (#69), Llama 3.1-70B: —

Multimodal benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
LMArena Vision1314—
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.8 (#7), Llama 3.1-70B: 38.9 (#220)

Multilingual benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
LMArena Non-English14851219
LMArena Chinese15531215
LMArena French15121260
LMArena German14851222
LMArena Japanese15061132
LMArena Korean14861140
LMArena Russian15191234
LMArena Spanish15071253

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 78.0 (#12), Llama 3.1-70B: 65.5 (#218)

Instruction Following benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
LMArena Instruction Following14861231
IFEval—82.1%

Long Context Gemini 3.7 Flash leads

Gemini 3.7 Flash: 45.8 (#28), Llama 3.1-70B: 37.6 (#208)

Long Context benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
LMArena Longer Query14931241

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.4 (#19), Llama 3.1-70B: 35.6 (#262)

Writing & Preference benchmarks
BenchmarkGemini 3.7 FlashLlama 3.1-70B
LMArena Text14871261
LMArena Creative Writing14901232
EQ-Bench Creative Writing1723784
LMArena Multi-Turn14951256
WildBench—75.8%

Frequently asked questions

Is Gemini 3.7 Flash better than Llama 3.1-70B?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 29.4 on the Noometry Index. Llama 3.1-70B costs 3.8× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.7 Flash or Llama 3.1-70B?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

Is Gemini 3.7 Flash or Llama 3.1-70B better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 29.8 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 3.7 Flash and Llama 3.1-70B share?

23 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Llama 3.1-70B has 35.

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