Model comparison

Gemini 3.7 Flash vs Llama 3.2 1B

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 19.9 on the Noometry Index. Llama 3.2 1B costs 21× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #11 Confirmed

Llama 3.2 1B Meta

19.9

Rank #349 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and Llama 3.2 1B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 3.7 Flash leads 69.8 to 7.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 Flash and 0.6% for Llama 3.2 1B.
  • Llama 3.2 1B is cheaper at $0.027 / $0.20 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 60K.
  • Llama 3.2 1B has downloadable open weights; the other is API-only.

Side by side

Gemini 3.7 Flash and Llama 3.2 1B specifications
Gemini 3.7 FlashLlama 3.2 1B
ProviderGoogleMeta
Noometry Index59.819.9
Released2026-08-132024-09-24
WeightsProprietaryOpen
Context window1.05M60K
Max output66K54K
Input $ / M tokens$0.75$0.027
Output $ / M tokens$3.75$0.20
Results tracked4422

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 55.7 (#19), Llama 3.2 1B: 20.6 (#333)

Coding benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
LMArena Coding14991071
DeepSWE65.5%—
FrontierCode43.6%—
LMArena WebDev1593—
FrontierSWE20.3%—
SciCode59.8%—
BigCodeBench Instruct—8.2%
BigCodeBench Complete—11.3%
ALE-Bench904.3—

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.2 (#18), Llama 3.2 1B: 14.5 (#142)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
APEX-Agents67.8%—
Berkeley Function Calling Leaderboard—10.8%
Remote Labor Index5%—
BALROG—6.6%
GDP.pdf23.8%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.1 (#12), Llama 3.2 1B: 15.6 (#304)

Reasoning benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
Chess Puzzles47%0%
LMArena Hard Prompts14971044
Epoch Capabilities Index157.72101.95
ARC-AGI-284.6%—
NYT Connections (extended)94%—
ARC-AGI-195.5%—
CritPt14.3%—
Mystery Game Puzzles37%—
DTBench96.8%—
LMCA50.4%—

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.5 (#18), Llama 3.2 1B: 9.7 (#308)

Math benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
OTIS Mock AIME 2024-202597.2%0.6%
LMArena Math15111086
FrontierMath (Tiers 1-3)71.6%—
FrontierMath Tier 436.6%—
ProofBench58%—

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.8 (#4), Llama 3.2 1B: 7.2 (#307)

Knowledge benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
GPQA Diamond94.8%23.9%
LMArena Expert15081007
SimpleQA Verified69.2%—

Multimodal Not comparable

Gemini 3.7 Flash: 36.9 (#69), Llama 3.2 1B: —

Multimodal benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
LMArena Vision1314—
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.8 (#7), Llama 3.2 1B: 23.9 (#287)

Multilingual benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
LMArena Non-English1485973
LMArena Chinese1553958
LMArena German14851014
LMArena Russian1519941
LMArena French1512—
LMArena Japanese1506—
LMArena Korean1486—
LMArena Spanish1507—

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 78.0 (#12), Llama 3.2 1B: 52.6 (#285)

Instruction Following benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
LMArena Instruction Following14861031

Long Context Gemini 3.7 Flash leads

Gemini 3.7 Flash: 45.8 (#28), Llama 3.2 1B: 31.9 (#269)

Long Context benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
LMArena Longer Query14931050

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.4 (#19), Llama 3.2 1B: 21.4 (#305)

Writing & Preference benchmarks
BenchmarkGemini 3.7 FlashLlama 3.2 1B
LMArena Text14871055
LMArena Creative Writing14901033
EQ-Bench Creative Writing1723200
LMArena Multi-Turn14951030

Frequently asked questions

Is Gemini 3.7 Flash better than Llama 3.2 1B?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 19.9 on the Noometry Index. Llama 3.2 1B costs 21× 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 3.2 1B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

Is Gemini 3.7 Flash or Llama 3.2 1B better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 20.6 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 60K.

How many benchmarks do Gemini 3.7 Flash and Llama 3.2 1B share?

18 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Llama 3.2 1B has 22.

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