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Gemini 3.1 Flash Lite vs Llama 3.2 3B Instruct

Llama 3.2 3B Instruct costs 4.5x less per output token than Gemini 3.1 Flash Lite ($0.3325 vs $1.50 per million). Updated October 21, 2026; 5 benchmarks have a result for both.

Gemini 3.1 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$1.50
5
Llama 3.2 3B InstructMeta Llama
Coding
No data
Overall
No data
Output $/M
$0.3325
0
vs boards won of 5 shared

Gemini 3.1 Flash Lite or Llama 3.2 3B Instruct: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 3.1 Flash Lite for a larger context window (1.05M against 131K tokens).

Shared results
5
Gemini 3.1 Flash Lite only
11
Llama 3.2 3B Instruct only
30
Like-for-like categories
3 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.1 Flash Lite not benchmarked, Llama 3.2 3B Instruct not benchmarked.
Widest category
General, 60.5 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemini 3.1 Flash Lite 74.3% against Llama 3.2 3B Instruct 4.3%, 70.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Flash Lite $1.50 against Llama 3.2 3B Instruct $0.3325 per million output tokens, 4.5x apart.
Context window
Gemini 3.1 Flash Lite takes 1.05M tokens, Llama 3.2 3B Instruct 131K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 3.1 Flash LiteBarsLlama 3.2 3B InstructTies
Agentic work10
Reasoning20
General20
All shared boards50
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
Coding benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
LiveCodeBench (Artificial Analysis run)Not measured8.3%Only Llama 3.2 3B Instruct measured
SciCode43.4%Not measuredOnly Gemini 3.1 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)24.2%Not measuredOnly Gemini 3.1 Flash Lite measured
WeirdML52.2%Not measuredOnly Gemini 3.1 Flash Lite measured
LMArena Text: codingNot measured1098Only Llama 3.2 3B Instruct measured
LMArena Text: software and ITNot measured1103Only Llama 3.2 3B Instruct measured
Neither model has a result on the other 33 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
AA Intelligence IndexNot measured5.7Only Llama 3.2 3B Instruct measured
Epoch Capabilities Index144.3Not measuredOnly Gemini 3.1 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
τ²-Bench Telecom31.3%21.1%Gemini 3.1 Flash Lite
BALROGNot measured10.1%Only Llama 3.2 3B Instruct measured
DeepResearch Bench37.3%Not measuredOnly Gemini 3.1 Flash Lite measured
Berkeley Function Calling Leaderboard (BFCL)Not measured21.9%Only Llama 3.2 3B Instruct measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
GPQA Diamond (Artificial Analysis run)82.2%25.5%Gemini 3.1 Flash Lite
Humanity's Last Exam (Artificial Analysis run)17.2%5.3%Gemini 3.1 Flash Lite
GPQA Diamond (Epoch AI run)81.8%Not measuredOnly Gemini 3.1 Flash Lite measured
LMArena Text: hard promptsNot measured1095Only Llama 3.2 3B Instruct measured
LMArena Text: expertNot measured1090Only Llama 3.2 3B Instruct measured
LMArena Text: hard prompts in EnglishNot measured1141Only Llama 3.2 3B Instruct measured
Kagi LLM Benchmark67.2%Not measuredOnly Gemini 3.1 Flash Lite measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
AA Math IndexNot measured3.3Only Llama 3.2 3B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured3.3%Only Llama 3.2 3B Instruct measured
OTIS Mock AIME80.0%Not measuredOnly Gemini 3.1 Flash Lite measured
FrontierMath, tiers 1 to 327.7%Not measuredOnly Gemini 3.1 Flash Lite measured
LMArena Text: mathNot measured1126Only Llama 3.2 3B Instruct measured
LMArena Text: mathematical workNot measured1128Only Llama 3.2 3B Instruct measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
MMLU Pro (Artificial Analysis run)Not measured34.7%Only Llama 3.2 3B Instruct measured
LMArena Text: scienceNot measured1106Only Llama 3.2 3B Instruct measured
LMArena Text: medicine and healthcareNot measured1104Only Llama 3.2 3B Instruct measured
LMArena Text: legal and governmentNot measured1115Only Llama 3.2 3B Instruct measured
LMArena Text: business and financeNot measured1074Only Llama 3.2 3B Instruct measured
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
IFBench77.2%26.2%Gemini 3.1 Flash Lite
Long context reasoning (AA-LCR)74.3%4.3%Gemini 3.1 Flash Lite
DTBench76.8%Not measuredOnly Gemini 3.1 Flash Lite measured
LMCA35.0%Not measuredOnly Gemini 3.1 Flash Lite measured
LMArena TextNot measured1110Only Llama 3.2 3B Instruct measured
LMArena Text: instruction followingNot measured1089Only Llama 3.2 3B Instruct measured
LMArena Text: creative writingNot measured1094Only Llama 3.2 3B Instruct measured
LMArena Text: EnglishNot measured1180Only Llama 3.2 3B Instruct measured
LMArena Text: non-EnglishNot measured1019Only Llama 3.2 3B Instruct measured
LMArena Text: ChineseNot measured1017Only Llama 3.2 3B Instruct measured
LMArena Text: GermanNot measured1056Only Llama 3.2 3B Instruct measured
LMArena Text: RussianNot measured949Only Llama 3.2 3B Instruct measured
LMArena Text: multi-turnNot measured1105Only Llama 3.2 3B Instruct measured
LMArena Text: longer queriesNot measured1100Only Llama 3.2 3B Instruct measured
LMArena Text: writing and languageNot measured1096Only Llama 3.2 3B Instruct measured
LMArena Text: entertainment and mediaNot measured1083Only Llama 3.2 3B Instruct measured
Neither model has a result on the other 30 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
BenchmarkGemini 3.1 Flash LiteLlama 3.2 3B InstructLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.1 Flash Lite$0.0010Fits in one request
Llama 3.2 3B Instruct$0.0002Fits in one request

Llama 3.2 3B Instruct costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Flash Lite$0.017Fits in one request
Llama 3.2 3B Instruct$0.0035Fits in one request

Llama 3.2 3B Instruct costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Flash Lite$0.065Fits in one request
Llama 3.2 3B Instruct$0.013Exceeds the context window

Llama 3.2 3B Instruct costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.1 Flash Lite and Llama 3.2 3B Instruct
SpecificationGoogle Gemini 3.1 Flash LiteMeta Llama 3.2 3B Instruct
MakerGoogleMeta Llama
WeightsNo public weights listedOpen weights
ReleasedMay 7, 2026September 25, 2024
Context window1.05M131K
Input $/Mtok$0.25$0.0505
Output $/Mtok$1.50$0.3325
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Flash Lite better than Llama 3.2 3B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 3.1 Flash Lite for a larger context window (1.05M against 131K tokens).

Which is cheaper, Gemini 3.1 Flash Lite or Llama 3.2 3B Instruct?

Gemini 3.1 Flash Lite costs $0.25 per million input tokens and $1.50 per million output tokens; Llama 3.2 3B Instruct costs $0.0505 and $0.3325. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 3.1 Flash Lite or Llama 3.2 3B Instruct?

Gemini 3.1 Flash Lite, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 3.1 Flash Lite vs Llama 3.2 3B Instruct comparison based on?

5 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Flash Lite's coding index rests on 0 independent benchmarks and Llama 3.2 3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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