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Gemma 3 4B vs Llama 3.2 3B Instruct

Llama 3.2 3B Instruct leads Gemma 3 4B on the Artificial Analysis Intelligence Index, 5.7 to 4.8, and Gemma 3 4B costs 4.4x less per output token ($0.075 vs $0.3325 per million). Updated October 21, 2026; 32 benchmarks have a result for both.

Replace Gemma 3 4B Replace Llama 3.2 3B Instruct
Gemma 3 4BGoogle
Coding
No data
Overall
4.8
Output $/M
$0.075
29
Llama 3.2 3B InstructMeta Llama
Coding
No data
Overall
5.7
Output $/M
$0.3325
2
vs boards won of 32 shared, 1 tied

Gemma 3 4B 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 Gemma 3 4B for output tokens 4.4x cheaper ($0.075 vs $0.3325 per million) and work measured by AA Intelligence Index or τ²-Bench Telecom, where it leads.

Model AGemma 3 4BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 3.2 3B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
32
Gemma 3 4B only
7
Llama 3.2 3B Instruct only
2
Like-for-like categories
7 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
Gemma 3 4B not benchmarked, Llama 3.2 3B Instruct not benchmarked.
Widest category
Knowledge, 30.9 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Russian: Gemma 3 4B 1294 against Llama 3.2 3B Instruct 949, 49.0 points apart on a 0 to 100 scale.
Output price
Gemma 3 4B $0.075 against Llama 3.2 3B Instruct $0.3325 per million output tokens, 4.4x apart.
Context window
Both take 131K tokens.

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
CategoryGemma 3 4BBarsLlama 3.2 3B InstructTies
Coding30
Intelligence01
Agentic work01
Reasoning401 tie
Math40
Knowledge50
General130
All shared boards2921 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 3.2 3B InstructLeader
AA Coding Index2.7Not measuredOnly Gemma 3 4B measured
LiveCodeBench (Artificial Analysis run)11.2%8.3%Gemma 3 4B
Terminal-Bench Hard (Artificial Analysis run)0.8%Not measuredOnly Gemma 3 4B measured
LMArena Text: coding12301098Gemma 3 4B
LMArena Text: software and IT12691103Gemma 3 4B
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 3.2 3B InstructLeader
AA Intelligence Index4.85.7Llama 3.2 3B Instruct
Epoch Capabilities Index115.9Not measuredOnly Gemma 3 4B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 3.2 3B InstructLeader
τ²-Bench Telecom5.0%21.1%Llama 3.2 3B Instruct
BALROGNot measured10.1%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 index40
Reasoning benchmarks for Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 3.2 3B InstructLeader
GPQA Diamond (Artificial Analysis run)29.1%25.5%Gemma 3 4B
Humanity's Last Exam (Artificial Analysis run)5.3%5.3%Tie
GPQA Diamond (Epoch AI run)23.2%Not measuredOnly Gemma 3 4B measured
LMArena Text: hard prompts12531095Gemma 3 4B
LMArena Text: expert12231090Gemma 3 4B
LMArena Text: hard prompts in English12531141Gemma 3 4B
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 3.2 3B InstructLeader
AA Math Index12.73.3Gemma 3 4B
AIME 2025 (Artificial Analysis run)12.7%3.3%Gemma 3 4B
OTIS Mock AIME7.5%Not measuredOnly Gemma 3 4B measured
LMArena Text: math12391126Gemma 3 4B
LMArena Text: mathematical work12561128Gemma 3 4B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 3.2 3B InstructLeader
MMLU Pro (Artificial Analysis run)41.7%34.7%Gemma 3 4B
LMArena Text: science13061106Gemma 3 4B
LMArena Text: medicine and healthcare13421104Gemma 3 4B
LMArena Text: legal and government13271115Gemma 3 4B
LMArena Text: business and finance13111074Gemma 3 4B
Neither model has a result on the other 12 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 3.2 3B InstructLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index130
General benchmarks for Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 3.2 3B InstructLeader
IFBench28.3%26.2%Gemma 3 4B
Long context reasoning (AA-LCR)6.7%4.3%Gemma 3 4B
DTBench50.9%Not measuredOnly Gemma 3 4B measured
LMCA2.8%Not measuredOnly Gemma 3 4B measured
LMArena Text12911110Gemma 3 4B
LMArena Text: instruction following12391089Gemma 3 4B
LMArena Text: creative writing12701094Gemma 3 4B
LMArena Text: English13001180Gemma 3 4B
LMArena Text: non-English12731019Gemma 3 4B
LMArena Text: ChineseNot measured1017Only Llama 3.2 3B Instruct measured
LMArena Text: German12811056Gemma 3 4B
LMArena Text: Russian1294949Gemma 3 4B
LMArena Text: multi-turn12551105Gemma 3 4B
LMArena Text: longer queries12731100Gemma 3 4B
LMArena Text: writing and language12881096Gemma 3 4B
LMArena Text: entertainment and media12331083Gemma 3 4B
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 Gemma 3 4B and Llama 3.2 3B Instruct
BenchmarkGemma 3 4BLlama 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

Gemma 3 4B$0.0001Fits in one request
Llama 3.2 3B Instruct$0.0002Fits in one request

Gemma 3 4B costs less

Repository review

50K input + 3K output tokens

Gemma 3 4B$0.0025Fits in one request
Llama 3.2 3B Instruct$0.0035Fits in one request

Gemma 3 4B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 4B$0.0097Exceeds the context window
Llama 3.2 3B Instruct$0.013Exceeds the context window

Gemma 3 4B 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 Gemma 3 4B and Llama 3.2 3B Instruct
SpecificationGoogle Gemma 3 4BMeta Llama 3.2 3B Instruct
MakerGoogleMeta Llama
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025September 25, 2024
Context window131K131K
Input $/Mtok$0.045$0.0505
Output $/Mtok$0.075$0.3325
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 4B 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 Gemma 3 4B for output tokens 4.4x cheaper ($0.075 vs $0.3325 per million) and work measured by AA Intelligence Index or τ²-Bench Telecom, where it leads.

Which is cheaper, Gemma 3 4B or Llama 3.2 3B Instruct?

Gemma 3 4B costs $0.045 per million input tokens and $0.075 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, Gemma 3 4B or Llama 3.2 3B Instruct?

Neither: both take 131K tokens.

How many benchmarks is the Gemma 3 4B vs Llama 3.2 3B Instruct comparison based on?

32 benchmarks have a result for both models as of October 21, 2026. Gemma 3 4B'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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