Enter opens the highlighted result. Esc closes.

Gemma 3 12B vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct leads Gemma 3 12B on the Artificial Analysis Intelligence Index, 7.7 to 3.8, and Gemma 3 12B costs 4.4x less per output token ($0.1625 vs $0.72 per million). Updated October 21, 2026; 40 benchmarks have a result for both.

Replace Gemma 3 12B Replace Llama 3.3 70B Instruct
Gemma 3 12BGoogle
Coding
No data
Overall
28.0
Output $/M
$0.1625
26
Llama 3.3 70B InstructMeta Llama
Coding
No data
Overall
26.0
Output $/M
$0.72
14
vs boards won of 40 shared

Gemma 3 12B or Llama 3.3 70B Instruct: which to pick

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

Pick Gemma 3 12B for output tokens 4.4x cheaper ($0.1625 vs $0.72 per million) and work measured by AA Coding Index or LiveCodeBench (Artificial Analysis run), where it leads.

Model AGemma 3 12BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 3.3 70B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
40
Gemma 3 12B only
3
Llama 3.3 70B Instruct only
12
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 12B not benchmarked, Llama 3.3 70B Instruct not benchmarked.
Widest category
Knowledge, 14.7 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: business and finance: Gemma 3 12B 1376 against Llama 3.3 70B Instruct 1243, 22.2 points apart on a 0 to 100 scale.
Output price
Gemma 3 12B $0.1625 against Llama 3.3 70B Instruct $0.72 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 12BBarsLlama 3.3 70B InstructTies
Coding23
Intelligence02
Agentic work02
Reasoning42
Math50
Knowledge41
General114
All shared boards2614
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
Coding benchmarks for Gemma 3 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B InstructLeader
AA Coding Index5.811.9Llama 3.3 70B Instruct
LiveCodeBench (Artificial Analysis run)13.7%28.8%Llama 3.3 70B Instruct
SciCode16.4%Not measuredOnly Gemma 3 12B measured
Terminal-Bench Hard (Artificial Analysis run)0.8%3.0%Llama 3.3 70B Instruct
WeirdMLNot measured14.4%Only Llama 3.3 70B Instruct measured
LMArena Text: coding12811268Gemma 3 12B
LMArena Text: software and IT13131273Gemma 3 12B
SciCode0.0%Not measuredOnly Gemma 3 12B measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B InstructLeader
AA Intelligence Index3.87.7Llama 3.3 70B Instruct
Epoch Capabilities Index123.5127.3Llama 3.3 70B Instruct
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 3 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B InstructLeader
AA Agentic Index0.1Not measuredOnly Gemma 3 12B measured
τ²-Bench Telecom10.8%26.6%Llama 3.3 70B Instruct
BALROGNot measured23.0%Only Llama 3.3 70B Instruct measured
Berkeley Function Calling Leaderboard (BFCL)30.4%31.9%Llama 3.3 70B Instruct
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
Reasoning benchmarks for Gemma 3 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B InstructLeader
GPQA Diamond (Artificial Analysis run)34.9%49.8%Llama 3.3 70B Instruct
Humanity's Last Exam (Artificial Analysis run)4.2%3.6%Gemma 3 12B
GPQA Diamond (Epoch AI run)39.5%47.4%Llama 3.3 70B Instruct
SimpleBenchNot measured19.9%Only Llama 3.3 70B Instruct measured
LMArena Text: hard prompts13091257Gemma 3 12B
LMArena Text: expert12481225Gemma 3 12B
LMArena Text: hard prompts in English13181277Gemma 3 12B
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Gemma 3 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B InstructLeader
AA Math Index18.37.7Gemma 3 12B
AIME 2025 (Artificial Analysis run)18.3%7.7%Gemma 3 12B
OTIS Mock AIME16.7%5.1%Gemma 3 12B
MATH level 5Not measured41.6%Only Llama 3.3 70B Instruct measured
LMArena Text: math13071267Gemma 3 12B
LMArena Text: mathematical work13361267Gemma 3 12B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemma 3 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B InstructLeader
MMLU Pro (Artificial Analysis run)59.5%71.3%Llama 3.3 70B Instruct
MMLUNot measured86.3%Only Llama 3.3 70B Instruct measured
LMArena Text: science13661284Gemma 3 12B
LMArena Text: medicine and healthcare13341275Gemma 3 12B
LMArena Text: legal and government13811284Gemma 3 12B
LMArena Text: business and finance13761243Gemma 3 12B
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 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B InstructLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index114
General benchmarks for Gemma 3 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B InstructLeader
IFBench36.7%47.1%Llama 3.3 70B Instruct
Long context reasoning (AA-LCR)8.3%15.7%Llama 3.3 70B Instruct
DTBench48.8%59.5%Llama 3.3 70B Instruct
LMCA4.5%17.5%Llama 3.3 70B Instruct
Fiction.LiveBenchNot measured33.3%Only Llama 3.3 70B Instruct measured
LMArena Text13341274Gemma 3 12B
LMArena Text: instruction following12991242Gemma 3 12B
LMArena Text: creative writing13311250Gemma 3 12B
LMArena Text: English13491303Gemma 3 12B
LMArena Text: non-English13181236Gemma 3 12B
LMArena Text: ChineseNot measured1217Only Llama 3.3 70B Instruct measured
LMArena Text: German13701251Gemma 3 12B
LMArena Text: JapaneseNot measured1150Only Llama 3.3 70B Instruct measured
LMArena Text: KoreanNot measured1142Only Llama 3.3 70B Instruct measured
LMArena Text: FrenchNot measured1282Only Llama 3.3 70B Instruct measured
LMArena Text: SpanishNot measured1269Only Llama 3.3 70B Instruct measured
LMArena Text: Russian13351252Gemma 3 12B
LMArena Text: PolishNot measured1259Only Llama 3.3 70B Instruct measured
LMArena Text: multi-turn13341280Gemma 3 12B
LMArena Text: longer queries13171255Gemma 3 12B
LMArena Text: writing and language13071255Gemma 3 12B
LMArena Text: entertainment and media12971241Gemma 3 12B
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 12B and Llama 3.3 70B Instruct
BenchmarkGemma 3 12BLlama 3.3 70B 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 12B$0.0002Fits in one request
Llama 3.3 70B Instruct$0.0008Fits in one request

Gemma 3 12B costs less

Repository review

50K input + 3K output tokens

Gemma 3 12B$0.0042Fits in one request
Llama 3.3 70B Instruct$0.025Fits in one request

Gemma 3 12B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 12B$0.017Exceeds the context window
Llama 3.3 70B Instruct$0.097Exceeds the context window

Gemma 3 12B 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 12B and Llama 3.3 70B Instruct
SpecificationGoogle Gemma 3 12BMeta Llama 3.3 70B Instruct
MakerGoogleMeta Llama
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025December 6, 2024
Context window131K131K
Input $/Mtok$0.075$0.45
Output $/Mtok$0.1625$0.72
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 12B better than Llama 3.3 70B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 3 12B for output tokens 4.4x cheaper ($0.1625 vs $0.72 per million) and work measured by AA Coding Index or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Gemma 3 12B or Llama 3.3 70B Instruct?

Gemma 3 12B costs $0.075 per million input tokens and $0.1625 per million output tokens; Llama 3.3 70B Instruct costs $0.45 and $0.72. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 12B or Llama 3.3 70B Instruct?

Neither: both take 131K tokens.

How many benchmarks is the Gemma 3 12B vs Llama 3.3 70B Instruct comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Gemma 3 12B's coding index rests on 0 independent benchmarks and Llama 3.3 70B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next