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Gemma 3 12B vs GPT-4o (2024-08-06)

GPT-4o (2024-08-06) leads Gemma 3 12B on the Artificial Analysis Intelligence Index, 7.7 to 3.8, and Gemma 3 12B costs 61.5x less per output token ($0.1625 vs $10.00 per million). Updated October 22, 2026; 32 benchmarks have a result for both.

Replace Gemma 3 12B Replace GPT-4o (2024-08-06)
Gemma 3 12BGoogle
Coding
No data
Overall
28.0
Output $/M
$0.1625
24
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
8
vs boards won of 32 shared

Gemma 3 12B or GPT-4o (2024-08-06): 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 61.5x cheaper ($0.1625 vs $10.00 per million) and a larger context window (131K against 128K tokens).

Model AGemma 3 12BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
32
Gemma 3 12B only
11
GPT-4o (2024-08-06) only
26
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, GPT-4o (2024-08-06) not benchmarked.
Widest category
Agentic work, 18.1 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Gemma 3 12B 8.3% against GPT-4o (2024-08-06) 41.0%, 32.7 points apart on a 0 to 100 scale.
Output price
Gemma 3 12B $0.1625 against GPT-4o (2024-08-06) $10.00 per million output tokens, 61.5x apart.
Context window
Gemma 3 12B takes 131K tokens, GPT-4o (2024-08-06) 128K.

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 12BBarsGPT-4o (2024-08-06)Ties
Coding13
Intelligence01
Agentic work01
Reasoning42
Math30
Knowledge40
General121
All shared boards248
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for Gemma 3 12B and GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
Aider polyglotNot measured23.1%Only GPT-4o (2024-08-06) measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
AA Coding Index5.8Not measuredOnly Gemma 3 12B measured
LiveCodeBench (Artificial Analysis run)13.7%31.7%GPT-4o (2024-08-06)
SciCode16.4%Not measuredOnly Gemma 3 12B measured
Terminal-Bench Hard (Artificial Analysis run)0.8%8.3%GPT-4o (2024-08-06)
LMArena Text: coding12811283GPT-4o (2024-08-06)
LMArena Text: software and IT13131278Gemma 3 12B
SciCode0.0%Not measuredOnly Gemma 3 12B measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 3 12B and GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
AA Intelligence Index3.87.7GPT-4o (2024-08-06)
Epoch Capabilities Index123.5Not measuredOnly Gemma 3 12B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 3 12B and GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
AA Agentic Index0.1Not measuredOnly Gemma 3 12B measured
τ²-Bench Telecom10.8%28.9%GPT-4o (2024-08-06)
Berkeley Function Calling Leaderboard (BFCL)30.4%Not measuredOnly Gemma 3 12B measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
Reasoning benchmarks for Gemma 3 12B and GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
MMMU Pro (Vals AI)Not measured64.0%Only GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)34.9%52.1%GPT-4o (2024-08-06)
Humanity's Last Exam (Artificial Analysis run)4.2%2.3%Gemma 3 12B
GPQA Diamond (Epoch AI run)39.5%49.2%GPT-4o (2024-08-06)
SimpleBenchNot measured17.8%Only GPT-4o (2024-08-06) measured
Chess puzzlesNot measured6.0%Only GPT-4o (2024-08-06) measured
LMArena Text: hard prompts13091264Gemma 3 12B
LMArena Text: expert12481241Gemma 3 12B
LMArena Text: hard prompts in English13181277Gemma 3 12B
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemma 3 12B and GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
AIMENot measured14.0%Only GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)Not measured75.2%Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)Not measured90.7%Only GPT-4o (2024-08-06) measured
AA Math Index18.3Not measuredOnly Gemma 3 12B measured
AIME 2025 (Artificial Analysis run)18.3%Not measuredOnly Gemma 3 12B measured
OTIS Mock AIME16.7%6.4%Gemma 3 12B
FrontierMath, tiers 1 to 3Not measured0.4%Only GPT-4o (2024-08-06) measured
MATH level 5Not measured53.3%Only GPT-4o (2024-08-06) measured
LMArena Text: math13071285Gemma 3 12B
LMArena Text: mathematical work13361283Gemma 3 12B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 3 12B and GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
MMLU ProNot measured74.1%Only GPT-4o (2024-08-06) measured
LegalBench (Vals AI)Not measured80.1%Only GPT-4o (2024-08-06) measured
CorpFin (Vals AI)Not measured39.4%Only GPT-4o (2024-08-06) measured
TaxEval (Vals AI)Not measured71.1%Only GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)Not measured61.0%Only GPT-4o (2024-08-06) measured
MedQA (Vals AI)Not measured88.2%Only GPT-4o (2024-08-06) measured
MMLU Pro (Artificial Analysis run)59.5%Not measuredOnly Gemma 3 12B measured
SimpleQA VerifiedNot measured26.0%Only GPT-4o (2024-08-06) measured
MMLUNot measured84.3%Only GPT-4o (2024-08-06) measured
LMArena Text: science13661274Gemma 3 12B
LMArena Text: medicine and healthcare13341252Gemma 3 12B
LMArena Text: legal and government13811275Gemma 3 12B
LMArena Text: business and finance13761232Gemma 3 12B
Neither model has a result on the other 7 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 GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for Gemma 3 12B and GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
IFBench36.7%36.0%Gemma 3 12B
Long context reasoning (AA-LCR)8.3%41.0%GPT-4o (2024-08-06)
DTBench48.8%Not measuredOnly Gemma 3 12B measured
LMCA4.5%Not measuredOnly Gemma 3 12B measured
LMArena Text13341283Gemma 3 12B
LMArena Text: instruction following12991267Gemma 3 12B
LMArena Text: creative writing13311274Gemma 3 12B
LMArena VisionNot measured1065Only GPT-4o (2024-08-06) measured
LMArena Text: English13491297Gemma 3 12B
LMArena Text: non-English13181262Gemma 3 12B
LMArena Text: ChineseNot measured1254Only GPT-4o (2024-08-06) measured
LMArena Text: German13701257Gemma 3 12B
LMArena Text: JapaneseNot measured1234Only GPT-4o (2024-08-06) measured
LMArena Text: KoreanNot measured1218Only GPT-4o (2024-08-06) measured
LMArena Text: FrenchNot measured1263Only GPT-4o (2024-08-06) measured
LMArena Text: SpanishNot measured1269Only GPT-4o (2024-08-06) measured
LMArena Text: Russian13351272Gemma 3 12B
LMArena Text: multi-turn13341279Gemma 3 12B
LMArena Text: longer queries13171283Gemma 3 12B
LMArena Text: writing and language13071290Gemma 3 12B
LMArena Text: entertainment and media12971267Gemma 3 12B
LMArena Vision: EnglishNot measured1072Only GPT-4o (2024-08-06) measured
LMArena Vision: ChineseNot measured1009Only GPT-4o (2024-08-06) measured
Neither model has a result on the other 25 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 GPT-4o (2024-08-06)
BenchmarkGemma 3 12BGPT-4o (2024-08-06)Leader
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
GPT-4o (2024-08-06)$0.0075Fits in one request

Gemma 3 12B costs less

Repository review

50K input + 3K output tokens

Gemma 3 12B$0.0042Fits in one request
GPT-4o (2024-08-06)$0.155Fits in one request

Gemma 3 12B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 12B$0.017Exceeds the context window
GPT-4o (2024-08-06)$0.600Exceeds 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 GPT-4o (2024-08-06)
SpecificationGoogle Gemma 3 12BOpenAI GPT-4o (2024-08-06)
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025August 6, 2024
Context window131K128K
Input $/Mtok$0.075$2.50
Output $/Mtok$0.1625$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 12B better than GPT-4o (2024-08-06) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 3 12B for output tokens 61.5x cheaper ($0.1625 vs $10.00 per million) and a larger context window (131K against 128K tokens).

Which is cheaper, Gemma 3 12B or GPT-4o (2024-08-06)?

Gemma 3 12B costs $0.075 per million input tokens and $0.1625 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 12B or GPT-4o (2024-08-06)?

Gemma 3 12B, with 131K tokens against 128K.

How many benchmarks is the Gemma 3 12B vs GPT-4o (2024-08-06) comparison based on?

32 benchmarks have a result for both models as of October 22, 2026. Gemma 3 12B's coding index rests on 0 independent benchmarks and GPT-4o (2024-08-06)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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