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Gemma 3 4B vs GPT-4.1 Nano

GPT-4.1 Nano leads Gemma 3 4B on the Artificial Analysis Intelligence Index, 7.8 to 4.8, and Gemma 3 4B costs 5.3x less per output token ($0.075 vs $0.40 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace Gemma 3 4B Replace GPT-4.1 Nano
Gemma 3 4BGoogle
Coding
No data
Overall
22.6
Output $/M
$0.075
10
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
31
vs boards won of 41 shared

Gemma 3 4B or GPT-4.1 Nano: 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 5.3x cheaper ($0.075 vs $0.40 per million) and work measured by AA Coding Index or LiveCodeBench (Artificial Analysis run), where it leads.

Model AGemma 3 4BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
41
Gemma 3 4B only
1
GPT-4.1 Nano only
30
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, GPT-4.1 Nano not benchmarked.
Widest category
Agentic work, 12.9 points apart on average over 2 shared benchmarks.
Widest single gap
GPQA Diamond (Epoch AI run): Gemma 3 4B 23.2% against GPT-4.1 Nano 48.9%, 25.7 points apart on a 0 to 100 scale.
Output price
Gemma 3 4B $0.075 against GPT-4.1 Nano $0.40 per million output tokens, 5.3x apart.
Context window
Gemma 3 4B takes 131K tokens, GPT-4.1 Nano 1.05M.

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 4BBarsGPT-4.1 NanoTies
Coding05
Intelligence02
Agentic work02
Reasoning16
Math05
Knowledge41
General510
All shared boards1031
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemma 3 4B and GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
AA Coding Index2.711.1GPT-4.1 Nano
LiveCodeBench (Vals AI)Not measured42.7%Only GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)11.2%32.6%GPT-4.1 Nano
Terminal-Bench Hard (Artificial Analysis run)0.8%3.8%GPT-4.1 Nano
WeirdMLNot measured19.0%Only GPT-4.1 Nano measured
LMArena Text: coding12301306GPT-4.1 Nano
LMArena Text: software and IT12691305GPT-4.1 Nano
SciCode0.0%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 4B and GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
AA Intelligence Index4.87.8GPT-4.1 Nano
Epoch Capabilities Index115.9129.5GPT-4.1 Nano
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 3 4B and GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
τ²-Bench Telecom5.0%17.3%GPT-4.1 Nano
Berkeley Function Calling Leaderboard (BFCL)19.6%33.1%GPT-4.1 Nano
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index16
Reasoning benchmarks for Gemma 3 4B and GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
GPQA DiamondNot measured50.8%Only GPT-4.1 Nano measured
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)29.1%51.2%GPT-4.1 Nano
Humanity's Last Exam (Artificial Analysis run)5.3%3.8%Gemma 3 4B
GPQA Diamond (Epoch AI run)23.2%48.9%GPT-4.1 Nano
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano measured
LMArena Text: hard prompts12531286GPT-4.1 Nano
LMArena Text: expert12231271GPT-4.1 Nano
LMArena Text: hard prompts in English12531293GPT-4.1 Nano
Kagi LLM Benchmark25.2%33.3%GPT-4.1 Nano
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Gemma 3 4B and GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
AIMENot measured26.5%Only GPT-4.1 Nano measured
MATH 500 (Vals AI)Not measured80.2%Only GPT-4.1 Nano measured
MGSM (Vals AI)Not measured69.3%Only GPT-4.1 Nano measured
AA Math Index12.724.0GPT-4.1 Nano
AIME 2025 (Artificial Analysis run)12.7%24.0%GPT-4.1 Nano
OTIS Mock AIME7.5%28.9%GPT-4.1 Nano
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math12391274GPT-4.1 Nano
LMArena Text: mathematical work12561274GPT-4.1 Nano
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemma 3 4B and GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
MMLU ProNot measured63.5%Only GPT-4.1 Nano measured
LegalBench (Vals AI)Not measured61.1%Only GPT-4.1 Nano measured
CorpFin (Vals AI)Not measured42.1%Only GPT-4.1 Nano measured
TaxEval (Vals AI)Not measured60.8%Only GPT-4.1 Nano measured
MortgageTax (Vals AI)Not measured52.8%Only GPT-4.1 Nano measured
MedQA (Vals AI)Not measured68.2%Only GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)41.7%65.7%GPT-4.1 Nano
SimpleQA VerifiedNot measured6.0%Only GPT-4.1 Nano measured
LMArena Text: science13061297Gemma 3 4B
LMArena Text: medicine and healthcare13421276Gemma 3 4B
LMArena Text: legal and government13271300Gemma 3 4B
LMArena Text: business and finance13111267Gemma 3 4B
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemma 3 4B and GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
Design Arena: websitesNot measured972Only GPT-4.1 Nano measured
Design Arena: UI componentsNot measured913Only GPT-4.1 Nano measured
Design Arena: game devNot measured970Only GPT-4.1 Nano measured
Design Arena: data vizNot measured891Only GPT-4.1 Nano measured
Design Arena: 3DNot measured924Only GPT-4.1 Nano measured
Design Arena: all code categoriesNot measured962Only GPT-4.1 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index510
General benchmarks for Gemma 3 4B and GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
IFBench28.3%32.0%GPT-4.1 Nano
Long context reasoning (AA-LCR)6.7%20.3%GPT-4.1 Nano
DTBench50.9%52.5%GPT-4.1 Nano
LMCA2.8%5.5%GPT-4.1 Nano
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
LMArena Text12911285Gemma 3 4B
LMArena Text: instruction following12391266GPT-4.1 Nano
LMArena Text: creative writing12701260Gemma 3 4B
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English13001303GPT-4.1 Nano
LMArena Text: non-English12731260Gemma 3 4B
LMArena Text: ChineseNot measured1270Only GPT-4.1 Nano measured
LMArena Text: German12811288GPT-4.1 Nano
LMArena Text: JapaneseNot measured1198Only GPT-4.1 Nano measured
LMArena Text: Russian12941261Gemma 3 4B
LMArena Text: multi-turn12551277GPT-4.1 Nano
LMArena Text: longer queries12731283GPT-4.1 Nano
LMArena Text: writing and language12881261Gemma 3 4B
LMArena Text: entertainment and media12331243GPT-4.1 Nano
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
Neither model has a result on the other 26 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 GPT-4.1 Nano
BenchmarkGemma 3 4BGPT-4.1 NanoLeader
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
GPT-4.1 Nano$0.0003Fits in one request

Gemma 3 4B costs less

Repository review

50K input + 3K output tokens

Gemma 3 4B$0.0025Fits in one request
GPT-4.1 Nano$0.0062Fits in one request

Gemma 3 4B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 4B$0.0097Exceeds the context window
GPT-4.1 Nano$0.024Fits in one request

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 GPT-4.1 Nano
SpecificationGoogle Gemma 3 4BOpenAI GPT-4.1 Nano
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025April 14, 2025
Context window131K1.05M
Input $/Mtok$0.045$0.10
Output $/Mtok$0.075$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 4B better than GPT-4.1 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 3 4B for output tokens 5.3x cheaper ($0.075 vs $0.40 per million) and work measured by AA Coding Index or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Gemma 3 4B or GPT-4.1 Nano?

Gemma 3 4B costs $0.045 per million input tokens and $0.075 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 4B or GPT-4.1 Nano?

GPT-4.1 Nano, with 1.05M tokens against 131K.

How many benchmarks is the Gemma 3 4B vs GPT-4.1 Nano comparison based on?

41 benchmarks have a result for both models as of October 22, 2026. Gemma 3 4B's coding index rests on 0 independent benchmarks and GPT-4.1 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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