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Gemma 3 4B vs Solar Pro 4

Solar Pro 4 leads Gemma 3 4B on the Artificial Analysis Intelligence Index, 28.2 to 4.8, and Gemma 3 4B costs 8.0x less per output token ($0.075 vs $0.60 per million). Updated October 21, 2026; 27 benchmarks have a result for both.

Gemma 3 4BGoogle
Coding
No data
Overall
22.6
Output $/M
$0.075
0
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
27
vs boards won of 27 shared

Gemma 3 4B or Solar Pro 4: 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 8.0x cheaper ($0.075 vs $0.60 per million) and work measured by AA Coding Index or LMArena Text: coding, where it leads.

Shared results
27
Gemma 3 4B only
15
Solar Pro 4 only
18
Like-for-like categories
6 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, Solar Pro 4 not benchmarked.
Widest category
Coding, 37.2 points apart on average over 3 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemma 3 4B 6.7% against Solar Pro 4 70.7%, 64.0 points apart on a 0 to 100 scale.
Output price
Gemma 3 4B $0.075 against Solar Pro 4 $0.60 per million output tokens, 8.0x apart.
Context window
Gemma 3 4B takes 131K tokens, Solar Pro 4 524K.

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 4BBarsSolar Pro 4Ties
Coding03
Intelligence01
Reasoning05
Math02
Knowledge04
General012
All shared boards027
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Gemma 3 4B and Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
LMArena WebDevNot measured1371Only Solar Pro 4 measured
AA Coding Index2.752.7Solar Pro 4
LiveCodeBench (Artificial Analysis run)11.2%Not measuredOnly Gemma 3 4B measured
SciCodeNot measured48.0%Only Solar Pro 4 measured
Terminal-Bench Hard (Artificial Analysis run)0.8%Not measuredOnly Gemma 3 4B measured
ALE-BenchNot measured179.3Only Solar Pro 4 measured
LMArena Text: coding12301438Solar Pro 4
LMArena Text: software and IT12691431Solar Pro 4
LMArena WebDev: ReactNot measured1363Only Solar Pro 4 measured
LMArena WebDev: HTMLNot measured1371Only Solar Pro 4 measured
SciCode0.0%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 3 4B and Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
AA Intelligence Index4.828.2Solar Pro 4
Epoch Capabilities Index115.9Not measuredOnly Gemma 3 4B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Gemma 3 4B and Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
τ²-Bench Telecom5.0%Not measuredOnly Gemma 3 4B measured
Berkeley Function Calling Leaderboard (BFCL)19.6%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemma 3 4B and Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
GPQA Diamond (Artificial Analysis run)29.1%89.1%Solar Pro 4
Humanity's Last Exam (Artificial Analysis run)5.3%29.8%Solar Pro 4
GPQA Diamond (Epoch AI run)23.2%Not measuredOnly Gemma 3 4B measured
LMArena Text: hard prompts12531400Solar Pro 4
LMArena Text: expert12231428Solar Pro 4
LMArena Text: hard prompts in English12531427Solar Pro 4
Kagi LLM Benchmark25.2%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemma 3 4B and Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
AA Math Index12.7Not measuredOnly Gemma 3 4B measured
AIME 2025 (Artificial Analysis run)12.7%Not measuredOnly Gemma 3 4B measured
OTIS Mock AIME7.5%Not measuredOnly Gemma 3 4B measured
LMArena Text: math12391421Solar Pro 4
LMArena Text: mathematical work12561427Solar Pro 4
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 4B and Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
MMLU Pro (Artificial Analysis run)41.7%Not measuredOnly Gemma 3 4B measured
LMArena Text: science13061404Solar Pro 4
LMArena Text: medicine and healthcare13421374Solar Pro 4
LMArena Text: legal and government13271383Solar Pro 4
LMArena Text: business and finance13111381Solar Pro 4
Neither model has a result on the other 13 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 Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
Design Arena: websitesNot measured1176Only Solar Pro 4 measured
Design Arena: UI componentsNot measured1150Only Solar Pro 4 measured
Design Arena: game devNot measured1170Only Solar Pro 4 measured
Design Arena: data vizNot measured1177Only Solar Pro 4 measured
Design Arena: 3DNot measured1178Only Solar Pro 4 measured
Design Arena: all code categoriesNot measured1182Only Solar Pro 4 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for Gemma 3 4B and Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
IFBench28.3%Not measuredOnly Gemma 3 4B measured
Long context reasoning (AA-LCR)6.7%70.7%Solar Pro 4
DTBench50.9%Not measuredOnly Gemma 3 4B measured
LMCA2.8%Not measuredOnly Gemma 3 4B measured
LMArena Text12911388Solar Pro 4
LMArena Text: instruction following12391375Solar Pro 4
LMArena Text: creative writing12701317Solar Pro 4
LMArena Text: English13001414Solar Pro 4
LMArena Text: non-English12731363Solar Pro 4
LMArena Text: ChineseNot measured1422Only Solar Pro 4 measured
LMArena Text: German12811358Solar Pro 4
LMArena Text: JapaneseNot measured1320Only Solar Pro 4 measured
LMArena Text: KoreanNot measured1383Only Solar Pro 4 measured
LMArena Text: FrenchNot measured1400Only Solar Pro 4 measured
LMArena Text: SpanishNot measured1409Only Solar Pro 4 measured
LMArena Text: Russian12941357Solar Pro 4
LMArena Text: PolishNot measured1304Only Solar Pro 4 measured
LMArena Text: multi-turn12551385Solar Pro 4
LMArena Text: longer queries12731382Solar Pro 4
LMArena Text: writing and language12881344Solar Pro 4
LMArena Text: entertainment and media12331332Solar Pro 4
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 4B and Solar Pro 4
BenchmarkGemma 3 4BSolar Pro 4Leader
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
Solar Pro 4$0.0004Fits in one request

Gemma 3 4B costs less

Repository review

50K input + 3K output tokens

Gemma 3 4B$0.0025Fits in one request
Solar Pro 4$0.0093Fits in one request

Gemma 3 4B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 4B$0.0097Exceeds the context window
Solar Pro 4$0.036Fits 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 Solar Pro 4
SpecificationGoogle Gemma 3 4BUpstage Solar Pro 4
MakerGoogleUpstage
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025August 10, 2026
Context window131K524K
Input $/Mtok$0.045$0.15
Output $/Mtok$0.075$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 4B better than Solar Pro 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 3 4B for output tokens 8.0x cheaper ($0.075 vs $0.60 per million) and work measured by AA Coding Index or LMArena Text: coding, where it leads.

Which is cheaper, Gemma 3 4B or Solar Pro 4?

Gemma 3 4B costs $0.045 per million input tokens and $0.075 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 4B or Solar Pro 4?

Solar Pro 4, with 524K tokens against 131K.

How many benchmarks is the Gemma 3 4B vs Solar Pro 4 comparison based on?

27 benchmarks have a result for both models as of October 21, 2026. Gemma 3 4B's coding index rests on 0 independent benchmarks and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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