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Gemma 4 26B A4B vs Grok 4.3

Grok 4.3 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 24.9 to 16.7, and Gemma 4 26B A4B costs 4.2x less per output token ($0.60 vs $2.50 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

Replace Gemma 4 26B A4B Replace Grok 4.3
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
33
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
19
vs boards won of 52 shared

Gemma 4 26B A4B or Grok 4.3: which to pick

Only Grok 4.3 has a coding score, 37.4 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.

Pick Gemma 4 26B A4B for output tokens 4.2x cheaper ($0.60 vs $2.50 per million) and work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Model AGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved taskModel BGrok 4.3xAI37.4/1003 independent benchmarks$0.31 per solved task
Shared results
52
Gemma 4 26B A4B only
3
Grok 4.3 only
53
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 4 26B A4B not benchmarked, Grok 4.3 37.4 from 3 benchmarks.
Widest category
Agentic work, 33.3 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against Grok 4.3 97.7%, 54.1 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against Grok 4.3 $2.50 per million output tokens, 4.2x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, Grok 4.3 1M.

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 4 26B A4BBarsGrok 4.3Ties
Coding37
Intelligence01
Agentic work02
Reasoning53
Math21
Knowledge40
General195
All shared boards3319
CodingLike-for-likeSix of these boards feed the Vibe Coding Index37
Coding benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
LMArena WebDev13601358Gemma 4 26B A4B
AA Coding Index39.342.2Grok 4.3
LiveCodeBench (Vals AI)Not measured84.5%Only Grok 4.3 measured
SWE-bench Verified (Vals AI)Not measured71.4%Only Grok 4.3 measured
Vibe Code Bench (Vals AI)Not measured19.4%Only Grok 4.3 measured
Code migration (Vals AI)Not measured6.8%Only Grok 4.3 measured
ProgramBench (Vals AI)Not measured0.0%Only Grok 4.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Grok 4.3 measured
SkillsBench (Vals AI)Not measured40.6%Only Grok 4.3 measured
SciCode40.0%48.3%Grok 4.3
Terminal-Bench Hard (Artificial Analysis run)25.0%37.9%Grok 4.3
WeirdML35.2%49.9%Grok 4.3
ALE-Bench927.2944.2Grok 4.3
LMArena Text: coding14461415Gemma 4 26B A4B
LMArena Text: software and IT14541416Gemma 4 26B A4B
LMArena WebDev: React13511353Grok 4.3
LMArena WebDev: HTML13621367Grok 4.3
LMArena WebDev: from an imageNot measured1375Only Grok 4.3 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
AA Intelligence Index16.724.9Grok 4.3
Epoch Capabilities Index141.9Not measuredOnly Gemma 4 26B A4B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
AA Agentic Index2.915.5Grok 4.3
Design Arena: agents building web appsNot measured1126Only Grok 4.3 measured
Design Arena: agents building full-stack appsNot measured1006Only Grok 4.3 measured
Design Arena: agents building mobile appsNot measured1058Only Grok 4.3 measured
Design Arena: agents building Android appsNot measured962Only Grok 4.3 measured
Design Arena: agents building Godot gamesNot measured914Only Grok 4.3 measured
Design Arena: agents building gamesNot measured1007Only Grok 4.3 measured
Design Arena: HTML slidesNot measured959Only Grok 4.3 measured
Design Arena: PowerPoint slidesNot measured988Only Grok 4.3 measured
Design Arena: spreadsheetsNot measured879Only Grok 4.3 measured
Finance Agent (Vals AI)Not measured37.7%Only Grok 4.3 measured
Tax Agent Bench (Vals AI)Not measured6.2%Only Grok 4.3 measured
Legal Research Bench (Vals AI)Not measured15.4%Only Grok 4.3 measured
Excel Modeling Benchmark (Vals AI)Not measured18.4%Only Grok 4.3 measured
τ²-Bench Telecom43.6%97.7%Grok 4.3
Vending-Bench 2Not measured$35Only Grok 4.3 measured
LMArena SearchNot measured1166Only Grok 4.3 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index53
Reasoning benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
GPQA DiamondNot measured91.4%Only Grok 4.3 measured
MMMU Pro (Vals AI)Not measured83.1%Only Grok 4.3 measured
GPQA Diamond (Artificial Analysis run)79.2%90.1%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)19.3%37.2%Grok 4.3
GPQA Diamond (Epoch AI run)73.2%88.8%Grok 4.3
Chess puzzlesNot measured18.0%Only Grok 4.3 measured
LMArena Text: hard prompts14381396Gemma 4 26B A4B
LMArena Text: expert14471384Gemma 4 26B A4B
LMArena Text: hard prompts in English14481402Gemma 4 26B A4B
LMArena Vision: diagrams12641241Gemma 4 26B A4B
LMArena Vision: homework12931241Gemma 4 26B A4B
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
OTIS Mock AIME82.2%93.3%Grok 4.3
FrontierMath, tiers 1 to 3Not measured42.8%Only Grok 4.3 measured
FrontierMath, tier 4Not measured14.6%Only Grok 4.3 measured
ProofBenchNot measured11.0%Only Grok 4.3 measured
LMArena Text: math14701387Gemma 4 26B A4B
LMArena Text: mathematical work14751396Gemma 4 26B A4B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
MMLU ProNot measured85.8%Only Grok 4.3 measured
LegalBench (Vals AI)Not measured84.5%Only Grok 4.3 measured
CaseLaw (Vals AI)Not measured79.3%Only Grok 4.3 measured
CorpFin (Vals AI)Not measured68.5%Only Grok 4.3 measured
TaxEval (Vals AI)Not measured70.8%Only Grok 4.3 measured
MortgageTax (Vals AI)Not measured48.3%Only Grok 4.3 measured
MedCode (Vals AI)Not measured38.1%Only Grok 4.3 measured
SimpleQA VerifiedNot measured33.2%Only Grok 4.3 measured
LMArena Text: science14461399Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281384Gemma 4 26B A4B
LMArena Text: legal and government14571386Gemma 4 26B A4B
LMArena Text: business and finance14291381Gemma 4 26B A4B
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
Design Arena: websitesNot measured1196Only Grok 4.3 measured
Design Arena: UI componentsNot measured1190Only Grok 4.3 measured
Design Arena: game devNot measured1173Only Grok 4.3 measured
Design Arena: data vizNot measured1179Only Grok 4.3 measured
Design Arena: 3DNot measured1124Only Grok 4.3 measured
Design Arena: all code categoriesNot measured1186Only Grok 4.3 measured
Design Arena: SVGNot measured1080Only Grok 4.3 measured
Design Arena: ASCII artNot measured1125Only Grok 4.3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index195
General benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
Public Benefits Bench (Vals AI)Not measured51.7%Only Grok 4.3 measured
SAGE (Vals AI)Not measured19.7%Only Grok 4.3 measured
MedScribe (Vals AI)Not measured74.4%Only Grok 4.3 measured
Vals Multimodal IndexNot measured43.3%Only Grok 4.3 measured
IFBench72.4%83.3%Grok 4.3
Long context reasoning (AA-LCR)65.7%75.0%Grok 4.3
DTBench74.9%90.7%Grok 4.3
LMCA29.7%38.3%Grok 4.3
LMArena Text14341397Gemma 4 26B A4B
LMArena Text: instruction following14201366Gemma 4 26B A4B
LMArena Text: creative writing14001380Gemma 4 26B A4B
LMArena Vision12601229Gemma 4 26B A4B
LMArena Text: English14441404Gemma 4 26B A4B
LMArena Text: non-English14211385Gemma 4 26B A4B
LMArena Text: Chinese14951422Gemma 4 26B A4B
LMArena Text: GermanNot measured1395Only Grok 4.3 measured
LMArena Text: JapaneseNot measured1379Only Grok 4.3 measured
LMArena Text: KoreanNot measured1354Only Grok 4.3 measured
LMArena Text: French14601411Gemma 4 26B A4B
LMArena Text: Spanish14151399Gemma 4 26B A4B
LMArena Text: Russian14341399Gemma 4 26B A4B
LMArena Text: PolishNot measured1398Only Grok 4.3 measured
LMArena Text: multi-turn14411406Gemma 4 26B A4B
LMArena Text: longer queries14271393Gemma 4 26B A4B
LMArena Text: writing and language14051385Gemma 4 26B A4B
LMArena Text: entertainment and media14031370Gemma 4 26B A4B
LMArena Vision: English12561235Gemma 4 26B A4B
LMArena Vision: Chinese13121257Gemma 4 26B A4B
LMArena Vision: reading text12681235Gemma 4 26B A4B
LMArena Vision: humor12721222Gemma 4 26B A4B
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things11911217Grok 4.3
LMArena Vision: creative writing12561237Gemma 4 26B A4B
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 26B A4B and Grok 4.3
BenchmarkGemma 4 26B A4BGrok 4.3Leader
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 4 26B A4B$0.0004Fits in one request
Grok 4.3$0.0025Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0093Fits in one request
Grok 4.3$0.070Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.036Fits in one request
Grok 4.3$0.275Fits in one request

Gemma 4 26B A4B 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 4 26B A4B and Grok 4.3
SpecificationGoogle Gemma 4 26B A4BSpaceXAI Grok 4.3
MakerGooglexAI
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026April 30, 2026
Context window262K1M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.60$2.50
Coding indexNot benchmarked37.4
Independent measurements behind it13
Cost per solved taskNot computable$0.31
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Grok 4.3 for coding?

Only Grok 4.3 has a coding score, 37.4 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 4.2x cheaper ($0.60 vs $2.50 per million) and work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Which is cheaper, Gemma 4 26B A4B or Grok 4.3?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Cost per solved task is known for Grok 4.3 only.

Which has the bigger context window, Gemma 4 26B A4B or Grok 4.3?

Grok 4.3, with 1M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs Grok 4.3 comparison based on?

52 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Grok 4.3's on 3. Where only one model has a result, the page says so instead of naming a winner.

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