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Gemma 4 26B A4B vs o1

Gemma 4 26B A4B leads o1 on the Artificial Analysis Intelligence Index, 16.7 to 15.2, and Gemma 4 26B A4B costs 100.0x less per output token ($0.60 vs $60.00 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
37
o1OpenAI
Coding
No data
Overall
44.6
Output $/M
$60.00
4
vs boards won of 41 shared

Gemma 4 26B A4B or o1: which to pick

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

Pick Gemma 4 26B A4B for output tokens 100.0x cheaper ($0.60 vs $60.00 per million) and a larger context window (262K against 200K tokens).

Shared results
41
Gemma 4 26B A4B only
14
o1 only
28
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, o1 not benchmarked.
Widest category
Agentic work, 19.0 points apart on average over 1 shared benchmark.
Widest single gap
LMArena Text: French: Gemma 4 26B A4B 1460 against o1 1344, 19.3 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against o1 $60.00 per million output tokens, 100.0x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, o1 200K.

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 A4BBarso1Ties
Coding32
Intelligence20
Agentic work01
Reasoning51
Math30
Knowledge40
General200
All shared boards374
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for Gemma 4 26B A4B and o1
BenchmarkGemma 4 26B A4Bo1Leader
Aider polyglotNot measured61.7%Only o1 measured
LMArena WebDev1360Not measuredOnly Gemma 4 26B A4B measured
AA Coding Index39.339.7o1
LiveCodeBench (Vals AI)Not measured50.3%Only o1 measured
LiveCodeBench (Artificial Analysis run)Not measured67.9%Only o1 measured
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%12.9%Gemma 4 26B A4B
WeirdML35.2%46.1%o1
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461367Gemma 4 26B A4B
LMArena Text: software and IT14541366Gemma 4 26B A4B
LMArena WebDev: React1351Not measuredOnly Gemma 4 26B A4B measured
LMArena WebDev: HTML1362Not measuredOnly Gemma 4 26B A4B measured
SciCodeNot measured4.6%Only o1 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemma 4 26B A4B and o1
BenchmarkGemma 4 26B A4Bo1Leader
AA Intelligence Index16.715.2Gemma 4 26B A4B
Epoch Capabilities Index141.9141.7Gemma 4 26B A4B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and o1
BenchmarkGemma 4 26B A4Bo1Leader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
τ²-Bench Telecom43.6%62.6%o1
METR time horizonsNot measured51.1%Only o1 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for Gemma 4 26B A4B and o1
BenchmarkGemma 4 26B A4Bo1Leader
GPQA DiamondNot measured73.2%Only o1 measured
MMMU Pro (Vals AI)Not measured77.4%Only o1 measured
GPQA Diamond (Artificial Analysis run)79.2%74.7%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)19.3%7.0%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)73.2%76.8%o1
ARC-AGINot measured30.7%Only o1 measured
SimpleBenchNot measured40.1%Only o1 measured
Chess puzzlesNot measured10.0%Only o1 measured
VPCTNot measured37.0%Only o1 measured
LMArena Text: hard prompts14381371Gemma 4 26B A4B
LMArena Text: expert14471361Gemma 4 26B A4B
LMArena Text: hard prompts in English14481372Gemma 4 26B A4B
LMArena Vision: diagrams1264Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: homework1293Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemma 4 26B A4B and o1
BenchmarkGemma 4 26B A4Bo1Leader
AIMENot measured71.5%Only o1 measured
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)Not measured89.3%Only o1 measured
OTIS Mock AIME82.2%73.3%Gemma 4 26B A4B
FrontierMath, tiers 1 to 3Not measured14.7%Only o1 measured
MATH level 5Not measured94.7%Only o1 measured
LMArena Text: math14701388Gemma 4 26B A4B
LMArena Text: mathematical work14751390Gemma 4 26B A4B
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 26B A4B and o1
BenchmarkGemma 4 26B A4Bo1Leader
MMLU ProNot measured83.5%Only o1 measured
LegalBench (Vals AI)Not measured80.4%Only o1 measured
TaxEval (Vals AI)Not measured74.3%Only o1 measured
MedQA (Vals AI)Not measured96.5%Only o1 measured
MMLU Pro (Artificial Analysis run)Not measured84.1%Only o1 measured
SimpleQA VerifiedNot measured41.1%Only o1 measured
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science14461369Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281355Gemma 4 26B A4B
LMArena Text: legal and government14571368Gemma 4 26B A4B
LMArena Text: business and finance14291328Gemma 4 26B A4B
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and o1
BenchmarkGemma 4 26B A4Bo1Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
General benchmarks for Gemma 4 26B A4B and o1
BenchmarkGemma 4 26B A4Bo1Leader
IFBench72.4%70.3%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%65.0%Gemma 4 26B A4B
DTBench74.9%74.7%Gemma 4 26B A4B
LMCA29.7%22.3%Gemma 4 26B A4B
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
LMArena Text14341366Gemma 4 26B A4B
LMArena Text: instruction following14201367Gemma 4 26B A4B
LMArena Text: creative writing14001347Gemma 4 26B A4B
LMArena Vision12601168Gemma 4 26B A4B
LMArena Text: English14441372Gemma 4 26B A4B
LMArena Text: non-English14211358Gemma 4 26B A4B
LMArena Text: Chinese14951394Gemma 4 26B A4B
LMArena Text: GermanNot measured1337Only o1 measured
LMArena Text: JapaneseNot measured1346Only o1 measured
LMArena Text: KoreanNot measured1396Only o1 measured
LMArena Text: French14601344Gemma 4 26B A4B
LMArena Text: Spanish14151345Gemma 4 26B A4B
LMArena Text: Russian14341356Gemma 4 26B A4B
LMArena Text: multi-turn14411355Gemma 4 26B A4B
LMArena Text: longer queries14271378Gemma 4 26B A4B
LMArena Text: writing and language14051360Gemma 4 26B A4B
LMArena Text: entertainment and media14031358Gemma 4 26B A4B
LMArena Vision: English12561162Gemma 4 26B A4B
LMArena Vision: Chinese13121235Gemma 4 26B A4B
LMArena Vision: reading text1268Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: humor1272Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing1256Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 16 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 o1
BenchmarkGemma 4 26B A4Bo1Leader
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
o1$0.045Fits 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
o1$0.930Fits 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
o1$3.60Exceeds the context window

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 o1
SpecificationGoogle Gemma 4 26B A4BOpenAI o1
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026December 17, 2024
Context window262K200K
Input $/Mtok$0.15$15.00
Output $/Mtok$0.60$60.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than o1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 100.0x cheaper ($0.60 vs $60.00 per million) and a larger context window (262K against 200K tokens).

Which is cheaper, Gemma 4 26B A4B or o1?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 26B A4B or o1?

Gemma 4 26B A4B, with 262K tokens against 200K.

How many benchmarks is the Gemma 4 26B A4B vs o1 comparison based on?

41 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 o1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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