LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

R1 0528 vs Gemma 4 26B A4B

Updated October 21, 2026. 35 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace R1 0528 Replace Gemma 4 26B A4B
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
5
Gemma 4 26B A4BGoogle
Coding
22.8
Overall
16.7
Output $/M
$0.255
30
vs boards won of 35 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B.

Pick Gemma 4 26B A4B when output tokens cost 8.4x less, or when the context window is larger, 262K against 164K tokens.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel BGemma 4 26B A4BGoogle22.8/1001 independent benchmarkNo cost per solved task
Shared results
35
R1 0528 only
24
Gemma 4 26B A4B only
19
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
R1 0528 71.4 from 1 benchmark, Gemma 4 26B A4B 22.8 from 1 benchmark.
Widest category
Math, 12.5 points apart on average over 3 shared benchmarks.
Widest single gap
IFBench: R1 0528 39.6% against Gemma 4 26B A4B 72.4%, 32.9 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against Gemma 4 26B A4B $0.255 per million output tokens, 8.4x apart.
Context window
R1 0528 takes 164K tokens, Gemma 4 26B A4B 262K.

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
CategoryR1 0528BarsGemma 4 26B A4BTies
Coding14
Intelligence01
Agentic work01
Reasoning24
Math03
Knowledge13
General114
All shared boards530
CodingLike-for-likeFour of these boards feed the Vibe Coding Index14
Coding benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LMArena WebDevNot measured1360Only Gemma 4 26B A4B measured
AA Coding IndexNot measured39.3Only Gemma 4 26B A4B measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
SciCodeNot measured40.0%Only Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)15.9%25.0%Gemma 4 26B A4B
WeirdML41.6%35.2%R1 0528
ALE-Bench804.1927.2Gemma 4 26B A4B
LMArena Text: coding14271446Gemma 4 26B A4B
LMArena Text: software and IT14351454Gemma 4 26B A4B
LMArena WebDev: ReactNot measured1351Only Gemma 4 26B A4B measured
LMArena WebDev: HTMLNot measured1362Only Gemma 4 26B A4B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
AA Intelligence Index13.116.7Gemma 4 26B A4B
Epoch Capabilities IndexNot measured141.9Only Gemma 4 26B A4B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
AA Agentic IndexNot measured2.9Only Gemma 4 26B A4B measured
τ²-Bench Telecom36.5%43.6%Gemma 4 26B A4B
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
GPQA Diamond (Artificial Analysis run)81.3%79.2%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%19.3%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)76.3%73.2%R1 0528
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
LMArena Text: hard prompts14151438Gemma 4 26B A4B
LMArena Text: expert13941447Gemma 4 26B A4B
LMArena Text: hard prompts in English14221448Gemma 4 26B A4B
LMArena Vision: diagramsNot measured1264Only Gemma 4 26B A4B measured
LMArena Vision: homeworkNot measured1293Only Gemma 4 26B A4B measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%82.2%Gemma 4 26B A4B
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001470Gemma 4 26B A4B
LMArena Text: mathematical work14151475Gemma 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 index13
Knowledge benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science14301446Gemma 4 26B A4B
LMArena Text: medicine and healthcare14451428R1 0528
LMArena Text: legal and government14191457Gemma 4 26B A4B
LMArena Text: business and finance14021429Gemma 4 26B A4B
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
Design Arena: websites1149Not measuredOnly R1 0528 measured
Design Arena: UI components1102Not measuredOnly R1 0528 measured
Design Arena: game dev1098Not measuredOnly R1 0528 measured
Design Arena: data viz1182Not measuredOnly R1 0528 measured
Design Arena: 3D1111Not measuredOnly R1 0528 measured
Design Arena: all code categories1139Not measuredOnly R1 0528 measured
Design Arena: SVG1038Not measuredOnly R1 0528 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index114
General benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
IFBench39.6%72.4%Gemma 4 26B A4B
Long context reasoning (AA-LCR)55.7%65.7%Gemma 4 26B A4B
DTBenchNot measured74.9%Only Gemma 4 26B A4B measured
LMCANot measured29.7%Only Gemma 4 26B A4B measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281434Gemma 4 26B A4B
LMArena Text: instruction following13821420Gemma 4 26B A4B
LMArena Text: creative writing14051400R1 0528
LMArena VisionNot measured1260Only Gemma 4 26B A4B measured
LMArena Text: English14371444Gemma 4 26B A4B
LMArena Text: non-English14121421Gemma 4 26B A4B
LMArena Text: Chinese14421495Gemma 4 26B A4B
LMArena Text: German1404Not measuredOnly R1 0528 measured
LMArena Text: Japanese1391Not measuredOnly R1 0528 measured
LMArena Text: Korean1360Not measuredOnly R1 0528 measured
LMArena Text: French14171460Gemma 4 26B A4B
LMArena Text: Spanish14111415Gemma 4 26B A4B
LMArena Text: Russian14231434Gemma 4 26B A4B
LMArena Text: Polish1428Not measuredOnly R1 0528 measured
LMArena Text: multi-turn14051441Gemma 4 26B A4B
LMArena Text: longer queries13911427Gemma 4 26B A4B
LMArena Text: writing and language14021405Gemma 4 26B A4B
LMArena Text: entertainment and media14001403Gemma 4 26B A4B
LMArena Vision: EnglishNot measured1256Only Gemma 4 26B A4B measured
LMArena Vision: ChineseNot measured1312Only Gemma 4 26B A4B measured
LMArena Vision: reading textNot measured1268Only Gemma 4 26B A4B measured
LMArena Vision: humorNot measured1272Only Gemma 4 26B A4B measured
LMArena Vision: captioningNot measured1297Only Gemma 4 26B A4B measured
LMArena Vision: recognizing thingsNot measured1191Only Gemma 4 26B A4B measured
LMArena Vision: creative writingNot measured1256Only Gemma 4 26B A4B measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and Gemma 4 26B A4B
BenchmarkR1 0528Gemma 4 26B A4BLeader
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

R1 0528$0.0016Fits in one request
Gemma 4 26B A4B$0.0002Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
Gemma 4 26B A4B$0.0046Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
Gemma 4 26B A4B$0.018Fits 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 R1 0528 and Gemma 4 26B A4B
SpecificationDeepSeek R1 0528Google Gemma 4 26B A4B
MakerDeepSeekGoogle
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025April 3, 2026
Context window164K262K
Input $/Mtok$0.50$0.0765
Output $/Mtok$2.15$0.255
Coding index71.422.8
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Gemma 4 26B A4B for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when output tokens cost 8.4x less, or when the context window is larger, 262K against 164K tokens.

Which is cheaper, R1 0528 or Gemma 4 26B A4B?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; Gemma 4 26B A4B costs $0.0765 and $0.255. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or Gemma 4 26B A4B?

Gemma 4 26B A4B, with 262K tokens against 164K.

How many benchmarks is the R1 0528 vs Gemma 4 26B A4B comparison based on?

35 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and Gemma 4 26B A4B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next