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Gemma 4 26B A4B vs Beam 1.0 501B A23B

Updated October 21, 2026. 26 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemma 4 26B A4B Replace Beam 1.0 501B A23B
Gemma 4 26B A4BGoogle
Coding
22.8
Overall
16.7
Output $/M
$0.255
15
R Beam 1.0 501B A23BReflection
Coding
33.8
Overall
No data
Output $/M
$1.00
11
vs boards won of 26 shared

Decision reading

Pick Beam 1.0 501B A23B for coding: it scores 33.8 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B.

Pick Gemma 4 26B A4B when output tokens cost 3.9x less, or when what matters is LMArena Text: expert or LMArena Text: math, where it leads.

Model AGemma 4 26B A4BGoogle22.8/1001 independent benchmarkNo cost per solved taskModel BBeam 1.0 501B A23BReflection33.8/1001 independent benchmarkNo cost per solved task
Shared results
26
Gemma 4 26B A4B only
28
Beam 1.0 501B A23B only
2
Like-for-like categories
5 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
Gemma 4 26B A4B 22.8 from 1 benchmark, Beam 1.0 501B A23B 33.8 from 1 benchmark.
Widest category
Coding, 8.9 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: React: Gemma 4 26B A4B 1351 against Beam 1.0 501B A23B 1443, 15.3 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.255 against Beam 1.0 501B A23B $1.00 per million output tokens, 3.9x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, Beam 1.0 501B A23B 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 4 26B A4BBarsBeam 1.0 501B A23BTies
Coding05
Reasoning12
Math20
Knowledge31
General93
All shared boards1511
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemma 4 26B A4B and Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
LMArena WebDev13601437Beam 1.0 501B A23B
AA Coding Index39.3Not measuredOnly Gemma 4 26B A4B measured
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%Not measuredOnly Gemma 4 26B A4B measured
WeirdML35.2%Not measuredOnly Gemma 4 26B A4B measured
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461473Beam 1.0 501B A23B
LMArena Text: software and IT14541461Beam 1.0 501B A23B
LMArena WebDev: React13511443Beam 1.0 501B A23B
LMArena WebDev: HTML13621436Beam 1.0 501B A23B
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemma 4 26B A4B and Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
AA Intelligence Index16.7Not measuredOnly Gemma 4 26B A4B measured
Epoch Capabilities Index141.9Not measuredOnly Gemma 4 26B A4B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Gemma 4 26B A4B and Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
τ²-Bench Telecom43.6%Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
Reasoning benchmarks for Gemma 4 26B A4B and Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
GPQA Diamond (Artificial Analysis run)79.2%Not measuredOnly Gemma 4 26B A4B measured
Humanity's Last Exam (Artificial Analysis run)19.3%Not measuredOnly Gemma 4 26B A4B measured
GPQA Diamond (Epoch AI run)73.2%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: hard prompts14381442Beam 1.0 501B A23B
LMArena Text: expert14471447Gemma 4 26B A4B
LMArena Text: hard prompts in English14481451Beam 1.0 501B A23B
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 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemma 4 26B A4B and Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
OTIS Mock AIME82.2%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: math14701459Gemma 4 26B A4B
LMArena Text: mathematical work14751475Gemma 4 26B A4B
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Gemma 4 26B A4B and Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
LMArena Text: science14461430Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281376Gemma 4 26B A4B
LMArena Text: legal and government14571433Gemma 4 26B A4B
LMArena Text: business and finance14291430Beam 1.0 501B A23B
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
Design Arena: websitesNot measured1253Only Beam 1.0 501B A23B measured
Design Arena: game devNot measured1222Only Beam 1.0 501B A23B measured
Neither model has a result on the other 7 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index93
General benchmarks for Gemma 4 26B A4B and Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
IFBench72.4%Not measuredOnly Gemma 4 26B A4B measured
Long context reasoning (AA-LCR)65.7%Not measuredOnly Gemma 4 26B A4B measured
DTBench74.9%Not measuredOnly Gemma 4 26B A4B measured
LMCA29.7%Not measuredOnly Gemma 4 26B A4B measured
LMArena Text14341425Gemma 4 26B A4B
LMArena Text: instruction following14201430Beam 1.0 501B A23B
LMArena Text: creative writing14001390Gemma 4 26B A4B
LMArena Vision1260Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: English14441436Gemma 4 26B A4B
LMArena Text: non-English14211413Gemma 4 26B A4B
LMArena Text: Chinese14951424Gemma 4 26B A4B
LMArena Text: French14601461Beam 1.0 501B A23B
LMArena Text: Spanish1415Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: Russian14341412Gemma 4 26B A4B
LMArena Text: multi-turn14411414Gemma 4 26B A4B
LMArena Text: longer queries14271429Beam 1.0 501B A23B
LMArena Text: writing and language14051400Gemma 4 26B A4B
LMArena Text: entertainment and media14031399Gemma 4 26B A4B
LMArena Vision: English1256Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: Chinese1312Not measuredOnly Gemma 4 26B A4B measured
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 21 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 Beam 1.0 501B A23B
BenchmarkGemma 4 26B A4BBeam 1.0 501B A23BLeader
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$0.0002Fits in one request
Beam 1.0 501B A23B$0.0008Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0046Fits in one request
Beam 1.0 501B A23B$0.018Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.018Fits in one request
Beam 1.0 501B A23B$0.070Fits 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 Beam 1.0 501B A23B
SpecificationGoogle Gemma 4 26B A4BReflection Beam 1.0 501B A23B
MakerGoogleReflection
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026October 16, 2026
Context window262K1.05M
Input $/Mtok$0.0765$0.30
Output $/Mtok$0.255$1.00
Coding index22.833.8
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Beam 1.0 501B A23B for coding?

Pick Beam 1.0 501B A23B for coding: it scores 33.8 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when output tokens cost 3.9x less, or when what matters is LMArena Text: expert or LMArena Text: math, where it leads.

Which is cheaper, Gemma 4 26B A4B or Beam 1.0 501B A23B?

Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; Beam 1.0 501B A23B costs $0.30 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 26B A4B or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs Beam 1.0 501B A23B comparison based on?

26 benchmarks have a result for both models as of October 21, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Beam 1.0 501B A23B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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