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Command A vs Gemma 4 26B A4B

Gemma 4 26B A4B leads Command A on the Artificial Analysis Intelligence Index, 16.7 to 13.1, and Gemma 4 26B A4B costs 16.7x less per output token ($0.60 vs $10.00 per million). Updated October 21, 2026; 36 benchmarks have a result for both.

Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
2
Gemma 4 26B A4BGoogle
Coding
No data
Overall
16.7
Output $/M
$0.60
33
vs boards won of 36 shared, 1 tied

Command A or Gemma 4 26B A4B: which to pick

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

Pick Command A for work measured by AA Coding Index or SciCode, where it leads.

Shared results
36
Command A only
24
Gemma 4 26B A4B only
18
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
Command A not benchmarked, Gemma 4 26B A4B not benchmarked.
Widest category
Math, 27.7 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Command A 80.7% against Gemma 4 26B A4B 43.6%, 37.1 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against Gemma 4 26B A4B $0.60 per million output tokens, 16.7x apart.
Context window
Command A takes 256K 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
CategoryCommand ABarsGemma 4 26B A4BTies
Coding041 tie
Intelligence01
Agentic work11
Reasoning05
Math02
Knowledge04
General116
All shared boards2331 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 4 26B A4BLeader
LMArena WebDevNot measured1360Only Gemma 4 26B A4B measured
AA Coding Index27.839.3Gemma 4 26B A4B
LiveCodeBench (Vals AI)35.1%Not measuredOnly Command A measured
SWE-bench Verified (Vals AI)7.8%Not measuredOnly Command A measured
Terminal-Bench 2.1 (Vals AI)17.6%Not measuredOnly Command A measured
LiveCodeBench (Artificial Analysis run)28.7%Not measuredOnly Command A measured
SciCode38.5%40.0%Gemma 4 26B A4B
Terminal-Bench Hard (Artificial Analysis run)25.0%25.0%Tie
WeirdMLNot measured35.2%Only Gemma 4 26B A4B measured
ALE-BenchNot measured927.2Only Gemma 4 26B A4B measured
LMArena Text: coding13301446Gemma 4 26B A4B
LMArena Text: software and IT13361454Gemma 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 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 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 index11
Agentic work benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 4 26B A4BLeader
AA Agentic Index1.02.9Gemma 4 26B A4B
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%43.6%Command A
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 4 26B A4BLeader
GPQA Diamond48.5%Not measuredOnly Command A measured
GPQA Diamond (Artificial Analysis run)76.1%79.2%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)12.0%19.3%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)Not measured73.2%Only Gemma 4 26B A4B measured
LMArena Text: hard prompts13261438Gemma 4 26B A4B
LMArena Text: expert12961447Gemma 4 26B A4B
LMArena Text: hard prompts in English13351448Gemma 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 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 4 26B A4BLeader
AIME13.3%Not measuredOnly Command A measured
MATH 500 (Vals AI)76.2%Not measuredOnly Command A measured
MGSM (Vals AI)85.7%Not measuredOnly Command A measured
AA Math Index13.0Not measuredOnly Command A measured
AIME 2025 (Artificial Analysis run)13.0%Not measuredOnly Command A measured
OTIS Mock AIMENot measured82.2%Only Gemma 4 26B A4B measured
LMArena Text: math13001470Gemma 4 26B A4B
LMArena Text: mathematical work13121475Gemma 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 index04
Knowledge benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 4 26B A4BLeader
MMLU Pro69.2%Not measuredOnly Command A measured
LegalBench (Vals AI)79.7%Not measuredOnly Command A measured
CaseLaw (Vals AI)64.5%Not measuredOnly Command A measured
CorpFin (Vals AI)46.0%Not measuredOnly Command A measured
TaxEval (Vals AI)61.4%Not measuredOnly Command A measured
MedQA (Vals AI)80.5%Not measuredOnly Command A measured
MedCode (Vals AI)19.7%Not measuredOnly Command A measured
MMLU Pro (Artificial Analysis run)71.2%Not measuredOnly Command A measured
LMArena Text: science13391446Gemma 4 26B A4B
LMArena Text: medicine and healthcare13341428Gemma 4 26B A4B
LMArena Text: legal and government13481457Gemma 4 26B A4B
LMArena Text: business and finance13151429Gemma 4 26B A4B
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 4 26B A4BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index116
General benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 4 26B A4BLeader
MedScribe (Vals AI)55.7%Not measuredOnly Command A measured
IFBench73.9%72.4%Command A
Long context reasoning (AA-LCR)52.7%65.7%Gemma 4 26B A4B
DTBench61.3%74.9%Gemma 4 26B A4B
LMCA10.3%29.7%Gemma 4 26B A4B
LMArena Text13311434Gemma 4 26B A4B
LMArena Text: instruction following13091420Gemma 4 26B A4B
LMArena Text: creative writing13191400Gemma 4 26B A4B
LMArena VisionNot measured1260Only Gemma 4 26B A4B measured
LMArena Text: English13441444Gemma 4 26B A4B
LMArena Text: non-English13131421Gemma 4 26B A4B
LMArena Text: Chinese13271495Gemma 4 26B A4B
LMArena Text: German1342Not measuredOnly Command A measured
LMArena Text: Japanese1285Not measuredOnly Command A measured
LMArena Text: Korean1285Not measuredOnly Command A measured
LMArena Text: French13511460Gemma 4 26B A4B
LMArena Text: Spanish13471415Gemma 4 26B A4B
LMArena Text: Russian13141434Gemma 4 26B A4B
LMArena Text: Polish1324Not measuredOnly Command A measured
LMArena Text: multi-turn13381441Gemma 4 26B A4B
LMArena Text: longer queries13341427Gemma 4 26B A4B
LMArena Text: writing and language13281405Gemma 4 26B A4B
LMArena Text: entertainment and media13061403Gemma 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 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A and Gemma 4 26B A4B
BenchmarkCommand AGemma 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

Command A$0.0075Fits in one request
Gemma 4 26B A4B$0.0004Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
Gemma 4 26B A4B$0.0093Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
Gemma 4 26B A4B$0.036Fits 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 Command A and Gemma 4 26B A4B
SpecificationCohere Command AGoogle Gemma 4 26B A4B
MakerCohereGoogle
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025April 3, 2026
Context window256K262K
Input $/Mtok$2.50$0.15
Output $/Mtok$10.00$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved task$2.69Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than Gemma 4 26B A4B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command A for work measured by AA Coding Index or SciCode, where it leads.

Which is cheaper, Command A or Gemma 4 26B A4B?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Gemma 4 26B A4B costs $0.15 and $0.60. Cost per solved task is known for Command A only.

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

Gemma 4 26B A4B, with 262K tokens against 256K.

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

36 benchmarks have a result for both models as of October 21, 2026. Command A'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.

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