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 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Gemma 4 26B A4B
Gemma 4 26B A4B leads, 16.7 against 13.1.
Same board, both measured
Agentic work
AA Agentic Index
Gemma 4 26B A4B
Gemma 4 26B A4B leads, 2.9 against 1.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Command A has a GPQA Diamond result, 48.5%.
Directional only
Math
AIME
No call
Only Command A has a AIME result, 13.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Command A has a MMLU Pro result, 69.2%.
Directional only
Long documents
Listed context window
Gemma 4 26B A4B
Gemma 4 26B A4B takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
Command A $0.0075, Gemma 4 26B A4B $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Command A has the number, $2.69.
Directional only
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.
| Category | Command A | Bars | Gemma 4 26B A4B | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 1 | 16 | ||
| All shared boards | 2 | 33 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1360 | Only Gemma 4 26B A4B measured |
| AA Coding Index | 27.8 | 39.3 | Gemma 4 26B A4B |
| LiveCodeBench (Vals AI) | 35.1% | Not measured | Only Command A measured |
| SWE-bench Verified (Vals AI) | 7.8% | Not measured | Only Command A measured |
| Terminal-Bench 2.1 (Vals AI) | 17.6% | Not measured | Only Command A measured |
| LiveCodeBench (Artificial Analysis run) | 28.7% | Not measured | Only Command A measured |
| SciCode | 38.5% | 40.0% | Gemma 4 26B A4B |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 25.0% | Tie |
| WeirdML | Not measured | 35.2% | Only Gemma 4 26B A4B measured |
| ALE-Bench | Not measured | 927.2 | Only Gemma 4 26B A4B measured |
| LMArena Text: coding | 1330 | 1446 | Gemma 4 26B A4B |
| LMArena Text: software and IT | 1336 | 1454 | Gemma 4 26B A4B |
| LMArena WebDev: React | Not measured | 1351 | Only Gemma 4 26B A4B measured |
| LMArena WebDev: HTML | Not measured | 1362 | Only 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
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 16.7 | Gemma 4 26B A4B |
| Epoch Capabilities Index | Not measured | 141.9 | Only Gemma 4 26B A4B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 2.9 | Gemma 4 26B A4B |
| Finance Agent (Vals AI) | 9.0% | Not measured | Only Command A measured |
| τ²-Bench Telecom | 80.7% | 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
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only 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 measured | 73.2% | Only Gemma 4 26B A4B measured |
| LMArena Text: hard prompts | 1326 | 1438 | Gemma 4 26B A4B |
| LMArena Text: expert | 1296 | 1447 | Gemma 4 26B A4B |
| LMArena Text: hard prompts in English | 1335 | 1448 | Gemma 4 26B A4B |
| LMArena Vision: diagrams | Not measured | 1264 | Only Gemma 4 26B A4B measured |
| LMArena Vision: homework | Not measured | 1293 | Only 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
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AIME | 13.3% | Not measured | Only Command A measured |
| MATH 500 (Vals AI) | 76.2% | Not measured | Only Command A measured |
| MGSM (Vals AI) | 85.7% | Not measured | Only Command A measured |
| AA Math Index | 13.0 | Not measured | Only Command A measured |
| AIME 2025 (Artificial Analysis run) | 13.0% | Not measured | Only Command A measured |
| OTIS Mock AIME | Not measured | 82.2% | Only Gemma 4 26B A4B measured |
| LMArena Text: math | 1300 | 1470 | Gemma 4 26B A4B |
| LMArena Text: mathematical work | 1312 | 1475 | Gemma 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
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| MMLU Pro | 69.2% | Not measured | Only Command A measured |
| LegalBench (Vals AI) | 79.7% | Not measured | Only Command A measured |
| CaseLaw (Vals AI) | 64.5% | Not measured | Only Command A measured |
| CorpFin (Vals AI) | 46.0% | Not measured | Only Command A measured |
| TaxEval (Vals AI) | 61.4% | Not measured | Only Command A measured |
| MedQA (Vals AI) | 80.5% | Not measured | Only Command A measured |
| MedCode (Vals AI) | 19.7% | Not measured | Only Command A measured |
| MMLU Pro (Artificial Analysis run) | 71.2% | Not measured | Only Command A measured |
| LMArena Text: science | 1339 | 1446 | Gemma 4 26B A4B |
| LMArena Text: medicine and healthcare | 1334 | 1428 | Gemma 4 26B A4B |
| LMArena Text: legal and government | 1348 | 1457 | Gemma 4 26B A4B |
| LMArena Text: business and finance | 1315 | 1429 | Gemma 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
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index116
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | 55.7% | Not measured | Only Command A measured |
| IFBench | 73.9% | 72.4% | Command A |
| Long context reasoning (AA-LCR) | 52.7% | 65.7% | Gemma 4 26B A4B |
| DTBench | 61.3% | 74.9% | Gemma 4 26B A4B |
| LMCA | 10.3% | 29.7% | Gemma 4 26B A4B |
| LMArena Text | 1331 | 1434 | Gemma 4 26B A4B |
| LMArena Text: instruction following | 1309 | 1420 | Gemma 4 26B A4B |
| LMArena Text: creative writing | 1319 | 1400 | Gemma 4 26B A4B |
| LMArena Vision | Not measured | 1260 | Only Gemma 4 26B A4B measured |
| LMArena Text: English | 1344 | 1444 | Gemma 4 26B A4B |
| LMArena Text: non-English | 1313 | 1421 | Gemma 4 26B A4B |
| LMArena Text: Chinese | 1327 | 1495 | Gemma 4 26B A4B |
| LMArena Text: German | 1342 | Not measured | Only Command A measured |
| LMArena Text: Japanese | 1285 | Not measured | Only Command A measured |
| LMArena Text: Korean | 1285 | Not measured | Only Command A measured |
| LMArena Text: French | 1351 | 1460 | Gemma 4 26B A4B |
| LMArena Text: Spanish | 1347 | 1415 | Gemma 4 26B A4B |
| LMArena Text: Russian | 1314 | 1434 | Gemma 4 26B A4B |
| LMArena Text: Polish | 1324 | Not measured | Only Command A measured |
| LMArena Text: multi-turn | 1338 | 1441 | Gemma 4 26B A4B |
| LMArena Text: longer queries | 1334 | 1427 | Gemma 4 26B A4B |
| LMArena Text: writing and language | 1328 | 1405 | Gemma 4 26B A4B |
| LMArena Text: entertainment and media | 1306 | 1403 | Gemma 4 26B A4B |
| LMArena Vision: English | Not measured | 1256 | Only Gemma 4 26B A4B measured |
| LMArena Vision: Chinese | Not measured | 1312 | Only Gemma 4 26B A4B measured |
| LMArena Vision: reading text | Not measured | 1268 | Only Gemma 4 26B A4B measured |
| LMArena Vision: humor | Not measured | 1272 | Only Gemma 4 26B A4B measured |
| LMArena Vision: captioning | Not measured | 1297 | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | Not measured | 1191 | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | Not measured | 1256 | Only 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
| Benchmark | Command A | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| 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 costs less
Repository review
50K input + 3K output tokens
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Cohere Command A | Google Gemma 4 26B A4B |
|---|---|---|
| Maker | Cohere | |
| Weights | Open weights | Open weights |
| Released | March 13, 2025 | April 3, 2026 |
| Context window | 256K | 262K |
| Input $/Mtok | $2.50 | $0.15 |
| Output $/Mtok | $10.00 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $2.69 | Not computable |
| Source | OpenRouter listing | OpenRouter 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.