Command A vs Gemma 4 31B
Gemma 4 31B leads Command A on the Artificial Analysis Intelligence Index, 14.7 to 13.1, and Gemma 4 31B costs 25.0x less per output token ($0.40 vs $10.00 per million). Updated October 21, 2026; 39 benchmarks have a result for both.
Command A or Gemma 4 31B: which to pick
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.
Pick Command A for work measured by τ²-Bench Telecom or CaseLaw (Vals AI), where it leads.
- Shared results
- 39
- Command A only
- 23
- Gemma 4 31B only
- 32
- 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
Only Gemma 4 31B has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemma 4 31B
Gemma 4 31B leads, 14.7 against 13.1.
Same board, both measured
Agentic work
AA Agentic Index
Gemma 4 31B
Gemma 4 31B leads, 4.2 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 31B
Gemma 4 31B takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Command A $0.0075, Gemma 4 31B $0.0003 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 31B 39.0 from 2 benchmarks.
- Widest category
- Math, 26.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- Kagi LLM Benchmark: Command A 28.8% against Gemma 4 31B 63.5%, 34.7 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against Gemma 4 31B $0.40 per million output tokens, 25.0x apart.
- Context window
- Command A takes 256K tokens, Gemma 4 31B 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 31B | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 4 | ||
| General | 0 | 18 | ||
| All shared boards | 2 | 37 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Command A | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 49.0% | Only Gemma 4 31B measured |
| LMArena WebDev | Not measured | 1367 | Only Gemma 4 31B measured |
| AA Coding Index | 27.8 | 43.4 | Gemma 4 31B |
| 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% | 45.5% | Gemma 4 31B |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 36.4% | Gemma 4 31B |
| WeirdML | Not measured | 52.3% | Only Gemma 4 31B measured |
| ALE-Bench | Not measured | 925.5 | Only Gemma 4 31B measured |
| LMArena Text: coding | 1330 | 1459 | Gemma 4 31B |
| LMArena Text: software and IT | 1336 | 1463 | Gemma 4 31B |
| LMArena WebDev: React | Not measured | 1359 | Only Gemma 4 31B measured |
| LMArena WebDev: HTML | Not measured | 1380 | Only Gemma 4 31B measured |
| SciCode | Not measured | 8.9% | Only Gemma 4 31B measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Command A | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 14.7 | Gemma 4 31B |
| Epoch Capabilities Index | Not measured | 143.0 | Only Gemma 4 31B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Command A | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 4.2 | Gemma 4 31B |
| LiveBench research | Not measured | 44.4% | Only Gemma 4 31B measured |
| LiveBench browser | Not measured | 4.0% | Only Gemma 4 31B measured |
| LiveBench long agentic | Not measured | 13.3% | Only Gemma 4 31B measured |
| Finance Agent (Vals AI) | 9.0% | Not measured | Only Command A measured |
| τ²-Bench Telecom | 80.7% | 65.5% | Command A |
| Berkeley Function Calling Leaderboard (BFCL) | 46.5% | Not measured | Only Command A measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Command A | Gemma 4 31B | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only Command A measured |
| LiveBench reasoning | Not measured | 68.3% | Only Gemma 4 31B measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | 85.7% | Gemma 4 31B |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 23.6% | Gemma 4 31B |
| GPQA Diamond (Epoch AI run) | Not measured | 75.8% | Only Gemma 4 31B measured |
| LMArena Text: hard prompts | 1326 | 1448 | Gemma 4 31B |
| LMArena Text: expert | 1296 | 1464 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1335 | 1456 | Gemma 4 31B |
| LMArena Vision: diagrams | Not measured | 1283 | Only Gemma 4 31B measured |
| LMArena Vision: homework | Not measured | 1310 | Only Gemma 4 31B measured |
| Kagi LLM Benchmark | 28.8% | 63.5% | Gemma 4 31B |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Command A | Gemma 4 31B | 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 | 73.3% | Only Gemma 4 31B measured |
| LMArena Text: math | 1300 | 1463 | Gemma 4 31B |
| LMArena Text: mathematical work | 1312 | 1465 | Gemma 4 31B |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Command A | Gemma 4 31B | 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% | 52.6% | Command A |
| CorpFin (Vals AI) | 46.0% | Not measured | Only Command A measured |
| TaxEval (Vals AI) | 61.4% | Not measured | Only Command A measured |
| MortgageTax (Vals AI) | Not measured | 61.4% | Only Gemma 4 31B 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 |
| SimpleQA Verified | Not measured | 10.4% | Only Gemma 4 31B measured |
| LMArena Text: science | 1339 | 1457 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1334 | 1451 | Gemma 4 31B |
| LMArena Text: legal and government | 1348 | 1438 | Gemma 4 31B |
| LMArena Text: business and finance | 1315 | 1430 | Gemma 4 31B |
| FACTS Benchmark Suite | Not measured | 45.3% | Only Gemma 4 31B measured |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Command A | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench design | Not measured | 58.4% | Only Gemma 4 31B measured |
| Neither model has a result on the other 8 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Command A | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 53.3% | Only Gemma 4 31B measured |
| SAGE (Vals AI) | Not measured | 55.0% | Only Gemma 4 31B measured |
| MedScribe (Vals AI) | 55.7% | Not measured | Only Command A measured |
| IFBench | 73.9% | 75.6% | Gemma 4 31B |
| Long context reasoning (AA-LCR) | 52.7% | 69.7% | Gemma 4 31B |
| DTBench | 61.3% | 82.7% | Gemma 4 31B |
| LMCA | 10.3% | 39.3% | Gemma 4 31B |
| Surface Evolver Bench | Not measured | 30.6% | Only Gemma 4 31B measured |
| LMArena Text | 1331 | 1443 | Gemma 4 31B |
| LMArena Text: instruction following | 1309 | 1433 | Gemma 4 31B |
| LMArena Text: creative writing | 1319 | 1417 | Gemma 4 31B |
| LMArena Vision | Not measured | 1276 | Only Gemma 4 31B measured |
| LMArena Text: English | 1344 | 1451 | Gemma 4 31B |
| LMArena Text: non-English | 1313 | 1430 | Gemma 4 31B |
| LMArena Text: Chinese | 1327 | 1475 | Gemma 4 31B |
| 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 | 1436 | Gemma 4 31B |
| LMArena Text: Spanish | 1347 | 1442 | Gemma 4 31B |
| LMArena Text: Russian | 1314 | 1460 | Gemma 4 31B |
| LMArena Text: Polish | 1324 | 1433 | Gemma 4 31B |
| LMArena Text: multi-turn | 1338 | 1452 | Gemma 4 31B |
| LMArena Text: longer queries | 1334 | 1446 | Gemma 4 31B |
| LMArena Text: writing and language | 1328 | 1432 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1306 | 1405 | Gemma 4 31B |
| LMArena Vision: English | Not measured | 1271 | Only Gemma 4 31B measured |
| LMArena Vision: Chinese | Not measured | 1326 | Only Gemma 4 31B measured |
| LMArena Vision: reading text | Not measured | 1282 | Only Gemma 4 31B measured |
| LMArena Vision: humor | Not measured | 1280 | Only Gemma 4 31B measured |
| LMArena Vision: captioning | Not measured | 1218 | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | Not measured | 1226 | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | Not measured | 1285 | Only Gemma 4 31B measured |
| LMArena Document | Not measured | 1425 | Only Gemma 4 31B measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | Gemma 4 31B | 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 31B costs less
Repository review
50K input + 3K output tokens
Gemma 4 31B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 31B 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 31B |
|---|---|---|
| Maker | Cohere | |
| Weights | Open weights | Open weights |
| Released | March 13, 2025 | April 2, 2026 |
| Context window | 256K | 262K |
| Input $/Mtok | $2.50 | $0.14 |
| Output $/Mtok | $10.00 | $0.40 |
| Coding index | Not benchmarked | 39.0 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $2.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command A better than Gemma 4 31B for coding?
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Pick Command A for work measured by τ²-Bench Telecom or CaseLaw (Vals AI), where it leads.
Which is cheaper, Command A or Gemma 4 31B?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Gemma 4 31B costs $0.14 and $0.40. Cost per solved task is known for Command A only.
Which has the bigger context window, Command A or Gemma 4 31B?
Gemma 4 31B, with 262K tokens against 256K.
How many benchmarks is the Command A vs Gemma 4 31B comparison based on?
39 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 31B's on 2. Where only one model has a result, the page says so instead of naming a winner.