Command A vs Solar Pro 4
Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Command A has the edge where what matters is AA Coding Index or SciCode, where it leads.
- Shared results
- 34
- Command A only
- 26
- Solar Pro 4 only
- 11
- Like-for-like categories
- 6 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 13.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Command A has a AA Agentic Index result, 1.0.
Directional only
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
Web design
Design Arena: websites
No call
Only Solar Pro 4 has a Design Arena: websites result, 1177.
Directional only
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
Command A $0.0075, Solar Pro 4 $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, Solar Pro 4 not benchmarked.
- Widest category
- Math, 19.6 points apart on average over 2 shared benchmarks.
- Widest single gap
- AA Coding Index: Command A 27.8 against Solar Pro 4 52.7, 24.9 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against Solar Pro 4 $0.60 per million output tokens, 16.7x apart.
- Context window
- Command A takes 256K tokens, Solar Pro 4 524K.
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 | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 2 | 16 | ||
| All shared boards | 2 | 32 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Command A | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1371 | Only Solar Pro 4 measured |
| AA Coding Index | 27.8 | 52.7 | Solar Pro 4 |
| 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% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Command A measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | 1330 | 1438 | Solar Pro 4 |
| LMArena Text: software and IT | 1336 | 1431 | Solar Pro 4 |
| LMArena WebDev: React | Not measured | 1363 | Only Solar Pro 4 measured |
| LMArena WebDev: HTML | Not measured | 1371 | Only Solar Pro 4 measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Command A | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 28.2 | Solar Pro 4 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Command A | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Command A measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| Finance Agent (Vals AI) | 9.0% | Not measured | Only Command A measured |
| τ²-Bench Telecom | 80.7% | Not measured | Only Command A measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Command A | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only Command A measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 29.8% | Solar Pro 4 |
| LMArena Text: hard prompts | 1326 | 1400 | Solar Pro 4 |
| LMArena Text: expert | 1296 | 1428 | Solar Pro 4 |
| LMArena Text: hard prompts in English | 1335 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Command A | Solar Pro 4 | 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 |
| LMArena Text: math | 1300 | 1421 | Solar Pro 4 |
| LMArena Text: mathematical work | 1312 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Command A | Solar Pro 4 | 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 | 1404 | Solar Pro 4 |
| LMArena Text: medicine and healthcare | 1334 | 1374 | Solar Pro 4 |
| LMArena Text: legal and government | 1348 | 1383 | Solar Pro 4 |
| LMArena Text: business and finance | 1315 | 1381 | Solar Pro 4 |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Command A | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1177 | Only Solar Pro 4 measured |
| Design Arena: UI components | Not measured | 1150 | Only Solar Pro 4 measured |
| Design Arena: game dev | Not measured | 1170 | Only Solar Pro 4 measured |
| Design Arena: data viz | Not measured | 1177 | Only Solar Pro 4 measured |
| Design Arena: 3D | Not measured | 1178 | Only Solar Pro 4 measured |
| Design Arena: all code categories | Not measured | 1182 | Only Solar Pro 4 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index216
| Benchmark | Command A | Solar Pro 4 | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | 55.7% | Not measured | Only Command A measured |
| IFBench | 73.9% | Not measured | Only Command A measured |
| Long context reasoning (AA-LCR) | 52.7% | 70.7% | Solar Pro 4 |
| DTBench | 61.3% | Not measured | Only Command A measured |
| LMCA | 10.3% | Not measured | Only Command A measured |
| LMArena Text | 1331 | 1388 | Solar Pro 4 |
| LMArena Text: instruction following | 1309 | 1375 | Solar Pro 4 |
| LMArena Text: creative writing | 1319 | 1317 | Command A |
| LMArena Text: English | 1344 | 1414 | Solar Pro 4 |
| LMArena Text: non-English | 1313 | 1363 | Solar Pro 4 |
| LMArena Text: Chinese | 1327 | 1422 | Solar Pro 4 |
| LMArena Text: German | 1342 | 1358 | Solar Pro 4 |
| LMArena Text: Japanese | 1285 | 1320 | Solar Pro 4 |
| LMArena Text: Korean | 1285 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1351 | 1400 | Solar Pro 4 |
| LMArena Text: Spanish | 1347 | 1409 | Solar Pro 4 |
| LMArena Text: Russian | 1314 | 1357 | Solar Pro 4 |
| LMArena Text: Polish | 1324 | 1304 | Command A |
| LMArena Text: multi-turn | 1338 | 1385 | Solar Pro 4 |
| LMArena Text: longer queries | 1334 | 1382 | Solar Pro 4 |
| LMArena Text: writing and language | 1328 | 1344 | Solar Pro 4 |
| LMArena Text: entertainment and media | 1306 | 1332 | Solar Pro 4 |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | Solar Pro 4 | 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
Solar Pro 4 costs less
Repository review
50K input + 3K output tokens
Solar Pro 4 costs less
Agent loop
200K input + 10K output tokens
Solar Pro 4 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 | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Cohere | Upstage |
| Weights | Open weights | No public weights listed |
| Released | March 13, 2025 | August 10, 2026 |
| Context window | 256K | 524K |
| 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 Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Command A has the edge where what matters is AA Coding Index or SciCode, where it leads.
Which is cheaper, Command A or Solar Pro 4?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Solar Pro 4 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 Solar Pro 4?
Solar Pro 4, with 524K tokens against 256K.
How many benchmarks is the Command A vs Solar Pro 4 comparison based on?
34 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.