Command A vs Hy3
Hy3 costs 18.9x less per output token than Command A ($0.528 vs $10.00 per million). Updated October 22, 2026; 32 benchmarks have a result for both.
Command A or Hy3: 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 SciCode or LMArena Text: coding, where it leads.
- Shared results
- 32
- Command A only
- 30
- Hy3 only
- 12
- Like-for-like categories
- 5 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
No call
Only Command A has a AA Intelligence Index result, 13.1.
Directional only
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 Hy3 has a Design Arena: websites result, 1230.
Directional only
Long documents
Listed context window
Hy3
Hy3 takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Command A $0.0075, Hy3 $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, Hy3 not benchmarked.
- Widest category
- Math, 28.6 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: math: Command A 1300 against Hy3 1473, 28.8 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against Hy3 $0.528 per million output tokens, 18.9x apart.
- Context window
- Command A takes 256K tokens, Hy3 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 | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 18 | ||
| All shared boards | 0 | 32 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Command A | Hy3 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1507 | Only Hy3 measured |
| AA Coding Index | 27.8 | Not measured | Only Command A measured |
| 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% | 48.6% | Hy3 |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Command A measured |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1330 | 1466 | Hy3 |
| LMArena Text: software and IT | 1336 | 1463 | Hy3 |
| LMArena WebDev: React | Not measured | 1511 | Only Hy3 measured |
| LMArena WebDev: HTML | Not measured | 1487 | Only Hy3 measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Command A | Hy3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | Not measured | Only Command A measured |
| 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 | Hy3 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Command A measured |
| Finance Agent (Vals AI) | 9.0% | Not measured | Only Command A measured |
| τ²-Bench Telecom | 80.7% | Not measured | Only Command A measured |
| Berkeley Function Calling Leaderboard (BFCL) | 46.5% | Not measured | Only Command A measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Command A | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only Command A measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | 89.7% | Hy3 |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 33.5% | Hy3 |
| LMArena Text: hard prompts | 1326 | 1447 | Hy3 |
| LMArena Text: expert | 1296 | 1461 | Hy3 |
| LMArena Text: hard prompts in English | 1335 | 1455 | Hy3 |
| Kagi LLM Benchmark | 28.8% | Not measured | Only Command A measured |
| 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 | Hy3 | 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 | 1473 | Hy3 |
| LMArena Text: mathematical work | 1312 | 1482 | Hy3 |
| 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 | Hy3 | 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 | 1457 | Hy3 |
| LMArena Text: medicine and healthcare | 1334 | 1452 | Hy3 |
| LMArena Text: legal and government | 1348 | 1422 | Hy3 |
| LMArena Text: business and finance | 1315 | 1424 | Hy3 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Command A | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1230 | Only Hy3 measured |
| Design Arena: UI components | Not measured | 1204 | Only Hy3 measured |
| Design Arena: game dev | Not measured | 1208 | Only Hy3 measured |
| Design Arena: data viz | Not measured | 1164 | Only Hy3 measured |
| Design Arena: 3D | Not measured | 1232 | Only Hy3 measured |
| Design Arena: all code categories | Not measured | 1227 | Only Hy3 measured |
| Design Arena: SVG | Not measured | 1200 | Only Hy3 measured |
| Design Arena: ASCII art | Not measured | 1152 | Only Hy3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Command A | Hy3 | 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% | 79.0% | Hy3 |
| DTBench | 61.3% | Not measured | Only Command A measured |
| LMCA | 10.3% | Not measured | Only Command A measured |
| LMArena Text | 1331 | 1438 | Hy3 |
| LMArena Text: instruction following | 1309 | 1426 | Hy3 |
| LMArena Text: creative writing | 1319 | 1403 | Hy3 |
| LMArena Text: English | 1344 | 1448 | Hy3 |
| LMArena Text: non-English | 1313 | 1426 | Hy3 |
| LMArena Text: Chinese | 1327 | 1485 | Hy3 |
| LMArena Text: German | 1342 | 1449 | Hy3 |
| LMArena Text: Japanese | 1285 | 1397 | Hy3 |
| LMArena Text: Korean | 1285 | 1396 | Hy3 |
| LMArena Text: French | 1351 | 1456 | Hy3 |
| LMArena Text: Spanish | 1347 | 1457 | Hy3 |
| LMArena Text: Russian | 1314 | 1432 | Hy3 |
| LMArena Text: Polish | 1324 | 1447 | Hy3 |
| LMArena Text: multi-turn | 1338 | 1436 | Hy3 |
| LMArena Text: longer queries | 1334 | 1442 | Hy3 |
| LMArena Text: writing and language | 1328 | 1414 | Hy3 |
| LMArena Text: entertainment and media | 1306 | 1400 | Hy3 |
| 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 | Hy3 | 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
Hy3 costs less
Repository review
50K input + 3K output tokens
Hy3 costs less
Agent loop
200K input + 10K output tokens
Hy3 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 | Tencent Hy3 |
|---|---|---|
| Maker | Cohere | Tencent |
| Weights | Open weights | Open weights |
| Released | March 13, 2025 | July 6, 2026 |
| Context window | 256K | 262K |
| Input $/Mtok | $2.50 | $0.132 |
| Output $/Mtok | $10.00 | $0.528 |
| 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 Hy3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command A for work measured by SciCode or LMArena Text: coding, where it leads.
Which is cheaper, Command A or Hy3?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for Command A only.
Which has the bigger context window, Command A or Hy3?
Hy3, with 262K tokens against 256K.
How many benchmarks is the Command A vs Hy3 comparison based on?
32 benchmarks have a result for both models as of October 22, 2026. Command A's coding index rests on 1 independent benchmark and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.