Command A vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads Command A on the Artificial Analysis Intelligence Index, 24.7 to 13.1, and DeepSeek V4.1 Flash costs 12.8x less per output token ($0.78 vs $10.00 per million). Updated October 21, 2026; 39 benchmarks have a result for both.
Command A or DeepSeek V4.1 Flash: which to pick
Only DeepSeek V4.1 Flash has a coding score, 62.5 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 39
- Command A only
- 21
- DeepSeek V4.1 Flash only
- 62
- 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 DeepSeek V4.1 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 24.7 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 DeepSeek V4.1 Flash has a Design Arena: websites result, 1309.
Directional only
Long documents
Listed context window
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash takes 1.05M tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash
Command A $0.0075, DeepSeek V4.1 Flash $0.0006 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, DeepSeek V4.1 Flash 62.5 from 5 benchmarks.
- Widest category
- Agentic work, 44.4 points apart on average over 1 shared benchmark.
- Widest single gap
- Terminal-Bench 2.1 (Vals AI): Command A 17.6% against DeepSeek V4.1 Flash 74.5%, 56.9 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against DeepSeek V4.1 Flash $0.78 per million output tokens, 12.8x apart.
- Context window
- Command A takes 256K tokens, DeepSeek V4.1 Flash 1.05M.
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 | DeepSeek V4.1 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 6 | ||
| General | 0 | 21 | ||
| All shared boards | 0 | 39 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Command A | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 90.2% | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev | Not measured | 1618 | Only DeepSeek V4.1 Flash 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 4 (Vals AI) | Not measured | 19.7% | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench (Vals AI) | Not measured | 84.7% | Only DeepSeek V4.1 Flash measured |
| Code migration (Vals AI) | Not measured | 45.6% | Only DeepSeek V4.1 Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only DeepSeek V4.1 Flash measured |
| IOI (Vals AI) | Not measured | 40.3% | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 17.6% | 74.5% | DeepSeek V4.1 Flash |
| SWE-bench Multimodal (Vals AI) | Not measured | 46.5% | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 16.4% | Only DeepSeek V4.1 Flash measured |
| SkillsBench (Vals AI) | Not measured | 69.8% | Only DeepSeek V4.1 Flash measured |
| CyberBench (Vals AI) | Not measured | 73.7% | Only DeepSeek V4.1 Flash measured |
| LiveCodeBench (Artificial Analysis run) | 28.7% | Not measured | Only Command A measured |
| SciCode | 38.5% | 51.9% | DeepSeek V4.1 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Command A measured |
| FrontierCode | Not measured | 43.9% | Only DeepSeek V4.1 Flash measured |
| ALE-Bench | Not measured | 1092.3 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: coding | 1330 | 1502 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1336 | 1496 | DeepSeek V4.1 Flash |
| LMArena WebDev: React | Not measured | 1628 | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: HTML | Not measured | 1612 | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: from an image | Not measured | 1606 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Command A | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 24.7 | DeepSeek V4.1 Flash |
| Epoch Capabilities Index | Not measured | 155.9 | Only DeepSeek V4.1 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Command A | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Command A measured |
| LiveBench research | Not measured | 86.8% | Only DeepSeek V4.1 Flash measured |
| LiveBench browser | Not measured | 84.0% | Only DeepSeek V4.1 Flash measured |
| LiveBench long agentic | Not measured | 40.1% | Only DeepSeek V4.1 Flash measured |
| SREBench (Vals AI) | Not measured | 0.8% | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | 9.0% | 53.5% | DeepSeek V4.1 Flash |
| Tax Agent Bench (Vals AI) | Not measured | 26.6% | Only DeepSeek V4.1 Flash measured |
| Legal Research Bench (Vals AI) | Not measured | 41.4% | Only DeepSeek V4.1 Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.2% | Only DeepSeek V4.1 Flash measured |
| BioMysteryBench (Vals AI) | Not measured | 67.8% | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 0.0% | Only DeepSeek V4.1 Flash measured |
| Vals Science Index | Not measured | 29.6% | Only DeepSeek V4.1 Flash measured |
| τ²-Bench Telecom | 80.7% | Not measured | Only Command A measured |
| APEX-Agents | Not measured | 39.5% | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Command A | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only Command A measured |
| LiveBench reasoning | Not measured | 86.7% | Only DeepSeek V4.1 Flash measured |
| MysteryMechanism (Vals AI) | Not measured | 21.2% | Only DeepSeek V4.1 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | Not measured | Only Command A measured |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 39.2% | DeepSeek V4.1 Flash |
| GPQA Diamond (Epoch AI run) | Not measured | 89.8% | Only DeepSeek V4.1 Flash measured |
| ARC-AGI | Not measured | 94.5% | Only DeepSeek V4.1 Flash measured |
| ARC-AGI-2 | Not measured | 72.9% | Only DeepSeek V4.1 Flash measured |
| Chess puzzles | Not measured | 48.0% | Only DeepSeek V4.1 Flash measured |
| Mystery game puzzles | Not measured | 43.0% | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts | 1326 | 1483 | DeepSeek V4.1 Flash |
| LMArena Text: expert | 1296 | 1501 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1335 | 1488 | DeepSeek V4.1 Flash |
| LMArena Vision: diagrams | Not measured | 1297 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: homework | Not measured | 1307 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Command A | DeepSeek V4.1 Flash | 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 | 98.3% | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tiers 1 to 3 | Not measured | 67.4% | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only DeepSeek V4.1 Flash measured |
| ProofBench | Not measured | 54.0% | Only DeepSeek V4.1 Flash measured |
| LMArena Text: math | 1300 | 1478 | DeepSeek V4.1 Flash |
| LMArena Text: mathematical work | 1312 | 1485 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Command A | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| MMLU Pro | 69.2% | Not measured | Only Command A measured |
| LegalBench (Vals AI) | 79.7% | 83.3% | DeepSeek V4.1 Flash |
| 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% | 41.2% | DeepSeek V4.1 Flash |
| MMLU Pro (Artificial Analysis run) | 71.2% | Not measured | Only Command A measured |
| SimpleQA Verified | Not measured | 42.9% | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1339 | 1469 | DeepSeek V4.1 Flash |
| LMArena Text: medicine and healthcare | 1334 | 1484 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1348 | 1443 | DeepSeek V4.1 Flash |
| LMArena Text: business and finance | 1315 | 1461 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Command A | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1309 | Only DeepSeek V4.1 Flash measured |
| Design Arena: UI components | Not measured | 1315 | Only DeepSeek V4.1 Flash measured |
| Design Arena: game dev | Not measured | 1330 | Only DeepSeek V4.1 Flash measured |
| Design Arena: data viz | Not measured | 1290 | Only DeepSeek V4.1 Flash measured |
| Design Arena: 3D | Not measured | 1356 | Only DeepSeek V4.1 Flash measured |
| Design Arena: all code categories | Not measured | 1320 | Only DeepSeek V4.1 Flash measured |
| Design Arena: SVG | Not measured | 1244 | Only DeepSeek V4.1 Flash measured |
| Design Arena: ASCII art | Not measured | 1265 | Only DeepSeek V4.1 Flash measured |
| LiveBench design | Not measured | 79.2% | Only DeepSeek V4.1 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
| Benchmark | Command A | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 79.3% | Only DeepSeek V4.1 Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 64.3% | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | Not measured | 47.9% | Only DeepSeek V4.1 Flash measured |
| MedScribe (Vals AI) | 55.7% | 85.5% | DeepSeek V4.1 Flash |
| IFBench | 73.9% | Not measured | Only Command A measured |
| Long context reasoning (AA-LCR) | 52.7% | 84.0% | DeepSeek V4.1 Flash |
| DTBench | 61.3% | 89.9% | DeepSeek V4.1 Flash |
| LMCA | 10.3% | 47.0% | DeepSeek V4.1 Flash |
| Surface Evolver Bench | Not measured | 46.3% | Only DeepSeek V4.1 Flash measured |
| Furniture assembly | Not measured | 34.2% | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1331 | 1464 | DeepSeek V4.1 Flash |
| LMArena Text: instruction following | 1309 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: creative writing | 1319 | 1437 | DeepSeek V4.1 Flash |
| LMArena Vision | Not measured | 1278 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | 1344 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: non-English | 1313 | 1449 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1327 | 1501 | DeepSeek V4.1 Flash |
| LMArena Text: German | 1342 | 1470 | DeepSeek V4.1 Flash |
| LMArena Text: Japanese | 1285 | 1432 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1285 | 1436 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1351 | 1465 | DeepSeek V4.1 Flash |
| LMArena Text: Spanish | 1347 | 1459 | DeepSeek V4.1 Flash |
| LMArena Text: Russian | 1314 | 1467 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1324 | 1457 | DeepSeek V4.1 Flash |
| LMArena Text: multi-turn | 1338 | 1461 | DeepSeek V4.1 Flash |
| LMArena Text: longer queries | 1334 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: writing and language | 1328 | 1450 | DeepSeek V4.1 Flash |
| LMArena Text: entertainment and media | 1306 | 1445 | DeepSeek V4.1 Flash |
| LMArena Vision: English | Not measured | 1288 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: Chinese | Not measured | 1327 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: reading text | Not measured | 1282 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: humor | Not measured | 1260 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: creative writing | Not measured | 1275 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | DeepSeek V4.1 Flash | 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
DeepSeek V4.1 Flash costs less
Repository review
50K input + 3K output tokens
DeepSeek V4.1 Flash costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4.1 Flash 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 | DeepSeek V4.1 Flash |
|---|---|---|
| Maker | Cohere | DeepSeek |
| Weights | Open weights | Open weights |
| Released | March 13, 2025 | September 10, 2026 |
| Context window | 256K | 1.05M |
| Input $/Mtok | $2.50 | $0.21 |
| Output $/Mtok | $10.00 | $0.78 |
| Coding index | Not benchmarked | 62.5 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | $2.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command A better than DeepSeek V4.1 Flash for coding?
Only DeepSeek V4.1 Flash has a coding score, 62.5 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Command A or DeepSeek V4.1 Flash?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; DeepSeek V4.1 Flash costs $0.21 and $0.78. Cost per solved task is known for Command A only.
Which has the bigger context window, Command A or DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash, with 1.05M tokens against 256K.
How many benchmarks is the Command A vs DeepSeek V4.1 Flash 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 DeepSeek V4.1 Flash's on 5. Where only one model has a result, the page says so instead of naming a winner.