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Command A vs DeepSeek V4 Pro 0813

Updated October 21, 2026. 45 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Command A Replace DeepSeek V4 Pro 0813
Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
0
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
36.0
Output $/M
$1.98
45
vs boards won of 45 shared

Decision reading

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 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.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved taskModel BDeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved task
Shared results
45
Command A only
15
DeepSeek V4 Pro 0813 only
33
Like-for-like categories
7 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.

At a glance

Coding index
Command A not benchmarked, DeepSeek V4 Pro 0813 56.1 from 5 benchmarks.
Widest category
Agentic work, 40.8 points apart on average over 2 shared benchmarks.
Widest single gap
SWE-bench Verified (Vals AI): Command A 7.8% against DeepSeek V4 Pro 0813 96.4%, 88.6 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against DeepSeek V4 Pro 0813 $1.98 per million output tokens, 5.1x apart.
Context window
Command A takes 256K tokens, DeepSeek V4 Pro 0813 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.

Boards won, where both have a result
CategoryCommand ABarsDeepSeek V4 Pro 0813Ties
Coding07
Intelligence01
Agentic work02
Reasoning06
Math02
Knowledge09
General018
All shared boards045
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
LMArena WebDevNot measured1582Only DeepSeek V4 Pro 0813 measured
AA Coding Index27.868.8DeepSeek V4 Pro 0813
LiveCodeBench (Vals AI)35.1%87.5%DeepSeek V4 Pro 0813
SWE-bench Verified (Vals AI)7.8%96.4%DeepSeek V4 Pro 0813
Terminal-Bench 4 (Vals AI)Not measured14.1%Only DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)Not measured82.3%Only DeepSeek V4 Pro 0813 measured
Code migration (Vals AI)Not measured41.5%Only DeepSeek V4 Pro 0813 measured
ProgramBench (Vals AI)Not measured0.0%Only DeepSeek V4 Pro 0813 measured
IOI (Vals AI)Not measured51.6%Only DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)17.6%54.7%DeepSeek V4 Pro 0813
Vibe Code Bench 1-100 (Vals AI)Not measured17.5%Only DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)Not measured53.8%Only DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)Not measured72.9%Only DeepSeek V4 Pro 0813 measured
LiveCodeBench (Artificial Analysis run)28.7%Not measuredOnly Command A measured
SciCode38.5%51.0%DeepSeek V4 Pro 0813
Terminal-Bench Hard (Artificial Analysis run)25.0%Not measuredOnly Command A measured
FrontierCodeNot measured28.5%Only DeepSeek V4 Pro 0813 measured
WeirdMLNot measured66.2%Only DeepSeek V4 Pro 0813 measured
ALE-BenchNot measured1403.2Only DeepSeek V4 Pro 0813 measured
LMArena Text: coding13301469DeepSeek V4 Pro 0813
LMArena Text: software and IT13361462DeepSeek V4 Pro 0813
LMArena WebDev: ReactNot measured1588Only DeepSeek V4 Pro 0813 measured
LMArena WebDev: HTMLNot measured1566Only DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
AA Intelligence Index13.136.0DeepSeek V4 Pro 0813
Epoch Capabilities IndexNot measured155.6Only DeepSeek V4 Pro 0813 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
AA Agentic Index1.041.3DeepSeek V4 Pro 0813
SREBench (Vals AI)Not measured1.9%Only DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)9.0%50.4%DeepSeek V4 Pro 0813
Tax Agent Bench (Vals AI)Not measured26.8%Only DeepSeek V4 Pro 0813 measured
Legal Research Bench (Vals AI)Not measured40.9%Only DeepSeek V4 Pro 0813 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.8%Only DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)Not measured52.8%Only DeepSeek V4 Pro 0813 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only DeepSeek V4 Pro 0813 measured
τ²-Bench Telecom80.7%Not measuredOnly Command A measured
APEX-AgentsNot measured47.3%Only DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
GPQA Diamond48.5%92.4%DeepSeek V4 Pro 0813
GPQA Diamond (Artificial Analysis run)76.1%92.8%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)12.0%41.0%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)Not measured91.7%Only DeepSeek V4 Pro 0813 measured
ARC-AGINot measured90.5%Only DeepSeek V4 Pro 0813 measured
ARC-AGI-2Not measured61.3%Only DeepSeek V4 Pro 0813 measured
Chess puzzlesNot measured46.0%Only DeepSeek V4 Pro 0813 measured
Mystery game puzzlesNot measured43.0%Only DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts13261458DeepSeek V4 Pro 0813
LMArena Text: expert12961459DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English13351463DeepSeek V4 Pro 0813
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
AIME13.3%Not measuredOnly Command A measured
MATH 500 (Vals AI)76.2%Not measuredOnly Command A measured
MGSM (Vals AI)85.7%Not measuredOnly Command A measured
AA Math Index13.0Not measuredOnly Command A measured
AIME 2025 (Artificial Analysis run)13.0%Not measuredOnly Command A measured
OTIS Mock AIMENot measured98.6%Only DeepSeek V4 Pro 0813 measured
FrontierMath, tiers 1 to 3Not measured64.6%Only DeepSeek V4 Pro 0813 measured
FrontierMath, tier 4Not measured26.8%Only DeepSeek V4 Pro 0813 measured
ProofBenchNot measured50.0%Only DeepSeek V4 Pro 0813 measured
LMArena Text: math13001441DeepSeek V4 Pro 0813
LMArena Text: mathematical work13121443DeepSeek V4 Pro 0813
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
MMLU Pro69.2%87.0%DeepSeek V4 Pro 0813
LegalBench (Vals AI)79.7%82.4%DeepSeek V4 Pro 0813
CaseLaw (Vals AI)64.5%Not measuredOnly Command A measured
CorpFin (Vals AI)46.0%65.4%DeepSeek V4 Pro 0813
TaxEval (Vals AI)61.4%73.1%DeepSeek V4 Pro 0813
MedQA (Vals AI)80.5%Not measuredOnly Command A measured
MedCode (Vals AI)19.7%42.5%DeepSeek V4 Pro 0813
MMLU Pro (Artificial Analysis run)71.2%Not measuredOnly Command A measured
SimpleQA VerifiedNot measured52.9%Only DeepSeek V4 Pro 0813 measured
LMArena Text: science13391457DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare13341446DeepSeek V4 Pro 0813
LMArena Text: legal and government13481459DeepSeek V4 Pro 0813
LMArena Text: business and finance13151442DeepSeek V4 Pro 0813
Neither model has a result on the other 4 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
Vals IndexNot measured53.0%Only DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)55.7%80.2%DeepSeek V4 Pro 0813
IFBench73.9%Not measuredOnly Command A measured
Long context reasoning (AA-LCR)52.7%80.3%DeepSeek V4 Pro 0813
DTBench61.3%93.9%DeepSeek V4 Pro 0813
LMCA10.3%45.5%DeepSeek V4 Pro 0813
LMArena Text13311446DeepSeek V4 Pro 0813
LMArena Text: instruction following13091448DeepSeek V4 Pro 0813
LMArena Text: creative writing13191439DeepSeek V4 Pro 0813
LMArena Text: English13441457DeepSeek V4 Pro 0813
LMArena Text: non-English13131431DeepSeek V4 Pro 0813
LMArena Text: Chinese13271481DeepSeek V4 Pro 0813
LMArena Text: German1342Not measuredOnly Command A measured
LMArena Text: Japanese1285Not measuredOnly Command A measured
LMArena Text: Korean12851449DeepSeek V4 Pro 0813
LMArena Text: French13511446DeepSeek V4 Pro 0813
LMArena Text: Spanish13471435DeepSeek V4 Pro 0813
LMArena Text: Russian13141448DeepSeek V4 Pro 0813
LMArena Text: Polish1324Not measuredOnly Command A measured
LMArena Text: multi-turn13381454DeepSeek V4 Pro 0813
LMArena Text: longer queries13341458DeepSeek V4 Pro 0813
LMArena Text: writing and language13281443DeepSeek V4 Pro 0813
LMArena Text: entertainment and media13061424DeepSeek V4 Pro 0813
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A and DeepSeek V4 Pro 0813
BenchmarkCommand ADeepSeek V4 Pro 0813Leader
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

Command A$0.0075Fits in one request
DeepSeek V4 Pro 0813$0.0016Fits in one request

DeepSeek V4 Pro 0813 costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
DeepSeek V4 Pro 0813$0.039Fits in one request

DeepSeek V4 Pro 0813 costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
DeepSeek V4 Pro 0813$0.152Fits in one request

DeepSeek V4 Pro 0813 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.

Specifications of Command A and DeepSeek V4 Pro 0813
SpecificationCohere Command ADeepSeek V4 Pro 0813
MakerCohereDeepSeek
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025August 12, 2026
Context window256K1.05M
Input $/Mtok$2.50$0.66
Output $/Mtok$10.00$1.98
Coding indexNot benchmarked56.1
Independent measurements behind it15
Cost per solved task$2.69$0.10
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than DeepSeek V4 Pro 0813 for coding?

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 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 Pro 0813?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; DeepSeek V4 Pro 0813 costs $0.66 and $1.98. Per solved SWE-bench Verified task, Command A costs $2.69 and DeepSeek V4 Pro 0813 $0.10.

Which has the bigger context window, Command A or DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813, with 1.05M tokens against 256K.

How many benchmarks is the Command A vs DeepSeek V4 Pro 0813 comparison based on?

45 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 Pro 0813's on 5. Where only one model has a result, the page says so instead of naming a winner.

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