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Command A vs gpt-oss-20b

Command A leads gpt-oss-20b on the Artificial Analysis Intelligence Index, 13.1 to 10.0, and gpt-oss-20b costs 66.7x less per output token ($0.15 vs $10.00 per million). Updated October 21, 2026; 52 benchmarks have a result for both.

Replace Command A Replace gpt-oss-20b
Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
35
gpt-oss-20bOpenAI
Coding
No data
Overall
10.0
Output $/M
$0.15
17
vs boards won of 52 shared

Command A or gpt-oss-20b: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Command A for a larger context window (256K against 131K tokens) and work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved taskModel Bgpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
52
Command A only
8
gpt-oss-20b only
8
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.

At a glance

Coding index
Command A not benchmarked, gpt-oss-20b not benchmarked.
Widest category
Math, 35.8 points apart on average over 7 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): Command A 13.0% against gpt-oss-20b 89.3%, 76.3 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against gpt-oss-20b $0.15 per million output tokens, 66.7x apart.
Context window
Command A takes 256K tokens, gpt-oss-20b 131K.

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 ABarsgpt-oss-20bTies
Coding33
Intelligence10
Agentic work10
Reasoning51
Math16
Knowledge65
General182
All shared boards3517
CodingLike-for-likeSix of these boards feed the Vibe Coding Index33
Coding benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
AA Coding Index27.8Not measuredOnly Command A measured
LiveCodeBench (Vals AI)35.1%80.4%gpt-oss-20b
SWE-bench Verified (Vals AI)7.8%Not measuredOnly Command A measured
Terminal-Bench 2.1 (Vals AI)17.6%Not measuredOnly Command A measured
LiveCodeBench (Artificial Analysis run)28.7%77.7%gpt-oss-20b
SciCode38.5%38.9%gpt-oss-20b
Terminal-Bench Hard (Artificial Analysis run)25.0%10.6%Command A
Terminal-BenchNot measured3.4%Only gpt-oss-20b measured
WeirdMLNot measured40.9%Only gpt-oss-20b measured
ALE-BenchNot measured566.0Only gpt-oss-20b measured
LMArena Text: coding13301307Command A
LMArena Text: software and IT13361311Command A
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
AA Intelligence Index13.110.0Command A
Epoch Capabilities IndexNot measured137.7Only gpt-oss-20b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
AA Agentic Index1.0Not measuredOnly Command A measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%60.2%Command A
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
GPQA Diamond48.5%68.9%gpt-oss-20b
GPQA Diamond (Artificial Analysis run)76.1%68.8%Command A
Humanity's Last Exam (Artificial Analysis run)12.0%11.0%Command A
GPQA Diamond (Epoch AI run)Not measured60.8%Only gpt-oss-20b measured
LMArena Text: hard prompts13261274Command A
LMArena Text: expert12961258Command A
LMArena Text: hard prompts in English13351292Command A
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index16
Math benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
AIME13.3%86.0%gpt-oss-20b
MATH 500 (Vals AI)76.2%94.2%gpt-oss-20b
MGSM (Vals AI)85.7%89.0%gpt-oss-20b
AA Math Index13.089.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)13.0%89.3%gpt-oss-20b
OTIS Mock AIMENot measured65.3%Only gpt-oss-20b measured
LMArena Text: math13001317gpt-oss-20b
LMArena Text: mathematical work13121305Command A
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index65
Knowledge benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
MMLU Pro69.2%71.6%gpt-oss-20b
LegalBench (Vals AI)79.7%70.8%Command A
CaseLaw (Vals AI)64.5%43.8%Command A
CorpFin (Vals AI)46.0%53.1%gpt-oss-20b
TaxEval (Vals AI)61.4%63.7%gpt-oss-20b
MedQA (Vals AI)80.5%82.9%gpt-oss-20b
MedCode (Vals AI)19.7%Not measuredOnly Command A measured
MMLU Pro (Artificial Analysis run)71.2%74.8%gpt-oss-20b
LMArena Text: science13391296Command A
LMArena Text: medicine and healthcare13341310Command A
LMArena Text: legal and government13481280Command A
LMArena Text: business and finance13151284Command A
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Web design benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
Design Arena: websitesNot measured852Only gpt-oss-20b measured
Design Arena: data vizNot measured933Only gpt-oss-20b measured
Neither model has a result on the other 7 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
MedScribe (Vals AI)55.7%Not measuredOnly Command A measured
IFBench73.9%65.1%Command A
Long context reasoning (AA-LCR)52.7%34.7%Command A
DTBench61.3%68.0%gpt-oss-20b
LMCA10.3%14.5%gpt-oss-20b
LMArena Text13311288Command A
LMArena Text: instruction following13091236Command A
LMArena Text: creative writing13191201Command A
LMArena Text: English13441303Command A
LMArena Text: non-English13131269Command A
LMArena Text: Chinese13271315Command A
LMArena Text: German13421255Command A
LMArena Text: Japanese12851244Command A
LMArena Text: Korean12851236Command A
LMArena Text: French1351Not measuredOnly Command A measured
LMArena Text: Spanish13471267Command A
LMArena Text: Russian13141278Command A
LMArena Text: Polish13241252Command A
LMArena Text: multi-turn13381268Command A
LMArena Text: longer queries13341250Command A
LMArena Text: writing and language13281238Command A
LMArena Text: entertainment and media13061216Command A
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
Image generation benchmarks for Command A and gpt-oss-20b
BenchmarkCommand Agpt-oss-20bLeader
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
gpt-oss-20b$0.0001Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
gpt-oss-20b$0.0019Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
gpt-oss-20b$0.0075Exceeds the context window

gpt-oss-20b 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 gpt-oss-20b
SpecificationCohere Command AOpenAI gpt-oss-20b
MakerCohereOpenAI
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025August 5, 2025
Context window256K131K
Input $/Mtok$2.50$0.03
Output $/Mtok$10.00$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$2.69Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than gpt-oss-20b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command A for a larger context window (256K against 131K tokens) and work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Command A or gpt-oss-20b?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; gpt-oss-20b costs $0.03 and $0.15. Cost per solved task is known for Command A only.

Which has the bigger context window, Command A or gpt-oss-20b?

Command A, with 256K tokens against 131K.

How many benchmarks is the Command A vs gpt-oss-20b comparison based on?

52 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and gpt-oss-20b's on 0. Where only one model has a result, the page says so instead of naming a winner.

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