Model comparison

Command A vs GPT-5.2

GPT-5.2 is the stronger model overall, scoring 54.1 to 35.9 on the Noometry Index.

Last verified . 23 shared benchmarks.

Command A Cohere

35.9

Rank #212 Confirmed

GPT-5.2 OpenAI

54.1

Rank #31 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Command A scores higher in 0 categories and GPT-5.2 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.2 leads 50.1 to 17.7.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for Command A and 73.3% for GPT-5.2.
  • Command A is cheaper at $2.50 / $10 per million input/output tokens, against $1.75 / $14 for GPT-5.2.
  • GPT-5.2 accepts more context: 400K tokens versus 256K.
  • Command A has downloadable open weights; the other is API-only.

Side by side

Command A and GPT-5.2 specifications
Command AGPT-5.2
ProviderCohereOpenAI
Noometry Index35.954.1
Released2025-03-132025-12-11
WeightsOpenProprietary
Context window256K400K
Max output8K128K
Input $ / M tokens$2.50$1.75
Output $ / M tokens$10$14
Results tracked2467

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Category by category

Coding GPT-5.2 leads

Command A: 26.8 (#317), GPT-5.2: 52.2 (#32)

Coding benchmarks
BenchmarkCommand AGPT-5.2
LMArena Coding13311447
SWE-bench Verified—73.8%
SWE-bench Verified (bash only)—72.8%
Aider Polyglot12%—
LMArena WebDev—1415
SWE-bench Multilingual—66.7%
GSO—27.4%
WeirdML—72.2%
ALE-Bench—1,294
AlgoTune—2.05

Agentic & Tool Use GPT-5.2 leads

Command A: 35.7 (#36), GPT-5.2: 40.0 (#24)

Agentic & Tool Use benchmarks
BenchmarkCommand AGPT-5.2
Berkeley Function Calling Leaderboard57.1%55.9%
Terminal-Bench—64.9%
GDPval—49.7%
Remote Labor Index—2.5%
τ²-bench Airline—83%
τ²-bench Banking—32.2%
τ²-bench Retail—81.6%
τ²-bench Telecom—89.7%
DeepResearch Bench—41.1%
LMArena Search—1207
METR Time Horizons—75.3%
Vending-Bench 2—3,591

Reasoning GPT-5.2 leads

Command A: 17.7 (#276), GPT-5.2: 50.1 (#33)

Reasoning benchmarks
BenchmarkCommand AGPT-5.2
Kagi LLM Benchmark28.8%73.3%
LMArena Hard Prompts13261445
DTBench61.3%90.9%
LMCA10.3%43.9%
ARC-AGI-2—52.9%
SimpleBench—45.8%
NYT Connections (extended)—83.6%
ARC-AGI-1—86.2%
Chess Puzzles—49%
EnigmaEval—10.4%
EBR-Bench—23%
Mystery Game Puzzles—23%
Epoch Capabilities Index—153.45
ForecastBench—60.1

Math GPT-5.2 leads

Command A: 33.5 (#172), GPT-5.2: 59.8 (#32)

Knowledge GPT-5.2 leads

Command A: 36.5 (#157), GPT-5.2: 59.2 (#29)

Knowledge benchmarks
BenchmarkCommand AGPT-5.2
Vectara Hallucination Rate9.3%8.4%
LMArena Expert12951445
GPQA Diamond—91.4%
Humanity's Last Exam—27.8%
SimpleQA Verified—37.1%

Multimodal Not comparable

Command A: —, GPT-5.2: 50.9 (#7)

Multimodal benchmarks
BenchmarkCommand AGPT-5.2
LMArena Vision—1268
VPCT—84%
Furniture Assembly—38.3%
LMArena Document—1405

Multilingual GPT-5.2 leads

Command A: 45.5 (#166), GPT-5.2: 53.6 (#63)

Multilingual benchmarks
BenchmarkCommand AGPT-5.2
LMArena Non-English13131425
LMArena Chinese13271460
LMArena French13521456
LMArena German13411448
LMArena Japanese12831421
LMArena Korean12851390
LMArena Russian13141440
LMArena Spanish13461433

Instruction Following GPT-5.2 leads

Command A: 69.3 (#172), GPT-5.2: 74.9 (#83)

Instruction Following benchmarks
BenchmarkCommand AGPT-5.2
LMArena Instruction Following13091417

Long Context GPT-5.2 leads

Command A: 40.6 (#147), GPT-5.2: 44.0 (#74)

Long Context benchmarks
BenchmarkCommand AGPT-5.2
LMArena Longer Query13341428
CL-bench—18.2%

Writing & Preference GPT-5.2 leads

Command A: 47.8 (#204), GPT-5.2: 67.0 (#30)

Writing & Preference benchmarks
BenchmarkCommand AGPT-5.2
LMArena Text13311439
LMArena Creative Writing13191402
EQ-Bench Creative Writing11451703
LMArena Multi-Turn13381458

Frequently asked questions

Is Command A better than GPT-5.2?

GPT-5.2 is the stronger model overall, scoring 54.1 to 35.9 on the Noometry Index.

Which is cheaper, Command A or GPT-5.2?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; GPT-5.2 lists at $1.75 and $14.

Is Command A or GPT-5.2 better for coding?

GPT-5.2 scores higher on coding benchmarks: 52.2 versus 26.8 in the Noometry coding category.

Which has the bigger context window?

GPT-5.2 does, with 400K tokens against 256K.

How many benchmarks do Command A and GPT-5.2 share?

23 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-5.2 has 67.

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