Model comparison

Command A vs GPT-5.3 Chat

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 36.5 on the Noometry Index.

Last verified . 18 shared benchmarks.

Command A Cohere

36.5

Rank #215 Confirmed

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Command A scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 47.6.
  • Command A is cheaper at $2.50 / $10 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Command A accepts more context: 256K tokens versus 128K.
  • Command A has downloadable open weights; the other is API-only.

Side by side

Command A and GPT-5.3 Chat specifications
Command AGPT-5.3 Chat
ProviderCohereOpenAI
Noometry Index36.542.8
Released2025-03-132026-03-03
WeightsOpenProprietary
Context window256K128K
Max output8K16K
Input $ / M tokens$2.50$1.75
Output $ / M tokens$10$14
Results tracked2418

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Category by category

Coding GPT-5.3 Chat leads

Command A: 27.2 (#322), GPT-5.3 Chat: 41.4 (#124)

Coding benchmarks
BenchmarkCommand AGPT-5.3 Chat
LMArena Coding13301408
Aider Polyglot12%—

Agentic & Tool Use Not comparable

Command A: 35.9 (#40), GPT-5.3 Chat: —

Agentic & Tool Use benchmarks
BenchmarkCommand AGPT-5.3 Chat
Berkeley Function Calling Leaderboard57.1%—

Reasoning GPT-5.3 Chat leads

Command A: 18.3 (#283), GPT-5.3 Chat: 28.5 (#102)

Reasoning benchmarks
BenchmarkCommand AGPT-5.3 Chat
LMArena Hard Prompts13261399
Kagi LLM Benchmark28.8%—
DTBench61.3%—
LMCA10.3%—

Math GPT-5.3 Chat leads

Command A: 36.2 (#171), GPT-5.3 Chat: 38.2 (#142)

Math benchmarks
BenchmarkCommand AGPT-5.3 Chat
LMArena Math13001389

Knowledge GPT-5.3 Chat leads

Command A: 37.1 (#159), GPT-5.3 Chat: 38.8 (#140)

Knowledge benchmarks
BenchmarkCommand AGPT-5.3 Chat
LMArena Expert12951397
Vectara Hallucination Rate9.3%—

Multilingual GPT-5.3 Chat leads

Command A: 45.3 (#170), GPT-5.3 Chat: 50.3 (#124)

Multilingual benchmarks
BenchmarkCommand AGPT-5.3 Chat
LMArena Non-English13131382
LMArena Chinese13271432
LMArena French13511397
LMArena German13411384
LMArena Japanese12851352
LMArena Korean12851346
LMArena Russian13141400
LMArena Spanish13471371

Instruction Following GPT-5.3 Chat leads

Command A: 69.1 (#177), GPT-5.3 Chat: 72.8 (#129)

Instruction Following benchmarks
BenchmarkCommand AGPT-5.3 Chat
LMArena Instruction Following13091378

Long Context GPT-5.3 Chat leads

Command A: 40.6 (#151), GPT-5.3 Chat: 42.6 (#120)

Long Context benchmarks
BenchmarkCommand AGPT-5.3 Chat
LMArena Longer Query13341396

Writing & Preference GPT-5.3 Chat leads

Command A: 47.6 (#208), GPT-5.3 Chat: 63.1 (#68)

Writing & Preference benchmarks
BenchmarkCommand AGPT-5.3 Chat
LMArena Text13311389
LMArena Creative Writing13191355
EQ-Bench Creative Writing11451690
LMArena Multi-Turn13391412

Frequently asked questions

Is Command A better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 36.5 on the Noometry Index.

Which is cheaper, Command A or GPT-5.3 Chat?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is Command A or GPT-5.3 Chat better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 27.2 in the Noometry coding category.

Which has the bigger context window?

Command A does, with 256K tokens against 128K.

How many benchmarks do Command A and GPT-5.3 Chat share?

18 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-5.3 Chat has 18.

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