Model comparison

Command A vs GPT-5.3 Codex

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 35.9 on the Noometry Index.

Last verified . 0 shared benchmarks.

Command A Cohere

35.9

Rank #212 Confirmed

GPT-5.3 Codex OpenAI

45.5

Rank #61 Reported

Summary

  • The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 26.8.
  • Command A is cheaper at $2.50 / $10 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
  • GPT-5.3 Codex 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-5.3 Codex specifications
Command AGPT-5.3 Codex
ProviderCohereOpenAI
Noometry Index35.945.5
Released2025-03-132026-02-05
WeightsOpenProprietary
Context window256K400K
Max output8K128K
Input $ / M tokens$2.50$1.75
Output $ / M tokens$10$14
Results tracked248

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Category by category

Coding GPT-5.3 Codex leads

Command A: 26.8 (#317), GPT-5.3 Codex: 48.5 (#51)

Coding benchmarks
BenchmarkCommand AGPT-5.3 Codex
SWE-bench Verified—74.8%
Aider Polyglot12%—
LMArena WebDev—1408
WeirdML—79.3%
LMArena Coding1331—
ALE-Bench—1,655

Agentic & Tool Use GPT-5.3 Codex leads

Command A: 35.7 (#36), GPT-5.3 Codex: 47.8 (#9)

Agentic & Tool Use benchmarks
BenchmarkCommand AGPT-5.3 Codex
Terminal-Bench—78.4%
Berkeley Function Calling Leaderboard57.1%—
METR Time Horizons—74.5%
Vending-Bench 2—5,940

Reasoning Not comparable

Command A: 17.7 (#276), GPT-5.3 Codex: —

Reasoning benchmarks
BenchmarkCommand AGPT-5.3 Codex
Kagi LLM Benchmark28.8%—
LMArena Hard Prompts1326—
DTBench61.3%—
LMCA10.3%—
Epoch Capabilities Index—156.84

Math Not comparable

Command A: 33.5 (#172), GPT-5.3 Codex: —

Math benchmarks
BenchmarkCommand AGPT-5.3 Codex
LMArena Math1300—

Knowledge Not comparable

Command A: 36.5 (#157), GPT-5.3 Codex: —

Knowledge benchmarks
BenchmarkCommand AGPT-5.3 Codex
Vectara Hallucination Rate9.3%—
LMArena Expert1295—

Multilingual Not comparable

Command A: 45.5 (#166), GPT-5.3 Codex: —

Multilingual benchmarks
BenchmarkCommand AGPT-5.3 Codex
LMArena Non-English1313—
LMArena Chinese1327—
LMArena French1352—
LMArena German1341—
LMArena Japanese1283—
LMArena Korean1285—
LMArena Russian1314—
LMArena Spanish1346—

Instruction Following Not comparable

Command A: 69.3 (#172), GPT-5.3 Codex: —

Instruction Following benchmarks
BenchmarkCommand AGPT-5.3 Codex
LMArena Instruction Following1309—

Long Context Not comparable

Command A: 40.6 (#147), GPT-5.3 Codex: —

Long Context benchmarks
BenchmarkCommand AGPT-5.3 Codex
LMArena Longer Query1334—

Writing & Preference Not comparable

Command A: 47.8 (#204), GPT-5.3 Codex: —

Writing & Preference benchmarks
BenchmarkCommand AGPT-5.3 Codex
LMArena Text1331—
LMArena Creative Writing1319—
EQ-Bench Creative Writing1145—
LMArena Multi-Turn1338—

Frequently asked questions

Is Command A better than GPT-5.3 Codex?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 35.9 on the Noometry Index.

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

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

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

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 26.8 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 256K.

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

0 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-5.3 Codex has 8.

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