Noometry

Model comparison

Command A vs GPT-4

Command A is the stronger model overall, scoring 35.9 to 28.9 on the Noometry Index.

Last verified . 20 shared benchmarks.

Command A Cohere

35.9

Rank #212 Confirmed

GPT-4 OpenAI

28.9

Rank #308 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Command A scores higher in 7 categories and GPT-4 in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Command A leads 33.5 to 10.1.
  • The biggest single-benchmark swing is LMCA: 10.3% for Command A and 17.1% for GPT-4.
  • Command A is cheaper at $2.50 / $10 per million input/output tokens, against $30 / $60 for GPT-4.
  • Command A accepts more context: 256K tokens versus 8K.
  • Command A has downloadable open weights; the other is API-only.

Side by side

Command AGPT-4
ProviderCohereOpenAI
Noometry Index35.928.9
Released2025-03-132023-03-14
WeightsOpenProprietary
Context window256K8K
Max output8K8K
Input $ / M tokens$2.50$30
Output $ / M tokens$10$60
Results tracked2438

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-4 leads

Command A: 26.8 (#317), GPT-4: 31.2 (#277)

BenchmarkCommand AGPT-4
LMArena Coding13311254
Aider Polyglot12%—
WeirdML—12.4%
BigCodeBench Instruct—46%
BigCodeBench Complete—57.2%
HumanEval+—79.3%

Agentic & Tool Use Not comparable

Command A: 35.7 (#36), GPT-4: —

BenchmarkCommand AGPT-4
Berkeley Function Calling Leaderboard57.1%—
METR Time Horizons—36.1%

Reasoning Too close to call

Command A: 17.7 (#276), GPT-4: 17.3 (#285)

BenchmarkCommand AGPT-4
LMArena Hard Prompts13261241
DTBench61.3%62.7%
LMCA10.3%17.1%
Kagi LLM Benchmark28.8%—
Chess Puzzles—4%
Mystery Game Puzzles—12%
BIG-Bench Hard—75.1%
Epoch Capabilities Index—125.88
ForecastBench—57.8
HellaSwag—95.3%
WinoGrande—87.5%

Math Command A leads

Command A: 33.5 (#172), GPT-4: 10.1 (#304)

BenchmarkCommand AGPT-4
LMArena Math13001269
OTIS Mock AIME 2024-2025—1.1%
MATH Level 5—23%
GSM8K—92%

Knowledge Command A leads

Command A: 36.5 (#157), GPT-4: 18.4 (#277)

BenchmarkCommand AGPT-4
LMArena Expert12951211
GPQA Diamond—35.7%
Vectara Hallucination Rate9.3%—
MMLU—86.4%
TriviaQA—84.8%

Multilingual Command A leads

Command A: 45.5 (#166), GPT-4: 40.8 (#210)

BenchmarkCommand AGPT-4
LMArena Non-English13131246
LMArena Chinese13271242
LMArena French13521282
LMArena German13411251
LMArena Japanese12831209
LMArena Korean12851184
LMArena Russian13141251
LMArena Spanish13461261

Instruction Following Command A leads

Command A: 69.3 (#172), GPT-4: 65.5 (#217)

BenchmarkCommand AGPT-4
LMArena Instruction Following13091241

Long Context Command A leads

Command A: 40.6 (#147), GPT-4: 37.7 (#207)

BenchmarkCommand AGPT-4
LMArena Longer Query13341244

Writing & Preference Command A leads

Command A: 47.8 (#204), GPT-4: 35.0 (#263)

BenchmarkCommand AGPT-4
LMArena Text13311263
LMArena Creative Writing13191244
EQ-Bench Creative Writing1145752
LMArena Multi-Turn13381257

Frequently asked questions

Is Command A better than GPT-4?

Command A is the stronger model overall, scoring 35.9 to 28.9 on the Noometry Index.

Which is cheaper, Command A or GPT-4?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; GPT-4 lists at $30 and $60.

Is Command A or GPT-4 better for coding?

GPT-4 scores higher on coding benchmarks: 31.2 versus 26.8 in the Noometry coding category.

Which has the bigger context window?

Command A does, with 256K tokens against 8K.

How many benchmarks do Command A and GPT-4 share?

20 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-4 has 38.

Related comparisons

Go deeper