Model comparison

Command A vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 49.2 to 35.9 on the Noometry Index.

Last verified . 15 shared benchmarks.

Command A Cohere

35.9

Rank #212 Confirmed

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Command A scores higher in 1 category and GPT-6 Sol in 8 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GPT-6 Sol leads 59.6 to 26.8.
  • GPT-6 Sol is cheaper at $2 / $10 per million input/output tokens, against $2.50 / $10 for Command A.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 256K.
  • Command A has downloadable open weights; the other is API-only.

Side by side

Command A and GPT-6 Sol specifications
Command AGPT-6 Sol
ProviderCohereOpenAI
Noometry Index35.949.2
Released2025-03-132026-09-22
WeightsOpenProprietary
Context window256K1.05M
Max output8K128K
Input $ / M tokens$2.50$2
Output $ / M tokens$10$10
Results tracked2422

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Category by category

Coding GPT-6 Sol leads

Command A: 26.8 (#317), GPT-6 Sol: 59.6 (#11)

Coding benchmarks
BenchmarkCommand AGPT-6 Sol
LMArena Coding13311453
DeepSWE—68.8%
FrontierCode—49.3%
Aider Polyglot12%—
LMArena WebDev—1692

Agentic & Tool Use Command A leads

Command A: 35.7 (#36), GPT-6 Sol: 33.5 (#49)

Agentic & Tool Use benchmarks
BenchmarkCommand AGPT-6 Sol
Berkeley Function Calling Leaderboard57.1%—
GDP.pdf—28%

Reasoning GPT-6 Sol leads

Command A: 17.7 (#276), GPT-6 Sol: 49.3 (#34)

Reasoning benchmarks
BenchmarkCommand AGPT-6 Sol
LMArena Hard Prompts13261420
Kagi LLM Benchmark28.8%—
NYT Connections (extended)—90.1%
EBR-Bench—53.3%
DTBench61.3%—
LMCA10.3%—

Math GPT-6 Sol leads

Command A: 33.5 (#172), GPT-6 Sol: 35.8 (#135)

Math benchmarks
BenchmarkCommand AGPT-6 Sol
LMArena Math13001404

Knowledge GPT-6 Sol leads

Command A: 36.5 (#157), GPT-6 Sol: 43.0 (#87)

Knowledge benchmarks
BenchmarkCommand AGPT-6 Sol
Vectara Hallucination Rate9.3%6.5%
LMArena Expert12951449

Multimodal Not comparable

Command A: —, GPT-6 Sol: 47.6 (#9)

Multimodal benchmarks
BenchmarkCommand AGPT-6 Sol
Furniture Assembly—58.3%

Multilingual GPT-6 Sol leads

Command A: 45.5 (#166), GPT-6 Sol: 51.0 (#113)

Multilingual benchmarks
BenchmarkCommand AGPT-6 Sol
LMArena Non-English13131389
LMArena Chinese13271416
LMArena Russian13141407
LMArena Spanish13461377
LMArena French1352—
LMArena German1341—
LMArena Japanese1283—
LMArena Korean1285—

Instruction Following GPT-6 Sol leads

Command A: 69.3 (#172), GPT-6 Sol: 74.4 (#97)

Instruction Following benchmarks
BenchmarkCommand AGPT-6 Sol
LMArena Instruction Following13091406

Long Context GPT-6 Sol leads

Command A: 40.6 (#147), GPT-6 Sol: 43.2 (#100)

Long Context benchmarks
BenchmarkCommand AGPT-6 Sol
LMArena Longer Query13341415

Writing & Preference GPT-6 Sol leads

Command A: 47.8 (#204), GPT-6 Sol: 72.3 (#15)

Writing & Preference benchmarks
BenchmarkCommand AGPT-6 Sol
LMArena Text13311396
LMArena Creative Writing13191392
EQ-Bench Creative Writing11452125
LMArena Multi-Turn13381405

Frequently asked questions

Is Command A better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 35.9 on the Noometry Index.

Which is cheaper, Command A or GPT-6 Sol?

GPT-6 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Command A lists at $2.50 and $10.

Is Command A or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 26.8 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 256K.

How many benchmarks do Command A and GPT-6 Sol share?

15 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-6 Sol has 22.

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