Model comparison

Command A vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 36.5 on the Noometry Index.

Last verified . 12 shared benchmarks.

Command A Cohere

36.5

Rank #215 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Command A scores higher in 0 categories and GPT-6.1 Sol in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 18.3.
  • GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $2.50 / $10 for Command A.
  • GPT-6.1 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-6.1 Sol specifications
Command AGPT-6.1 Sol
ProviderCohereOpenAI
Noometry Index36.565.6
Released2025-03-132026-09-29
WeightsOpenProprietary
Context window256K1.05M
Max output8K128K
Input $ / M tokens$2.50$2
Output $ / M tokens$10$10
Results tracked2434

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Category by category

Coding GPT-6.1 Sol leads

Command A: 27.2 (#322), GPT-6.1 Sol: 63.2 (#8)

Coding benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Coding13301487
DeepSWE—75.2%
FrontierCode—50.2%
Aider Polyglot12%—
LMArena WebDev—1755
SciCode—55.8%

Agentic & Tool Use GPT-6.1 Sol leads

Command A: 35.9 (#40), GPT-6.1 Sol: 39.6 (#26)

Agentic & Tool Use benchmarks
BenchmarkCommand AGPT-6.1 Sol
APEX-Agents—60%
Berkeley Function Calling Leaderboard57.1%—
GDP.pdf—32%

Reasoning GPT-6.1 Sol leads

Command A: 18.3 (#283), GPT-6.1 Sol: 81.9 (#2)

Reasoning benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Hard Prompts13261466
ARC-AGI-2—94.2%
Kagi LLM Benchmark28.8%—
NYT Connections (extended)—95.5%
ARC-AGI-1—98.5%
CritPt—31.7%
Chess Puzzles—61%
EBR-Bench—54.3%
Mystery Game Puzzles—80%
DTBench61.3%—
LMCA10.3%—
Epoch Capabilities Index—166.09

Math GPT-6.1 Sol leads

Command A: 36.2 (#171), GPT-6.1 Sol: 93.7 (#1)

Math benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Math13001464
FrontierMath (Tiers 1-3)—93.7%
FrontierMath Tier 4—100%
OTIS Mock AIME 2024-2025—100%
ProofBench—99%

Knowledge GPT-6.1 Sol leads

Command A: 37.1 (#159), GPT-6.1 Sol: 71.8 (#4)

Knowledge benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Expert12951502
GPQA Diamond—95.4%
SimpleQA Verified—73.9%
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

Command A: —, GPT-6.1 Sol: 52.7 (#5)

Multimodal benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Vision—1288
Furniture Assembly—80%

Multilingual GPT-6.1 Sol leads

Command A: 45.3 (#170), GPT-6.1 Sol: 54.3 (#46)

Multilingual benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Non-English13131438
LMArena Chinese13271477
LMArena Russian13141455
LMArena French1351—
LMArena German1341—
LMArena Japanese1285—
LMArena Korean1285—
LMArena Spanish1347—

Instruction Following GPT-6.1 Sol leads

Command A: 69.1 (#177), GPT-6.1 Sol: 77.0 (#29)

Instruction Following benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Instruction Following13091468

Long Context GPT-6.1 Sol leads

Command A: 40.6 (#151), GPT-6.1 Sol: 44.9 (#54)

Long Context benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Longer Query13341465

Writing & Preference GPT-6.1 Sol leads

Command A: 47.6 (#208), GPT-6.1 Sol: 63.6 (#63)

Writing & Preference benchmarks
BenchmarkCommand AGPT-6.1 Sol
LMArena Text13311447
LMArena Creative Writing13191432
LMArena Multi-Turn13391449
EQ-Bench Creative Writing1145—

Frequently asked questions

Is Command A better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 36.5 on the Noometry Index.

Which is cheaper, Command A or GPT-6.1 Sol?

GPT-6.1 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-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 27.2 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 256K.

How many benchmarks do Command A and GPT-6.1 Sol share?

12 benchmarks have published results for both models. Command A has 24 scored results on Noometry and GPT-6.1 Sol has 34.

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