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Command A+ vs GPT-6.1 Sol

GPT-6.1 Sol leads the LLM Stats Score 53.6 to 23.6.

Cohere · OpenAI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.6 to 23.6, ranking #7 overall.

In the 1 individual benchmarks reported for both models, GPT-6.1 Sol wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Command A+

  • you need open weights you can self-host or fine-tune

Choose GPT-6.1 Sol

  • overall performance matters — it scores 53.6 and ranks #7 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
23.6
#193
53.6
#7
21.0
#203
51.6
#8
6.3
#211
38.6
#19
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Command A+
GPT-6.1 Sol
23.6#135
34.9#48
12.3#121
35.8#11
15.7#102
35.5#11
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Command A+ · 17 for GPT-6.1 Sol

1 shared

Command A+ outperforms in 0 benchmarks, while GPT-6.1 Sol is better at 1 benchmark (MMMU-Pro).

GPT-6.1 Sol significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

Cohere
Command A+
Input- tokens
Output- tokens
OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Command A+ and GPT-6.1 Sol support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Command A+

Text
Images
Audio
Video

GPT-6.1 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

Command A+ is licensed under Apache 2.0, while GPT-6.1 Sol uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Command A+

Apache 2.0

Open weights

GPT-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Command A+ was released on 2026-05-20, while GPT-6.1 Sol was released on 2026-09-29.

GPT-6.1 Sol is 4 months newer than Command A+.

Command A+

May 20, 2026

5 months ago

GPT-6.1 Sol

Sep 29, 2026

3 weeks ago

4mo newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Command A+'s cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Command A+'s cutoff date.

Command A+

—

GPT-6.1 Sol

Apr 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Command A+ and GPT-6.1 Sol side-by-side, then vote on the output you prefer.

Command A+
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about Command A+ vs GPT-6.1 Sol.

Which is better, Command A+ or GPT-6.1 Sol?

GPT-6.1 Sol leads the LLM Stats Score 53.6 to 23.6. Command A+ is made by Cohere and GPT-6.1 Sol is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Command A+ compare to GPT-6.1 Sol in benchmarks?

Command A+ scores AIME 2025: 90.0%, CharXiv-D: 88.0%, MT-AIME 2025: 86.0%, Tau2 Telecom: 85.0%, WMT24++: 81.0%. GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%.

What are the context window sizes for Command A+ and GPT-6.1 Sol?

Command A+ supports an unknown number of tokens and GPT-6.1 Sol supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Command A+ and GPT-6.1 Sol?

Key differences include LLM Stats Score (23.6 vs 53.6), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Command A+ and GPT-6.1 Sol?

Command A+ is developed by Cohere and GPT-6.1 Sol is developed by OpenAI.