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Command A+ vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to 23.5.

Cohere · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to 23.5, ranking #133 overall.

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 Particle-1

  • overall performance matters — it scores 31.9 and ranks #133 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
23.5
#201
31.9
#133
21.1
#211
31.2
#135
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

15 reported for Command A+ · 3 for Particle-1

No common benchmarks found

Command A+ and Particle-1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).

Cohere
Command A+
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Command A+ and Particle-1 support multimodal inputs.

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

Command A+

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

Command A+ is licensed under Apache 2.0, while Particle-1 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

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

Command A+ was released on 2026-05-20, while Particle-1 was released on 2026-10-28.

Particle-1 is 5 months newer than Command A+.

Command A+

May 20, 2026

5 months ago

Particle-1

Oct 28, 2026

-3 days ago

5mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Command A+ and Particle-1 side-by-side, then vote on the output you prefer.

Command A+
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about Command A+ vs Particle-1.

Which is better, Command A+ or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to 23.5. Command A+ is made by Cohere and Particle-1 is made by Particle AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Command A+ compare to Particle-1 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%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for Command A+ and Particle-1?

Command A+ supports an unknown number of tokens and Particle-1 supports 1.0M 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 Particle-1?

Key differences include LLM Stats Score (23.5 vs 31.9), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Command A+ and Particle-1?

Command A+ is developed by Cohere and Particle-1 is developed by Particle AI.