The AI arena is free today

Open Superagent

Command A+ vs DeepSeek-V4.1-Flash

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 24.0.

Cohere · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 24.0, ranking #12 overall.

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

Choose Command A+

  • you are already invested in the Cohere ecosystem

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Command A+
Cohere
DeepSeek-V4.1-Flash
DeepSeek
Core performance indexes
LLM Stats Score
24.0
#167
51.8
#12
Reasoning
21.5
#178
48.9
#17
Coding
7.3
#184
44.4
#5
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.22 / M
Output price
— / M
$0.66 / M
Context window
—
1,040,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Command A+
DeepSeek-V4.1-Flash
Math
24.1#119
35.2#43
Vision
12.4#102
29.5#31
Multimodal
15.9#84
34.3#13
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Command A+ · 20 for DeepSeek-V4.1-Flash

No common benchmarks found

Command A+ and DeepSeek-V4.1-Flashdon'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

Model Size

Parameter count comparison

545.2B diff

DeepSeek-V4.1-Flash has 545.2B more parameters than Command A+, making it 250.1% larger.

Cohere
Command A+
218.0Bparameters
DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
218.0B
Command A+
763.2B
DeepSeek-V4.1-Flash

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

Cohere
Command A+
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Command A+ and DeepSeek-V4.1-Flash support multimodal inputs.

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

Command A+

Text
Images
Audio
Video

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Command A+ is licensed under Apache 2.0, while DeepSeek-V4.1-Flash uses MIT.

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

Command A+

Apache 2.0

Open weights

DeepSeek-V4.1-Flash

MIT

Open weights

Release Timeline

When each model was launched

Command A+ was released on 2026-05-20, while DeepSeek-V4.1-Flash was released on 2026-09-10.

DeepSeek-V4.1-Flash is 4 months newer than Command A+.

Command A+

May 20, 2026

3 months ago

DeepSeek-V4.1-Flash

Sep 10, 2026

0 days ago

3mo 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Command A+ and DeepSeek-V4.1-Flash side-by-side, then vote on the output you prefer.

Command A+
✓ Preferred
DeepSeek-V4.1-Flash
Open in Playground

FAQ

Common questions about Command A+ vs DeepSeek-V4.1-Flash.

Which is better, Command A+ or DeepSeek-V4.1-Flash?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 24.0. Command A+ is made by Cohere and DeepSeek-V4.1-Flash is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Command A+ compare to DeepSeek-V4.1-Flash 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%. DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%.

What are the context window sizes for Command A+ and DeepSeek-V4.1-Flash?

Command A+ supports an unknown number of tokens and DeepSeek-V4.1-Flash 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 DeepSeek-V4.1-Flash?

Key differences include LLM Stats Score (24.0 vs 51.8), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command A+ and DeepSeek-V4.1-Flash?

Command A+ is developed by Cohere and DeepSeek-V4.1-Flash is developed by DeepSeek.

Related comparisons