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Command A+ vs DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 23.6.

Cohere · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.2 to 23.6, ranking #15 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-1017

  • overall performance matters — it scores 51.2 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Command A+
Cohere
DeepSeek-V4.1-Flash-1017
DeepSeek
Core performance indexes
LLM Stats Score
23.6
#193
51.2
#15
Reasoning
21.0
#203
48.8
#18
Coding
6.3
#211
39.3
#14
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Command A+
DeepSeek-V4.1-Flash-1017
Math
23.6#135
31.8#69
Vision
12.3#121
32.3#25
Multimodal
15.7#102
35.0#14
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Command A+ · 11 for DeepSeek-V4.1-Flash-1017

No common benchmarks found

Command A+ and DeepSeek-V4.1-Flash-1017don'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-1017 has 545.2B more parameters than Command A+, making it 250.1% larger.

Cohere
Command A+
218.0Bparameters
DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
218.0B
Command A+
763.2B
DeepSeek-V4.1-Flash-1017

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

Cohere
Command A+
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Command A+ and DeepSeek-V4.1-Flash-1017 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-1017

Text
Images
Audio
Video

License

Usage and distribution terms

Command A+ is licensed under Apache 2.0, while DeepSeek-V4.1-Flash-1017 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-1017

MIT

Open weights

Release Timeline

When each model was launched

Command A+ was released on 2026-05-20, while DeepSeek-V4.1-Flash-1017 was released on 2026-10-17.

DeepSeek-V4.1-Flash-1017 is 5 months newer than Command A+.

Command A+

May 20, 2026

5 months ago

DeepSeek-V4.1-Flash-1017

Oct 17, 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 DeepSeek-V4.1-Flash-1017 side-by-side, then vote on the output you prefer.

Command A+
✓ Preferred
DeepSeek-V4.1-Flash-1017
Open in Playground

FAQ

Common questions about Command A+ vs DeepSeek-V4.1-Flash-1017.

Which is better, Command A+ or DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 23.6. Command A+ is made by Cohere and DeepSeek-V4.1-Flash-1017 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-1017 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-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%.

What are the context window sizes for Command A+ and DeepSeek-V4.1-Flash-1017?

Command A+ supports an unknown number of tokens and DeepSeek-V4.1-Flash-1017 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-1017?

Key differences include LLM Stats Score (23.6 vs 51.2), 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-1017?

Command A+ is developed by Cohere and DeepSeek-V4.1-Flash-1017 is developed by DeepSeek.

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