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

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -0.8. Command R+ is 1.2x cheaper per token.

Cohere · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to -0.8, ranking #15 overall.

On price, Command R+ is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Command R+

  • cost matters — it's about 1.2x cheaper per token

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Command R+
Cohere
DeepSeek-V4.1-Flash-1017
DeepSeek
Core performance indexes
LLM Stats Score
-0.8
#352
51.0
#15
Reasoning
-1.0
#348
48.6
#18
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.25 / M
$0.30 / M
Output price
$1.00 / M
$1.20 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Command R+
DeepSeek-V4.1-Flash-1017
Math
-2.2#320
31.8#67
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 11 for DeepSeek-V4.1-Flash-1017

No common benchmarks found

Command R+ 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

Pricing Analysis

Price comparison per million tokens

Command R+ costs less

For input processing, Command R+ ($0.25/1M tokens) is 1.2x cheaper than DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 1.2x cheaper than DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than Command R+.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Notice missing or incorrect data?

Model Size

Parameter count comparison

659.2B diff

DeepSeek-V4.1-Flash-1017 has 659.2B more parameters than Command R+, making it 633.9% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
104.0B
Command R+
763.2B
DeepSeek-V4.1-Flash-1017

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Command R+'s 128,000 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Command R+ does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, 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 R+

CC BY-NC

Open weights

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek-V4.1-Flash-1017 was released on 2026-10-17.

DeepSeek-V4.1-Flash-1017 is 26 months newer than Command R+.

Command R+

Aug 30, 2024

2.1 years ago

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

2.1yr 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

Provider Availability

Command R+ is available from Cohere, Bedrock. DeepSeek-V4.1-Flash-1017 is available from DeepSeek.

Command R+

cohere logo
Cohere
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Command R+ and DeepSeek-V4.1-Flash-1017 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -0.8. Command R+ 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 R+ compare to DeepSeek-V4.1-Flash-1017 in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%.

Is Command R+ cheaper than DeepSeek-V4.1-Flash-1017?

Command R+ is 1.2x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek.

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

Command R+ supports 128K 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 R+ and DeepSeek-V4.1-Flash-1017?

Key differences include LLM Stats Score (-0.8 vs 51.0), context window (128K vs 1.0M), input pricing ($0.25 vs $0.30/M), multimodal support (no vs yes), licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and DeepSeek-V4.1-Flash-1017?

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

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