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Command R+ vs DeepSeek-V3.1

DeepSeek-V3.1 leads the LLM Stats Score 22.3 to -0.2. Command R+ is 1.0x cheaper per token.

Cohere · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V3.1 leads the overall LLM Stats Score 22.3 to -0.2, ranking #168 overall.

DeepSeek-V3.1 also accepts a larger context window (163,840 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+

  • you want predictable pricing at $0.25/M input and $1.00/M output

Choose DeepSeek-V3.1

  • overall performance matters — it scores 22.3 and ranks #168 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 163,840 token context window
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Command R+
Cohere
DeepSeek-V3.1
DeepSeek
Core performance indexes
LLM Stats Score
-0.2
#315
22.3
#168
Reasoning
-0.5
#310
22.6
#161
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.25 / M
$0.27 / M
Output price
$1.00 / M
$1.00 / M
Context window
128,000
163,840

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Command R+
DeepSeek-V3.1
Math
-1.7#299
18.9#167
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 16 for DeepSeek-V3.1

No common benchmarks found

Command R+ and DeepSeek-V3.1don'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

Pricing Analysis

Price comparison per million tokens

Command R+ costs less

For input processing, Command R+ ($0.25/1M tokens) is 1.1x cheaper than DeepSeek-V3.1 ($0.27/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) costs the same as DeepSeek-V3.1 ($1.00/1M tokens).

In conclusion, DeepSeek-V3.1 is more expensive than Command R+.*

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

Lowest available price from all providers
Sun Sep 06 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

567.0B diff

DeepSeek-V3.1 has 567.0B more parameters than Command R+, making it 545.2% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek-V3.1
671.0Bparameters
104.0B
Command R+
671.0B
DeepSeek-V3.1

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to Command R+'s 128,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Sun Sep 06 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek-V3.1 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-V3.1

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek-V3.1 was released on 2025-01-10.

DeepSeek-V3.1 is 4 months newer than Command R+.

Command R+

Aug 30, 2024

2.0 years ago

DeepSeek-V3.1

Jan 10, 2025

1.7 years ago

4mo 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-V3.1 is available from DeepInfra, Novita.

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-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Command R+ and DeepSeek-V3.1 side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
DeepSeek-V3.1
Open in Playground

FAQ

Common questions about Command R+ vs DeepSeek-V3.1.

Which is better, Command R+ or DeepSeek-V3.1?

DeepSeek-V3.1 leads the LLM Stats Score 22.3 to -0.2. Command R+ is made by Cohere and DeepSeek-V3.1 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-V3.1 in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%.

Is Command R+ cheaper than DeepSeek-V3.1?

Command R+ is 1.1x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra.

What are the context window sizes for Command R+ and DeepSeek-V3.1?

Command R+ supports 128K tokens and DeepSeek-V3.1 supports 164K 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-V3.1?

Key differences include LLM Stats Score (-0.2 vs 22.3), context window (128K vs 164K), input pricing ($0.25 vs $0.27/M), licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and DeepSeek-V3.1?

Command R+ is developed by Cohere and DeepSeek-V3.1 is developed by DeepSeek.

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