Model Comparison

Command R+ vs DeepSeek R1 Distill Llama 70BWhich is better in 2026?

Comparing Command R+ and DeepSeek R1 Distill Llama 70B across benchmarks, pricing, and capabilities.

Verdict: Command R+ vs DeepSeek R1 Distill Llama 70B — which is better?

Command R+ (by Cohere) and DeepSeek R1 Distill Llama 70B (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, DeepSeek R1 Distill Llama 70B is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Command R+ if…

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

Choose DeepSeek R1 Distill Llama 70B if…

  • cost matters — it's about 2.5x cheaper per token
  • you want the most recent training data — it shipped Jan 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and DeepSeek R1 Distill Llama 70Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, Command R+ ($0.25/1M tokens) is 2.5x more expensive than DeepSeek R1 Distill Llama 70B ($0.10/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 2.5x more expensive than DeepSeek R1 Distill Llama 70B ($0.40/1M tokens).

In conclusion, Command R+ is more expensive than DeepSeek R1 Distill Llama 70B.*

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

Lowest available price from all providers
Thu Jul 02 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

33.4B diff

Command R+ has 33.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 47.3% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
104.0B
Command R+
70.6B
DeepSeek R1 Distill Llama 70B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Thu Jul 02 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek R1 Distill Llama 70B 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 R1 Distill Llama 70B

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek R1 Distill Llama 70B was released on 2025-01-20.

DeepSeek R1 Distill Llama 70B is 5 months newer than Command R+.

Command R+

Aug 30, 2024

1.8 years ago

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.4 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 R1 Distill Llama 70B is available from DeepInfra.

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 R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere

No standout differentiators in the data we have for this pair.

DeepSeek
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Command R+ and DeepSeek R1 Distill Llama 70B side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
DeepSeek R1 Distill Llama 70B
Open in Playground
AI Model Comparison Table
Feature
Cohere
Command R+
DeepSeek
DeepSeek R1 Distill Llama 70B

FAQ

Common questions about Command R+ vs DeepSeek R1 Distill Llama 70B.

Which is better, Command R+ or DeepSeek R1 Distill Llama 70B?

Command R+ (Cohere) and DeepSeek R1 Distill Llama 70B (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Command R+ compare to DeepSeek R1 Distill Llama 70B in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%.

Is Command R+ cheaper than DeepSeek R1 Distill Llama 70B?

DeepSeek R1 Distill Llama 70B is 2.5x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra.

What are the context window sizes for Command R+ and DeepSeek R1 Distill Llama 70B?

Command R+ supports 128K tokens and DeepSeek R1 Distill Llama 70B supports 128K 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 R1 Distill Llama 70B?

Key differences include input pricing ($0.25 vs $0.10/M), licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and DeepSeek R1 Distill Llama 70B?

Command R+ is developed by Cohere and DeepSeek R1 Distill Llama 70B is developed by DeepSeek.

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