Model Comparison

Command R+ vs o1

o1 significantly outperforms across most benchmarks. Command R+ is 60.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Command R+ outperforms in 0 benchmarks, while o1 is better at 2 benchmarks (GSM8k, MMLU).

o1 significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Command R+ costs less

For input processing, Command R+ ($0.25/1M tokens) is 60.0x cheaper than o1 ($15.00/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 60.0x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 is more expensive than Command R+.*

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

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1 accepts 200,000 input tokens compared to Command R+'s 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while o1 is limited to 100,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Sat May 02 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while o1 uses a proprietary license.

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

Command R+

CC BY-NC

Open weights

o1

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while o1 was released on 2024-12-17.

o1 is 4 months newer than Command R+.

Command R+

Aug 30, 2024

1.7 years ago

o1

Dec 17, 2024

1.4 years 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

Provider Availability

Command R+ is available from Cohere, Bedrock. o1 is available from Azure, OpenAI.

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

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Larger context window (200,000 tokens)
Higher GSM8k score (97.1% vs 70.7%)
Higher MMLU score (91.8% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
OpenAI
o1

FAQ

Common questions about Command R+ vs o1

o1 significantly outperforms across most benchmarks. Command R+ is made by Cohere and o1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.
Command R+ is 60.0x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. o1 costs $15.00/M input and $60.00/M output via azure.
Command R+ supports 128K tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 200K), input pricing ($0.25 vs $15.00/M), licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and o1 is developed by OpenAI.