Model Comparison

Command R+ vs o1-mini

o1-mini significantly outperforms across most benchmarks. Command R+ is 12.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while o1-mini is better at 1 benchmark (MMLU).

o1-mini significantly outperforms across most benchmarks.

Fri Apr 17 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 12.0x cheaper than o1-mini ($3.00/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 12.0x cheaper than o1-mini ($12.00/1M tokens).

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

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while o1-mini is limited to 65,536 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while o1-mini 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-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while o1-mini was released on 2024-09-12.

o1-mini is 0 month newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

o1-mini

Sep 12, 2024

1.6 years ago

1w 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-mini is available from OpenAI, Azure.

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-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* 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
Higher MMLU score (85.2% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
OpenAI
o1-mini

FAQ

Common questions about Command R+ vs o1-mini

o1-mini significantly outperforms across most benchmarks. Command R+ is made by Cohere and o1-mini 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-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
Command R+ is 12.0x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. o1-mini costs $3.00/M input and $12.00/M output via openai.
Command R+ supports 128K tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.25 vs $3.00/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-mini is developed by OpenAI.