Model Comparison

Command R+ vs Gemini 1.0 ProWhich is better in 2026?

Command R+ significantly outperforms across most benchmarks. Command R+ is 1.7x cheaper per token.

Verdict: Command R+ vs Gemini 1.0 Pro — which is better?

Command R+ (by Cohere) and Gemini 1.0 Pro (by Google) 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.

Command R+ outperforms in 1 benchmarks (MMLU), while Gemini 1.0 Pro is better at 0 benchmarks. Command R+ significantly outperforms across most benchmarks.

On price, Command R+ is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Command R+ also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Command R+ if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 1.7x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Aug 2024
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.0 Pro if…

  • you want predictable pricing at $0.50/M input and $1.50/M output
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 1 benchmarks (MMLU), while Gemini 1.0 Pro is better at 0 benchmarks.

Command R+ significantly outperforms across most benchmarks.

Fri Jun 12 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 2.0x cheaper than Gemini 1.0 Pro ($0.50/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 1.5x cheaper than Gemini 1.0 Pro ($1.50/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Command R+.*

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

Lowest available price from all providers
Fri Jun 12 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Command R+ accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Command R+ can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Fri Jun 12 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemini 1.0 Pro 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

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Gemini 1.0 Pro was released on 2024-02-15.

Command R+ is 7 months newer than Gemini 1.0 Pro.

Command R+

Aug 30, 2024

1.8 years ago

6mo newer
Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Command R+'s cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

—

Gemini 1.0 Pro

Feb 2024

Provider Availability

Command R+ is available from Cohere, Bedrock. Gemini 1.0 Pro is available from Google.

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

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MMLU score (75.7% vs 71.8%)
Google

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

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemini 1.0 Pro

FAQ

Common questions about Command R+ vs Gemini 1.0 Pro.

Which is better, Command R+ or Gemini 1.0 Pro?

Command R+ significantly outperforms across most benchmarks. Command R+ is made by Cohere and Gemini 1.0 Pro is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Command R+ compare to Gemini 1.0 Pro in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%.

Is Command R+ cheaper than Gemini 1.0 Pro?

Command R+ is 2.0x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google.

What are the context window sizes for Command R+ and Gemini 1.0 Pro?

Command R+ supports 128K tokens and Gemini 1.0 Pro supports 33K 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 Gemini 1.0 Pro?

Key differences include context window (128K vs 33K), input pricing ($0.25 vs $0.50/M), licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Gemini 1.0 Pro?

Command R+ is developed by Cohere and Gemini 1.0 Pro is developed by Google.

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