Model Comparison

Command R+ vs GPT-5.6 SolWhich is better in 2026?

Comparing Command R+ and GPT-5.6 Sol across benchmarks, pricing, and capabilities.

Verdict: Command R+ vs GPT-5.6 Sol — which is better?

Command R+ (by Cohere) and GPT-5.6 Sol (by OpenAI) 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, Command R+ is roughly 25.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Command R+ if…

  • cost matters — it's about 25.7x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-5.6 Sol if…

  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and GPT-5.6 Soldon'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

Command R+ costs less

For input processing, Command R+ ($0.25/1M tokens) is 20.0x cheaper than GPT-5.6 Sol ($5.00/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 30.0x cheaper than GPT-5.6 Sol ($30.00/1M tokens).

In conclusion, GPT-5.6 Sol is more expensive than Command R+.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
OpenAI
GPT-5.6 Sol
Input tokens$5.00
Output tokens$30.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.6 Sol accepts 1,050,000 input tokens compared to Command R+'s 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Sol supports multimodal inputs, whereas Command R+ does not.

GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

GPT-5.6 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while GPT-5.6 Sol 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

GPT-5.6 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while GPT-5.6 Sol was released on 2026-07-09.

GPT-5.6 Sol is 23 months newer than Command R+.

Command R+

Aug 30, 2024

1.9 years ago

GPT-5.6 Sol

Jul 9, 2026

1 weeks ago

1.9yr newer

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Command R+'s cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

—

GPT-5.6 Sol

Feb 2026

Provider Availability

Command R+ is available from Cohere, Bedrock. GPT-5.6 Sol is available from 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

GPT-5.6 Sol

openai logo
OpenAI
Input Price:Input: $5.00/1MOutput Price:Output: $30.00/1M
* 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 (1,050,000 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Command R+ and GPT-5.6 Sol side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
GPT-5.6 Sol
Open in Playground
AI Model Comparison Table
Feature
Cohere
Command R+
OpenAI
GPT-5.6 Sol

FAQ

Common questions about Command R+ vs GPT-5.6 Sol.

Which is better, Command R+ or GPT-5.6 Sol?

Command R+ (Cohere) and GPT-5.6 Sol (OpenAI) 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 GPT-5.6 Sol in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%.

Is Command R+ cheaper than GPT-5.6 Sol?

Command R+ is 20.0x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. GPT-5.6 Sol costs $5.00/M input and $30.00/M output via openai.

What are the context window sizes for Command R+ and GPT-5.6 Sol?

Command R+ supports 128K tokens and GPT-5.6 Sol supports 1.1M 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 GPT-5.6 Sol?

Key differences include context window (128K vs 1.1M), input pricing ($0.25 vs $5.00/M), multimodal support (no vs yes), licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and GPT-5.6 Sol?

Command R+ is developed by Cohere and GPT-5.6 Sol is developed by OpenAI.

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