Cohere: Command R+ (08-2024) vs OpenAI: GPT-6.1 Sol
A side-by-side comparison of Cohere: Command R+ (08-2024) ($8.75 / 1M tokens) and OpenAI: GPT-6.1 Sol ($7.00 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| Cohere: Command R+ (08-2024) | OpenAI: GPT-6.1 Sol | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Input | $8.75 / 1M tokens | $7.00 / 1M tokens |
| Output | $35.00 / 1M tokens | $35.00 / 1M tokens |
| Cache read | - | $0.35 / 1M tokens |
| Cache write | - | $8.75 / 1M tokens |
| Web search | - | $35.00 / 1K searches |
| Context window | 128,000 | 1,050,000 |
| Max output | 4,000 | 128,000 |
| Input | text | file, image, text |
| Output | text | text |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Aug 30, 2024 | Sep 29, 2026 |
Key differences
- OpenAI: GPT-6.1 Sol is 20% cheaper on input tokens.
- OpenAI: GPT-6.1 Sol reads 8.2× more context (1,050,000 tokens).
- Only OpenAI: GPT-6.1 Sol supports reasoning effort control.
- A request with 1,000 input and 500 output tokens costs $0.03 with Cohere: Command R+ (08-2024) and $0.02 with OpenAI: GPT-6.1 Sol.
In depth
Cohere: Command R+ (08-2024) is a text model from Cohere, released on 30 August 2024. OpenAI: GPT-6.1 Sol is a text model from OpenAI, released on 29 September 2026. Both are served through api14 as chat models, and both accept text as input and return text as output, so at the level of basic request and response shape they are interchangeable.
The differences show up in context, modalities and reasoning. GPT-6.1 Sol has a much larger context window at 1,050,000 tokens against 128,000 for Command R+ (08-2024), so it can hold far more material in a single call. GPT-6.1 Sol also accepts file and image input alongside text, while Command R+ (08-2024) is text only. On reasoning, GPT-6.1 Sol exposes reasoning controls (include_reasoning, reasoning, reasoning_effort) that Command R+ (08-2024) does not have. Command R+ (08-2024) counters with a broader sampling and control surface, including frequency_penalty, presence_penalty, top_k, stop and seed, plus tools, tool_choice, response_format and structured_outputs. GPT-6.1 Sol supports tools, tool_choice, response_format, structured_outputs and seed as well, along with max_completion_tokens and verbosity. On price, GPT-6.1 Sol is the cheaper of the two for input, while output pricing is about the same for both.
For a developer choosing between them, the deciding factors are usually context size, input type and whether you want explicit reasoning control. If your task involves long documents, large codebases, or mixed text and image or file input, GPT-6.1 Sol is the natural pick, and its reasoning parameters let you trade latency and cost against depth of thinking. If your task is text only, fits comfortably inside 128,000 tokens, and you want fine grained sampling control through top_k, presence_penalty or frequency_penalty, Command R+ (08-2024) covers that ground. Workloads that are mostly input heavy also lean toward GPT-6.1 Sol given its lower input price, while output heavy workloads are roughly a wash on price between the two.
Calling either model through api14 works the same way because the API is OpenAI compatible. You point your client at the same base URL, send the same chat completions request body, and change only the model id: "cohere/command-r-plus-08-2024" for Command R+ (08-2024) or "openai/gpt-6.1-sol" for GPT-6.1 Sol. Parameters that both models support, such as tools, tool_choice, response_format, structured_outputs, seed and max_tokens, can be sent unchanged. Parameters that only one side supports, such as reasoning_effort or verbosity on GPT-6.1 Sol, or top_k and the penalty parameters on Command R+ (08-2024), should be gated in your code so a request does not carry fields the selected model rejects.
There is still a case for Command R+ (08-2024) even when GPT-6.1 Sol would work. If you have already tuned prompts and sampling settings around top_k, frequency_penalty or presence_penalty, or you rely on a fixed seed with those controls for reproducible text generation, switching to GPT-6.1 Sol means reworking that configuration, since those parameters are not part of its supported set. For plain text tasks inside its context limit, Command R+ (08-2024) remains a reasonable default, and you can route to GPT-6.1 Sol only when you need the larger window, image or file input, or reasoning controls.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "cohere/command-r-plus-08-2024" to "openai/gpt-6.1-sol" and prompts, streaming and tools keep working.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.chat.completions.create({
"model": "openai/gpt-6.1-sol",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
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