Cohere: Command R+ (08-2024) vs OpenAI: GPT-6 Sol
A side-by-side comparison of Cohere: Command R+ (08-2024) ($8.75 / 1M tokens) and OpenAI: GPT-6 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 Sol | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Input | $8.75 / 1M tokens | $7.00 / 1M tokens |
| Output | $35.00 / 1M tokens | $35.00 / 1M tokens |
| Cache read | - | $0.70 / 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 22, 2026 |
Key differences
- OpenAI: GPT-6 Sol is 20% cheaper on input tokens.
- OpenAI: GPT-6 Sol reads 8.2× more context (1,050,000 tokens).
- Only OpenAI: GPT-6 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 Sol.
In depth
Cohere: Command R+ (08-2024) is a text model from Cohere, released on 30 August 2024. OpenAI: GPT-6 Sol is a text model from OpenAI, released on 22 September 2026. Both are served through api14 under the same chat completions style interface, so the choice between them comes down to what your task actually needs rather than to any difference in how you integrate them.
The two models diverge most clearly on context and input types. Command R+ (08-2024) accepts text only and carries a context window of 128,000 tokens. GPT-6 Sol accepts text, images and files, and its context window is 1,050,000 tokens, which is substantially larger. GPT-6 Sol is also the only one of the two that exposes reasoning controls, including reasoning, reasoning_effort, include_reasoning and verbosity. On tool calling and structured outputs the two are comparable, since both support tools, tool_choice, response_format and structured_outputs. Command R+ (08-2024) additionally accepts frequency_penalty, presence_penalty, top_k and top_p, while GPT-6 Sol uses max_completion_tokens alongside max_tokens. On price, GPT-6 Sol is the cheaper option for input, and the two are about the same for output.
For a straightforward text task such as summarising documents, drafting replies or running a classification pass over a batch of records, either model will do the job, and Command R+ (08-2024) is a reasonable default when your input is plain text and fits comfortably inside its context window. Reach for GPT-6 Sol when you need to pass images or files directly to the model, when your prompt plus retrieved context is large enough that 128,000 tokens is a real constraint, or when you want the model to spend effort on reasoning before answering. The reasoning parameters are worth using deliberately: raising reasoning_effort on a hard problem and lowering it on simple ones lets you trade latency against answer quality without changing anything else in your request.
Calling either model through api14 works the same way. You send a request to the OpenAI-compatible chat completions endpoint and set the model field to "cohere/command-r-plus-08-2024" or "openai/gpt-6-sol". Everything else in the request body keeps the same shape, so switching between the two is a one line change to the model id. The main thing to watch is parameter naming: if you are moving from Command R+ (08-2024) to GPT-6 Sol, check that your token limit parameter and any sampling parameters you rely on are supported on the target model, and drop the ones that are not.
There are still cases where Command R+ (08-2024) is the better pick even though GPT-6 Sol is larger and cheaper on input. If your workload is pure text, fits within 128,000 tokens, and you have already tuned sampling behaviour around top_k, top_p or the penalty parameters, staying on Command R+ (08-2024) avoids reworking that configuration for no gain. It is also the simpler choice when you do not want the model doing extra reasoning work, since GPT-6 Sol's reasoning controls are an added dimension you would otherwise have to configure.
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-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-sol",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
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