Cohere: Command R+ (08-2024) vs OpenAI: GPT-6 Sol Pro
A side-by-side comparison of Cohere: Command R+ (08-2024) ($8.75 / 1M tokens) and OpenAI: GPT-6 Sol Pro ($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 Pro | |
|---|---|---|
| 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 Pro is 20% cheaper on input tokens.
- OpenAI: GPT-6 Sol Pro reads 8.2× more context (1,050,000 tokens).
- Only OpenAI: GPT-6 Sol Pro 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 Pro.
In depth
Cohere: Command R+ (08-2024) is a text model from Cohere, released on 30 August 2024. OpenAI: GPT-6 Sol Pro is a text model from OpenAI, released on 22 September 2026. Both are served through api14 as text category models, so either can sit behind the same chat completions style integration without you reworking your application around a different provider SDK.
The two differ most in scale and input handling. GPT-6 Sol Pro carries a much larger context window at 1,050,000 tokens against 128,000 for Command R+ (08-2024), so it is the one to reach for when you need to hold very long documents, large codebases or extended conversation histories in a single call. GPT-6 Sol Pro also accepts file and image input alongside text, while Command R+ (08-2024) accepts text only. On reasoning, GPT-6 Sol Pro is the model with explicit reasoning controls (include_reasoning, reasoning, reasoning_effort), which Command R+ (08-2024) does not expose. Both support tools, tool_choice, response_format and structured_outputs, so function calling and structured JSON output are available on either side. Parameter sets otherwise diverge: Command R+ (08-2024) exposes sampling controls such as frequency_penalty, presence_penalty, top_k and top_p, while GPT-6 Sol Pro exposes verbosity and max_completion_tokens instead.
For practical selection, start with the task shape rather than the brand. If your workload is text in, text out, with moderate context and you want fine grained sampling control, Command R+ (08-2024) covers it and is the cheaper option on input, with output pricing about the same as GPT-6 Sol Pro. If you need to feed images or files, or you need to reason over a very large context, GPT-6 Sol Pro is the fit, and its reasoning parameters let you trade effort against latency where that matters. If you are doing retrieval augmented generation with tools and structured outputs over ordinary document sizes, either model works, so the deciding factors become input cost and whether you need the extra modalities.
Calling either model through api14 uses the same OpenAI-compatible surface. You point your client at the api14 base URL, send a standard chat completions request, and set the model field to cohere/command-r-plus-08-2024 or openai/gpt-6-sol-pro. Switching between them is a one line change to that model id; the request and response envelope stay the same. Keep in mind that parameters are not fully interchangeable, so if you move from Command R+ (08-2024) to GPT-6 Sol Pro, drop top_k, top_p and the penalty fields and use reasoning_effort or verbosity if you want them, and use max_completion_tokens where you previously used max_tokens.
There are still cases where Command R+ (08-2024) is the better pick even though GPT-6 Sol Pro is larger. When your inputs are plain text, your context fits comfortably inside 128,000 tokens, and input cost is the pressure point, Command R+ (08-2024) is the cheaper input option and gives you the sampling controls that GPT-6 Sol Pro does not expose. It is also the simpler choice when you do not want reasoning tokens in the loop at all.
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-pro" 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-pro",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
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