AI पर ईमानदार विचार,
builders से
कोई press release नहीं। कोई sponsored content नहीं। कोई hype नहीं। बस वो लोग जो हर दिन AI के साथ build करते हैं, और जो वाकई सोचते हैं वो कहने से नहीं डरते।
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def fibonacci(n):
if n <= 1: return n
return fibonacci(n-1) + fibonacci(n-2)
# Dynamic programming version
def fib_dp(n):
ByteDance Seed 2.0 Code (preview), coding-specialized agent (text & image in → text), strong tool use + reasoning. Native via BytePlus (Ark).
66K आउटपुटIn: $0.000875/1MOut: $0.0053/1M●●●○○
ToolsStreamtoolsreasoningimage
Zubnet पर आज़माएं →
async function fetchData(url) {
const res = await fetch(url);
if (!res.ok) throw new Error();
return res.json();
}
Specialized model for code generation, completion, and understanding.
8K आउटपुटIn: $0.000525/1MOut: $0.0016/1M●●●●○
Streamchat
Zubnet पर आज़माएं →
fn merge_sort(arr: &mut Vec<i32>) {
let len = arr.len();
if len <= 1 { return; }
let mid = len / 2;
OpenAI GPT-5.3 Codex (chat completions endpoint).
128K आउटपुटIn: $0.0031/1MOut: $0.0245/1M●●●●○
ToolsStreamtoolsreasoningimage
Zubnet पर आज़माएं →
class TreeNode:
def __init__(self, val=0):
self.val = val
self.left = None
self.right = None
# Binary search tree
Jina AI's code-specialized embedding model, 1.5B parameters optimized for code search and retrieval. 32K context.
In: $0.000087/1M●●●○○
Zubnet पर आज़माएं →
func quickSort(arr []int) []int {
if len(arr) <= 1 {
return arr
}
pivot := arr[0]
Coding-specialized Kimi K2 model (k2.7). 256K context, agentic tool use and function calling, tuned for software engineering.
131K आउटपुटIn: $0.0017/1MOut: $0.0070/1M●●●○○
ToolsStreamchatreasoningfunction_callingagentic
Zubnet पर आज़माएं →
// React component
export const Button = ({ label }) => (
<button className="btn">
{label}
</button>
);
High-speed variant of Kimi K2.7 Code for low-latency agentic software engineering.
131K आउटपुटIn: $0.0017/1MOut: $0.0070/1M●●●●●
ToolsStreamchatreasoningfunction_callingagentic
Zubnet पर आज़माएं →
def fibonacci(n):
if n <= 1: return n
return fibonacci(n-1) + fibonacci(n-2)
# Dynamic programming version
def fib_dp(n):
Cost-effective coding model optimized for speed. Fast code generation and completion at lower cost.
8K आउटपुटIn: $0.000252/1MOut: $0.0010/1M●●●●●
ToolsStreamtools
Zubnet पर आज़माएं →
async function fetchData(url) {
const res = await fetch(url);
if (!res.ok) throw new Error();
return res.json();
}
Voyage AI's code-optimized embedding model, best-in-class for code search, retrieval, and similarity. 200M free tokens.
In: $0.000315/1M●●●○○
Zubnet पर आज़माएं →