Which is cheaper, Hermes 4 70B or Seed-2.0-Mini?

Seed-2.0-Mini is the cheaper of the two: one 1,000-word request costs about 189 toman.

Which one has the larger context window?

Seed-2.0-Mini, with 262,144 tokens.

Hermes 4 70B vs Seed-2.0-Mini

Both sit behind the same key and the same code on uttapen — the only thing that changes is the model string, so you can run each of them against your own workload without touching anything else.

Feature	Hermes 4 70B	Seed-2.0-Mini
Provider	Nous Research	ByteDance Seed
Model id	nousresearch/hermes-4-70b	bytedance-seed/seed-2.0-mini
Context	131,072 tokens	262,144 tokens
Max output	117,964 tokens	131,072 tokens
Input / 1M tokens	37,716 toman	29,013 toman
Output / 1M tokens	116,050 toman	116,050 toman
≈ one 1,000-word request	200 toman	189 toman
Input caching	No	No
Image input	No	Yes
File input	No	No
Tool calling	No	Yes
JSON output	Yes	Yes
Reasoning mode	Yes	Yes

Which one for what?

Hermes 4 70B

Multi-step problems, maths, and tracking down a bug
High-volume work where cost per call decides

200 toman per 1,000 words · Model page

Seed-2.0-Mini

Multi-step problems, maths, and tracking down a bug
Whole documents or a codebase in a single request
Reading screenshots, invoices, and scanned forms
Agents that call your own APIs and database
High-volume work where cost per call decides

189 toman per 1,000 words · Model page

Run both with the same code

Swap the model value between the two ids and send the same request twice; what each answer cost comes back in the X-Uttapen-Cost-Toman header.

curl https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer sk-up-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nousresearch/hermes-4-70b",
    "messages": [{"role": "user", "content": "Introduce yourself in one sentence."}],
    "stream": true
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uttapen.ir/v1",
    api_key="sk-up-…",
)

stream = client.chat.completions.create(
    model="nousresearch/hermes-4-70b",
    messages=[{"role": "user", "content": "Introduce yourself in one sentence."}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.uttapen.ir/v1",
  apiKey: "sk-up-…",
});

const stream = await client.chat.completions.create({
  model: "nousresearch/hermes-4-70b",
  messages: [{ role: "user", content: "Introduce yourself in one sentence." }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

<?php
// composer require openai-php/client guzzlehttp/guzzle
$client = OpenAI::factory()
    ->withBaseUri('https://api.uttapen.ir/v1')
    ->withApiKey('sk-up-…')
    ->make();

$result = $client->chat()->create([
    'model' => 'nousresearch/hermes-4-70b',
    'messages' => [['role' => 'user', 'content' => 'Introduce yourself in one sentence.']],
]);
echo $result->choices[0]->message->content;

package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go"
	"github.com/openai/openai-go/option"
)

func main() {
	client := openai.NewClient(
		option.WithBaseURL("https://api.uttapen.ir/v1"),
		option.WithAPIKey("sk-up-…"),
	)
	resp, err := client.Chat.Completions.New(context.Background(), openai.ChatCompletionNewParams{
		Model:    "nousresearch/hermes-4-70b",
		Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(resp.Choices[0].Message.Content)
}

model = "bytedance-seed/seed-2.0-mini"

More comparisons: all pairs · model rankings · full catalogue

base_url = https://api.uttapen.ir/v1