Morph V3 Large
About this model
Morph V3 Large is an AI model from Morph, made available through the API on July 7, 2025. It can read up to 262,144 tokens in one request, roughly 492 pages of text, and write up to 131,072 tokens in a single answer.
Through the API it costs $0.90 per million input tokens and $1.90 per million output tokens. Its pricing sits in the middle of the market.
Quality scores
Rankings →Not rated yet. Independent test results usually appear a few weeks after a model is released.
Where to use it
Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Morph V3 Large through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "morph/morph-v3-large", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="morph/morph-v3-large",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "morph/morph-v3-large",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$1.02
- Summarise a 100-page document$0.047
- An app with 10,000 requests a day for a month$498
Similar-priced alternatives
| Model | Inputi | Outputi | Contexti | |
|---|---|---|---|---|
Sakana NamazuSakana AI | $0.95 | $4 | 256K | Compare with ⇄ |
Relace Apply 3Relace | $0.85 | $1.25 | 256K | Compare with ⇄ |
DeepSeek V4 Pro 0423DeepSeek | $0.96 | $1.91 | 1M | Compare with ⇄ |
Hy4 previewTencent | $0.83 | $2.50 | 1M | Compare with ⇄ |
InklingThinking Machines Lab | $1 | $4.05 | 512K | Compare with ⇄ |
| $1 | $2 | 256K | Compare with ⇄ |
Frequently asked questions
- How much does Morph V3 Large cost?
- Morph V3 Large costs $0.90 per million input tokens and $1.90 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $1.02.
- What is the context window of Morph V3 Large?
- Morph V3 Large can read up to 262,144 tokens in one request, about 492 pages of text. It can write up to 131,072 tokens in a single answer.
- Is Morph V3 Large open source?
- No. Morph V3 Large is a closed model: its weights are not published, so you use it through Morph’s own apps and API, or through cloud providers.
- Who makes Morph V3 Large?
- Morph V3 Large is made by Morph. It became available through the API on July 7, 2025.
- Can Morph V3 Large read images?
- No. Morph V3 Large only accepts text as input.
- What are the alternatives to Morph V3 Large?
- Models with a similar price from other companies include Sakana Namazu, Relace Apply 3 and DeepSeek V4 Pro 0423. You can compare them side by side on this page.