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Morph V3 Large

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Processes extensive text with a 262k-token context window.

MorphLanguage ModelsClosed
Model page
Updated 2026-06-15

About Morph V3 Large

Morph V3 Large is a closed-weight LLM developed by Morph for text modality tasks. It features a context window of 262144 tokens and is not available as open weights. The design focuses on delivering consistent performance for lengthy textual inputs.

Its primary strength lies in accommodating very large context sizes that support detailed document handling. Because it remains proprietary, access occurs through Morph's platform rather than local deployment. This setup ensures controlled updates and optimized inference.

Typical usage includes enterprise applications such as long-form content creation, multi-turn dialogue systems, and analysis of extended documents. Teams integrate the model where maintaining coherence across substantial text volumes is essential.

Capabilities

Long-context reasoning
Extended document analysis
Text generation
Instruction following
Multi-turn dialogue

How Morph V3 Large compares

Morph V3 Large (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · Morph V3 Large ranks #74 of 98

$1.6
Aion-2.0
$1.6
Aion-RP 1.0
$1.7
GLM 4.6
$1.8
GLM 4.7
$1.8
Qwen3 Coder 480B A35B
$1.8
Qwen3 235B A22B
$1.9
Morph V3 Large
$1.9
GLM 5
$2.1
R1 0528
$2.2
MiniMax M1
$2.2
GLM 4.5
$2.3
Kimi K2 0711
$2.5
Nemotron 3 Ultra

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long Document Summarization

Morph V3 Large processes entire books or lengthy reports within its 262144-token context for coherent summarization and insight extraction.

Extended Codebase Analysis

The model handles large-scale code repositories in one context window, enabling refactoring suggestions and bug detection across multiple files.

Multi-Turn Research Sessions

It maintains full conversation history up to 262144 tokens for ongoing technical or academic research without losing prior details.

Strengths & limitations

Strengths

  • +Handles up to 256k token contexts
  • +Text-only focus for language tasks
  • +Suitable for long-document workflows

Limitations

  • No vision or multimodal support
  • Capabilities beyond context size unknown

Cost calculator

Estimate what Morph V3 Large would cost for your usage.

$0.00185
per request
$18.5
estimated / month

Based on Morph V3 Large's $0.90/1M input · $1.90/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "morph/morph-v3-large",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: morph/morph-v3-large

Editor's verdict

Our take on Morph V3 Large

Morph V3 Large is Morph's proprietary language models with a 262K-token context window.

At $1.90 per 1M output tokens, it is mid-priced for its class.

It is available through Morph's API and aggregators like OpenRouter.

Best suited to handles up to 256k token contexts and text-only focus for language tasks.

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Frequently asked questions

Morph V3 Large supports a context window of 262144 tokens.

User reviews

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Other Morph models

Sibling versions in the Morph family from Morph.

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