Morph: Morph V3 Large

Public pricingIntelligence 79/100Large memory

Morph: Morph V3 Large एक टेक्स्ट मॉडल है, जिसे कोडिंग, डिबगिंग और तकनीकी कार्य के लिए बनाया गया है। यह मजबूत coding प्रदर्शन, 262K tokens का context और संतुलित लागत profile जोड़कर coding, debugging, and technical writing में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.90/1M

Output

$1.90/1M

Cached

$0.09/1M

Batch

$0.45/1M

Calculate your Morph V3 Large bill.

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What would Morph V3 Large cost you?

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Technical specifications

Morph V3 Large at a glance.

Memory

262,144

tokens

Max reply

131,072

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Sep 2025

Training cutoff

May 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Morph V3 Large

  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

Morph V3 Large — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Morph V3 Large costs roughly $144 per month. Input is $0.90 /1M tokens and output is $1.90 /1M tokens.
Morph V3 Large has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Morph V3 Large was released in September 2025, with training data cut off around May 2025.
Models in a similar class include Relace Apply 3, Claude Haiku 4.5, GPT-5.4 Mini. The "Similar models" section below this FAQ links into each.

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