Morph: Morph V3 Fast

Public pricingIntelligence 79/100Medium memory

Morph: Morph V3 Fast est un modèle texte conçu pour codage, débogage et travail technique. Il associe de bonnes performances en codage et une faible latence et une inférence efficace, un contexte de 82K tokens et un profil à coût équilibré pour un travail fiable sur coding, debugging, and technical writing.

Input

$0.80/1M

Output

$1.20/1M

Cached

$0.08/1M

Batch

$0.40/1M

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Technical specifications

Morph V3 Fast at a glance.

Memory

81,920

tokens

Max reply

38,000

tokens

Memory tier

Medium

a long report or a codebase file

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 Fast

  • 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 Fast — 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 Fast costs roughly $108 per month. Input is $0.80 /1M tokens and output is $1.20 /1M tokens.
Morph V3 Fast has a 81,920-token context window (medium memory — a long report or a codebase file). That means you can fit about 15,360 words of input and history in a single call.
Morph V3 Fast was released in September 2025, with training data cut off around May 2025.
Models in a similar class include Morph V3 Large, CodeLLaMa 7B Instruct Solidity, GPT-5.4 Mini. The "Similar models" section below this FAQ links into each.

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