Antimatter
Morph

Morph V3 Fast (batch)

morph/morph-v3-fast:batch

Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations.

$0.44 in · $0.66 out per 1M tokens81k contextJul 7, 2025

about 0.06¢ a message

A typical message: about 500 tokens you send and 500 it writes.

Also:Morph V3 Fast

Published facts from the catalog, billed prices and what we measured here. Anything not measured says so.

Price, billed here

Input, per 1M tokens
$0.44provider $0.40
Output, per 1M tokens
$0.66provider $0.60
Margin
+10%

Context and formats

Context window
81,920 tokens
Longest answer
38,000 tokens
Reads
text
Makes
text
First listed
2025-07-07

Measured here, last 7 days

First token, median
not measured
Answered without error
not measured

Tools and JSON

Tool calling
not declared
JSON output
not declared

Price and latency history as JSON: GET /api/planet/history?id=morph/morph-v3-fast:batch.

Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: {instruction} {initial_code} {edit_snippet} ...

In Morph's words.

The answer appears here.

Use one OpenAI compatible endpoint, this model's id and an am_live_ key from the dashboard. You can also try it in chat first with no key.

curl https://useantimatter.com/v1/chat/completions \
  -H "Authorization: Bearer $ANTIMATTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "morph/morph-v3-fast:batch", "messages": [{"role": "user", "content": "Hello"}]}'

Everything else is in the docs.

A badge showing this model's live price per million tokens, as billed here, for a README or a site. It links back to this page.

Morph V3 Fast (batch) price on Antimatter
<a href="https://useantimatter.com/planet/morph/morph-v3-fast%3Abatch"><img src="https://useantimatter.com/api/badge/price?id=morph%2Fmorph-v3-fast%3Abatch" alt="Morph V3 Fast (batch) price on Antimatter" height="28"></a>

Closest in price and memory, from other labs.

Go back to the map, or take this model into a chat.