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Morph V3 Fast

Morph V3 Fast applies code edit suggestions from frontier models to your source files at high throughput. It supports 81.9K tokens input and 16.4K tokens output. On AI Gateway, pay $0.8 per million input tokens and $1.2 per million output tokens.

index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'morph/morph-v3-fast',
  prompt: 'Why is the sky blue?'
})
OverviewAboutProvidersThroughputLatencyUptimeStatusSimilarFAQ

Playground

Try out Morph V3 Fast by Morph. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

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Ask Morph V3 Fast anything to try it out.

Providers

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
ZDR
No Training
Release Date
Morph
82K
0.2s
5265tps
$0.80/M$1.20/M——
07/07/2025
Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.

Uptime

Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.

More models by Morph

Model
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
Providers
ZDR
No Training
Release Date
morph/morph-v3-large
82K
0.3s
15tps
$0.90/M$1.90/M——
morph logo
07/07/2025

About Morph V3 Fast

You send the original file, an edit snippet with // ... existing code ... markers, and an optional instruction. You get back the merged file.

Live throughput metrics appear on this page. Each edit uses on the order of 700 to 1,400 tokens, compared to 3,500 to 4,500 for a frontier model rewriting the whole file. The context window is 81.9K tokens; max output is 16.4K tokens.

Routine edits merge reliably: parameter additions, function body swaps, line insertions, and deletions. Harder cases, like logic redistribution across scopes or edits buried in duplicated structures, belong to the heavier variant or Morph's auto router.

`` Planning model --> edit snippet --> v3 Fast --> merged file --> disk ``

Any planning model that outputs lazy edit snippets works. Many tools use the same // ... existing code ... pattern. Drop v3 Fast into the file-write step. Your planning model stays the bottleneck, not the merge. Product details and benchmarks appear on https://morphllm.com/.

What To Consider When Choosing a Provider

  • Configuration: This is a merge tool, not an assistant. Place it between your planning model and the filesystem.
  • Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

When to Use Morph V3 Fast

Best For

  • Routine edit merges: Single-function changes, parameter additions, body replacements, and line-level insertions or deletions
  • Streaming coding UIs: Users watch edits land and expect fast visual feedback
  • High-volume batch runs: Per-edit cost and duration directly affect margin

Consider Alternatives When

  • Repeated merge failures: Route problematic edit patterns to the heavier variant
  • Automatic routing preference: Morph's auto mode handles complexity-based triage
  • General-purpose coding needs: You need a full coding model, not a merge primitive

Conclusion

Default to v3 Fast and escalate the rare failures. The merge step rarely sits on the critical path.