Morph
morph-v3-fast-apply
Overall 71commercialMorph's Fast Apply model merges AI-generated code edits at 10,500+ tokens/sec with 98% accuracy. 10x faster than alternatives like GPT-4.1 (55 tok/s) or Claude Sonnet (80 tok/s).
Capability profile
Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.
Benchmark summary
State-of-the-art code editing: 10,500 tok/s at 98% accuracy, used by Binance, Zo Computer, and HeroUI.
No benchmark series is attached to this model yet. Source links and product metadata are available below.
Strengths
- • 10,500 tok/s editing speed
- • 98% accuracy
- • OpenAI-compatible API
- • SOC2 certified
- • Self-hostable
Trade-offs
- • Specialized for code editing only
- • No general reasoning
Crawlable benchmark analysis
morph-v3-fast-apply is positioned as a code editing model with published scores that emphasize its practical fit for buyers evaluating the entry.
Published scores highlight reasoning 55/100, coding 92/100, enterprise readiness 85/100, vision 10/100, speed 99/100, and safety 75/100.
Pricing starts at $0.0008 per 1K input tokens and $0.002 per 1K output tokens. With a context window of 128,000 tokens, it supports large-document analysis and retrieval workflows.
Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.
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