Morph V3 Large
by Morph · morph/morph-v3-large · #196 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:33 AM UTC · refreshed hourly
Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code>...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.90
per 1M tokens
Output
$1.90
per 1M tokens
Blended (3:1)
$1.15
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Morph V3 Large (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $1.15 | $0.0937 | — |
| 50% | $1.15 | $0.0937 | −0% |
| 90% | $1.15 | $0.0937 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.00102 | $1.02 |
| Document summary | 8,000 | 1,000 | $0.0091 | $9.10 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0308 | $30.80 |
| Long-context analysis | 150,000 | 5,000 | $0.1445 | $144.50 |
Specs
Context window
262K
tokens
Max output
131K
tokens
Input modalities
text
Tokenizer
Other