Morph V3 Fast API82K context
Morph's fastest apply model for code edits.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).
What is Morph V3 Fast?
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>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>...
Morph V3 Fast pricing
Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):
| Model | Input / 1M | Output / 1M | Cache read | Cache write | Context |
|---|---|---|---|---|---|
| Morph V3 Fast | $0.80 | $1.20 | — | — | 82K |
On output price, Morph V3 Fast is cheaper than 56% of the 309 models in the catalog.
What Morph V3 Fast costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | $46.40 |
| RAG / knowledge base | 200M / 20M | $184 |
| Coding agent | 80M / 25M | $94.00 |
| Batch extraction | 150M / 8M | $130 |
| Content generation | 20M / 40M | $64.00 |
Estimate your own monthly cost
Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.
Morph V3 Fast vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| Morph V3 Fast | $0.80 | $1.20 | 82K | — |
| Morph V3 Large | $0.90 | $1.90 | 262K | — |
| Virtuoso Large | $0.75 | $1.20 | 131K | — |
| KAT-Coder-Pro V2 | $0.30 | $1.20 | 256K | — |
| MiniMax M2-her | $0.30 | $1.20 | 66K | — |
When not to use Morph V3 Fast
- It is served by a single provider, so there is less failover headroom during an outage.
Specs
| Model ID | morph/morph-v3-fast |
| Modality | text->text (input: text) |
| Context window | 81,920 tokens |
| Max output | 38,000 tokens |
| Tool / function calling | — |
| Structured output (JSON) | — |
| Released | 2025-07-07 |
| Open weights | — (hosted API only) |
How to call Morph V3 Fast
from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
model="morph/morph-v3-fast",
messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)curl https://api.datallmlab.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"morph/morph-v3-fast","messages":[{"role":"user","content":"Hello"}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
model: "morph/morph-v3-fast",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes Morph V3 Fast and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for Morph V3 Fast
- Be explicit and show the shape of the answer. Spell out format, tone and constraints up front, and include one short example of the output you want — Morph V3 Fast follows concrete instructions better than abstract ones.
Tips are derived from Morph V3 Fast's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for Morph V3 Fast
Popular open-source frameworks and agents to build with Morph V3 Fast over the API — star counts pulled from GitHub (July 2026).
Listed by GitHub stars; inclusion is by ecosystem relevance (agent frameworks, SDKs and gateways), not affiliation. Stars change — see each repo for current numbers.
Migrating to Morph V3 Fast
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → morph/morph-v3-fast. Messages, streaming and the rest of your code stay the same. Routing & failover guide.
Rate limits & reliability
Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff. See the error-code guide and failover setup.
Related reading
Call Morph V3 Fast with one key
300+ models behind one OpenAI-compatible endpoint — better prices, better uptime, no subscriptions.
Get an API keyCompare pricingFrequently asked questions
What is Morph V3 Fast?
Morph's fastest apply model for code edits. It accepts text input with a 82K-token context window and was released on 2025-07-07. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does Morph V3 Fast cost?
On DataLLM Lab it is $0.80 per 1M input tokens and $1.20 per 1M output tokens — cheaper than about 56% of the 309-model catalog on output price. Pay-as-you-go, no subscription.
What is the context window of Morph V3 Fast?
82K tokens, with up to 38K max output tokens.
Is Morph V3 Fast open source?
No open weights are published — it is available through hosted API access only.
How do I call the Morph V3 Fast API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "morph/morph-v3-fast". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.
What are good alternatives to Morph V3 Fast?
Close options by price and capability include Morph V3 Large, Virtuoso Large, KAT-Coder-Pro V2 — all callable with the same DataLLM Lab key.