What is V3 Large API?
V3 Large is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 262,144 tokens / Max output: 131,072 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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V3 Large API Pricing
- Input: $1.17 / 1M tokens
- Output: $2.47 / 1M tokens
Where to Use V3 Large
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
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Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Complex multi-scope code edits are a documented use case for Morph V3 Large, especially when accuracy matters more than speed. It is also documented for merging AI-generated edit suggestions into source files as part of code-patching workflows.
It is suited to multi-scope refactors, including edits that change several functions or classes in one file. It is also described as useful for repetitive pattern edits and other cases where merge ambiguity is high.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "morph/morph-v3-large", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "morph/morph-v3-large", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"morph/morph-v3-large","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| MMLU | 87.1 | Multi-discipline knowledge across 57 school and professional subjects | Source | September 22, 2026 |
| MMLU-Pro | 75.9 | Multi-discipline knowledge + reasoning (harder MMLU) | Source | September 22, 2026 |
| GSM8K | 89.3 | Grade-school maths word problems requiring multi-step arithmetic | Source | September 22, 2026 |
| HumanEval | 65.2 | Python function synthesis from a docstring, scored by unit tests (pass@1) | Source | September 22, 2026 |
| LiveCodeBench | 40.5 | Contamination-free competitive programming problems | Source | September 22, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
V3 Large This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
V3 Large has a 262,144 tokens context window and can return up to 131,072 tokens.
V3 Large takes image, text as input and returns text.
Use morph/morph-v3-large as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
V3 Large is priced at input $1.23786 / 1M tokens, output $2.61326 / 1M tokens.
Yes, V3 Large can stream responses as they are generated.
Yes, V3 Large accepts image input alongside text.
V3 Large is available through the endpoint https://api.aimlapi.com/v1/chat/completions using the model id morph/morph-v3-large.
