Morph: Morph V3 Large
Morph • LLM
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>...
Specifications
Context Window
262K tokens
Input Price/1M
$0.90
Output Price/1M
$1.90
Parameters
—
Max Output
131K tokens
Information
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Morph: Morph V3 Large
What is Morph: Morph V3 Large?
Morph: Morph V3 Large is an AI model developed by Morph, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Morph's cloud API. With a context window of 262K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Morph: Morph V3 Large is usage-based, priced at $0.9/1M input tokens and $1.9/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
We don't have detailed benchmark results for Morph: Morph V3 Large yet. Benchmarks are updated weekly as new data becomes available from sources like Artificial Analysis, LM Arena, and LiveBench.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Morph: Morph V3 Large is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Morph: Morph V3 Large competes directly with similarly capable models. Morph competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Morph: Morph V3 Large?
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>...
How much does Morph: Morph V3 Large cost?
Morph: Morph V3 Large costs $0.9/1M input tokens and $1.9/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Morph: Morph V3 Large compare with other models?
We don't have detailed benchmarks for Morph: Morph V3 Large yet. Check the main benchmark page to compare available models.
Is Morph: Morph V3 Large open source?
No, Morph: Morph V3 Large is a proprietary model from Morph. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Morph: Morph V3 Large best for?
Morph: Morph V3 Large excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: May 24, 2026 • View methodology →