Coder Large
VerifiedSpecialized LLM for advanced code generation and engineering tasks.
About Coder Large
Designed as a closed-weight LLM, Coder Large focuses on understanding and producing code across diverse languages and frameworks. Its 32768-token context allows it to manage extended code files and project structures while maintaining consistency. The architecture prioritizes practical software development needs over general-purpose tasks.
Strengths include generating functional code snippets, identifying bugs, and suggesting optimizations based on its training. Typical usage involves integration into developer tools for tasks like refactoring, documentation, and feature implementation. Teams rely on it for efficient iteration within managed environments provided by Arcee-ai.
Capabilities
How Coder Large compares
Coder Large (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Coder Large ranks #47 of 98
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-context code analysis
The model handles codebases up to 32768 tokens, enabling review of entire modules or repositories in a single pass for identifying issues across files.
Code generation and debugging
It produces functional code snippets and diagnoses errors in existing programs, supporting iterative refinement for multiple programming languages.
Technical documentation and algorithm explanation
The model creates clear documentation from code and breaks down complex algorithms into step-by-step descriptions for developers and learners.
Strengths & limitations
Strengths
- +Coding-focused specialization
- +32k token context for codebases
- +Text-only efficiency
- +Developer workflow alignment
Limitations
- –Text modality only
- –Limited general-purpose breadth
- –No vision or multimodal input
Cost calculator
Estimate what Coder Large would cost for your usage.
Based on Coder Large's $0.50/1M input · $0.80/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "arcee-ai/coder-large",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: arcee-ai/coder-large
Editor's verdict
Coder Large is Arcee-ai's proprietary language models with a 33K-token context window.
At $0.80 per 1M output tokens, it is very cost-efficient for its class.
It is available through Arcee-ai's API and aggregators like OpenRouter.
Best suited to coding-focused specialization and 32k token context for codebases.
Frequently asked questions
Coder Large provides a context window of 32768 tokens.
User reviews
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