Arcee AI • LLM
Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...
Context Window
33K tokens
Input Price/1M
$0.50
Output Price/1M
$0.80
Parameters
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Arcee AI: Coder Large is an AI model developed by Arcee AI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Arcee AI's cloud API. With a context window of 33K tokens, it is suitable for processing medium-sized documents like articles, reports, and code sections.
Arcee AI: Coder Large is usage-based, priced at $0.5/1M input tokens and $0.8/1M 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.
We don't have detailed benchmark results for Arcee AI: Coder 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.
Arcee AI: Coder Large is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Arcee AI: Coder Large competes directly with similarly capable models. Arcee AI 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.
Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...
Arcee AI: Coder Large costs $0.5/1M input tokens and $0.8/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
We don't have detailed benchmarks for Arcee AI: Coder Large yet. Check the main benchmark page to compare available models.
No, Arcee AI: Coder Large is a proprietary model from Arcee AI. It is available via cloud API. For open source alternatives, check our open source model ranking.
Arcee AI: Coder Large excels at general-purpose language tasks.
Last updated: May 24, 2026 • View methodology →