Context Window
32,768
Tokens
Model Cost Profile
Arcee AI: Coder Large
Developer: arcee-ai
Pricing updated Mar 11, 2026
Input rank: #203Output rank: #156
Arcee AI: Coder Large, developed by arcee-ai, features an extensive context window of 32,768 tokens, making it ideal for complex coding tasks and large-scale software projects. Teams can leverage this model for real-time code generation, debugging, and documentation, ensuring efficient collaboration across development cycles. With an input price of $0.50 per million tokens and an output price of $0.80 per million tokens, organizations can effectively manage costs while maximizing productivity in their coding initiatives.
Input Price / 1M
$0.5000
Prompt tokens
Output Price / 1M
$0.8000
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.5000 |
| Output (Completion) | $0.8000 |
Price History
Arcee AI: Coder Large Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.5000
Current Output / 1M
$0.8000
Cost Calculator
Estimate monthly spend for Arcee AI: Coder Large based on your workload.
01.0B
0500M
Estimated Monthly Cost
$22
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for Arcee AI: Coder Large.
How much does Arcee AI: Coder Large cost per 1M input tokens?
Arcee AI: Coder Large input pricing is $0.5000 per 1M tokens based on the latest synced provider data.
How much does Arcee AI: Coder Large cost per 1M output tokens?
Arcee AI: Coder Large output pricing is $0.8000 per 1M tokens based on the latest synced provider data.
What context window does Arcee AI: Coder Large support?
Arcee AI: Coder Large supports a context window of 32,768 tokens.
How can I compare Arcee AI: Coder Large with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.