Coder Large Pricing
FlagshipArcee AI · 33K tokens context
Coder Large from Arcee AI costs $0.500 per 1 million input tokens and $0.800 per 1 million output tokens as of July 2026 (live OpenRouter data). The model supports a 32,768-token context window (approximately 24,576 words) with a 32K-token maximum output. A typical 1,000-token request costs $0.0005 in input charges; a 10,000-token request costs $0.0050.
| Input price | $0.500 / 1M tokens |
|---|---|
| Output price | $0.800 / 1M tokens |
| Output / input ratio | 1.6× |
| Context window | 32,768 tokens (~24,576 words) |
| Maximum output | 32,000 tokens |
| Cost per 1K tokens (input) | $0.0005 |
| Tier | Flagship |
| Last verified |
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.
Input Price
$0.500
per 1 million tokens
Output Price
$0.800
per 1 million tokens
Context Window
33K tokens
max 32K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000666 | $0.00032 |
| 10-page document (2,500 words) | 3,333 | $0.00167 | $0.0008 |
| 1,000 lines of code | 5,000 | $0.0025 | $0.0012 |
| 100K token document | 100,000 | $0.05 | $0.024 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable at $0.50/1M input tokens
- ✓Frontier-class quality on complex tasks
- ✓Strong general-purpose performance
Limitations
- –Smaller 33K-token context limits long-document use
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate Coder Large Costs
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