AI Observatory / Model Radar
Arcee Ai / arcee-ai/coder-large
Arcee AI: Coder Large
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...
32,768
Context
N/A
Max output
$0.50 / 1M
Prompt price
2025-05-05
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Arcee Ai | Input modalities | text |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.50 / 1M |
| Completion price | $0.80 / 1M | Request price | N/A |
| Context length | 32,768 | Max completion tokens | N/A |
| Supported parameters | frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, stop, temperature, top_k, top_p | ||
Best for
arcee-ai/coder-large
Arcee AI: Coder Large
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...
Coding workflows
High-volume usage
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.