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 refactoring or …
Model details →Arcee AI: Coder Large vs Qwen: Qwen-Max
Arcee AI: Coder Large wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen-Max, based on Qwen2.5, provides the best inference performance among [Qwen models](/qwen), especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-train…
Model details →Side-by-side comparison
| Capability | Arcee AI: Coder Large | Qwen: Qwen-Max | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 33K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.50 | $1.04 | 🏆 Arcee AI: Coder Large |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.80 | $4.16 | 🏆 Arcee AI: Coder Large |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: Qwen-Max |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Arcee AI: Coder Large better than Qwen: Qwen-Max?
Arcee AI: Coder Large wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Arcee AI: Coder Large and Qwen: Qwen-Max?
Input: $0.50 vs $1.04 per 1M tokens. Output: $0.80 vs $4.16 per 1M tokens.
What context windows do Arcee AI: Coder Large and Qwen: Qwen-Max support?
Arcee AI: Coder Large supports up to 33K tokens. Qwen: Qwen-Max supports up to 33K tokens.
Do both Arcee AI: Coder Large and Qwen: Qwen-Max support tool calling?
Arcee AI: Coder Large: not advertised. Qwen: Qwen-Max: yes.