Arcee AI: Coder Large

Public pricingIntelligence 79/100Medium memory工具调用

Arcee AI: Coder Large 是一款文本模型,适合编码、调试和技术工作。它结合了强大的编码能力、33K tokens上下文和均衡成本定位,可在coding, debugging, and technical writing中提供可靠表现。它适合重视质量、速度与成本的团队,能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.50/1M

Output

$0.80/1M

Cached

$0.05/1M

Batch

$0.25/1M

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What would Coder Large cost you?

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Technical specifications

Coder Large at a glance.

Memory

32,768

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

Released

May 2025

Training cutoff

Dec 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Coder Large

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

FAQ

Coder Large — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Coder Large costs roughly $70 per month. Input is $0.50 /1M tokens and output is $0.80 /1M tokens.
Coder Large has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.
Beyond text generation, Coder Large supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Coder Large was released in May 2025, with training data cut off around December 2024.
Models in a similar class include Gemini 3 Flash Preview, Kimi K2.5, Kimi K2 0905. The "Similar models" section below this FAQ links into each.

Still unsure?

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