Deployment Brief

Arcee AI: Coder Large

Arcee AI: Coder Large is a balanced model with standard context support, suited to code generation for enterprise teams.

Try Arcee AI: Coder Large with your team

Last reviewed: 2026-04-28

Context Window

32,768

Input / 1M

$0.75

Output / 1M

$1.20

What can you do with Arcee AI: Coder Large?

Practical ways teams can use Arcee AI: Coder Large inside governed AI workflows.

Code and debug with Arcee AI: Coder Large

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with Arcee AI: Coder Large.

Build workflow automations with Arcee AI: Coder Large

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with Arcee AI: Coder Large.

Improve security reviews with Arcee AI: Coder Large

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with Arcee AI: Coder Large.

Create presentations with Arcee AI: Coder Large

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with Arcee AI: Coder Large.

Summarize long documents with Arcee AI: Coder Large

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with Arcee AI: Coder Large.

Analyze spreadsheets with Arcee AI: Coder Large

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with Arcee AI: Coder Large.

Draft customer communications with Arcee AI: Coder Large

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with Arcee AI: Coder Large.

Prepare legal and compliance reviews with Arcee AI: Coder Large

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with Arcee AI: Coder Large.

Research competitors and markets with Arcee AI: Coder Large

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with Arcee AI: Coder Large.

Create knowledge-base answers with Arcee AI: Coder Large

Answer employee questions from internal policies, product docs, training material, and operating procedures with Arcee AI: Coder Large.

Support finance planning with Arcee AI: Coder Large

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with Arcee AI: Coder Large.

Generate product and marketing copy with Arcee AI: Coder Large

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with Arcee AI: Coder Large.

Why this model

Arcee AI: Coder Large is available in Remova as a standard context option with $0.75 per 1M tokens input pricing, $1.20 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

Arcee AI: Coder Large offers standard context capacity for enterprise prompts and documents.
Current Remova pricing band is balanced: $0.75 per 1M tokens input and $1.20 per 1M tokens output.
Best-fit workloads include: Code generation.
Route requests by policy tier so teams do not overuse capability.

At a glance

Model ID: arcee-ai/coder-large
Context Window: 32,768 tokens
Modality: text->text
Input Modalities: text
Output Modalities: text
Input Price: $0.75 per 1M tokens
Output Price: $1.20 per 1M tokens
Provider: Arcee Ai
Listing Date: 2025-05-05

Strengths

Arcee AI: Coder Large is suited for code generation.
Supports standard context for multi-step prompts and larger working sets.
Pricing profile is balanced, enabling predictable workload routing decisions.
Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

Prompt standards are still needed to keep output quality consistent across teams.
Standard context limits may require chunking or retrieval strategies for large documents.
Balanced-price tiers still need policy-based routing to protect monthly budgets.
Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

Arcee AI: Coder Large for software delivery workflows with policy-enforced prompts.
Arcee AI: Coder Large for governed enterprise assistant workflows across teams.
Arcee AI: Coder Large for governed enterprise assistant workflows across teams.
Arcee AI: Coder Large for governed enterprise assistant workflows across teams.

Rollout checklist

Define where Arcee AI: Coder Large is default vs. fallback in your routing policy.
Enable role-based access and policy checks before opening access broadly.
Set spend guardrails by team and monitor weekly token consumption.
Define escalation rules to premium models before launch.
Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

Tuning notes

frequency_penalty

Tune repetition control for long responses in multi-step workflows.

logit_bias

Use this parameter only with tested defaults in production workflows.

max_tokens

Set completion limits to avoid unpredictable long-output spend.

min_p

Use this parameter only with tested defaults in production workflows.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Knowledge Hub

Arcee AI: Coder Large FAQs

Choose Arcee AI: Coder Large when the workload aligns with code generation and quality targets justify its pricing profile.

It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.

Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try Arcee AI: Coder Large with your team