Independent AI API proxy

Claude API models through CorvusLLM

Use one CorvusLLM key with supported Claude model rows for coding agents, research, writing, and automation through an OpenAI-compatible proxy route.

Independent service. Not affiliated with OpenAI, Anthropic, Google, or Z.AI.

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6 public Claude rowsCurrent indexable model catalog from CorvusLLM data.
Prepaid balanceTop up once and route requests by model slug.
Card, wallet, or crypto checkoutAvailable methods appear before order creation.
Direct answer

Use this page to choose the right public Claude slug.

This page is the Claude-family buying and selection page. Use it to compare current CorvusLLM Claude rows, public slugs, prepaid prices, cache pricing context, and the safer setup path before sending real project context.

  • Use Opus rows when quality and deep reasoning matter most.
  • Use Sonnet rows for balanced coding, writing, and agent workflows.
  • Use Haiku rows for faster lightweight automation and extraction.
  • Verify exact rows in data/models.json before production traffic.
Source of truth

Use the right source for each decision

Model pages are for selection. Exact technical setup, live availability, and private account state belong to the linked sources.

Question Use this source Why it matters
Which slug should I send? data/models.json and model docs They expose customer-facing slugs and avoid hidden route, backup, or provider-account names.
What will it cost? cost calculator and pricing tracker Input, output, cache read, and cache write can change the final billed amount.
How do I configure my tool? Claude Code setup Client setup depends on whether the tool expects OpenAI-compatible or provider-native fields.
Family selection matrix

Choose the Claude row by workload

This matrix turns the model list into a decision table for searchers comparing quality, cost, and fit before they buy.

Model row Best fit Check first Input Output Cache read
Claude Haiku 4.5claude-haiku-4-5 Fast lightweight summarization, extraction, and automation. Avoid when complex reasoning, large code changes, or premium writing quality are required. $0.350/1M $1.75/1M $0.035/1M
Claude Opus 4.5claude-opus-4-5 Highest-quality coding, research, and multi-step reasoning work. Avoid for very cheap high-volume extraction unless quality justifies the spend. $1.75/1M $8.75/1M $0.175/1M
Claude Opus 4.6claude-opus-4-6 Highest-quality coding, research, and multi-step reasoning work. Avoid for very cheap high-volume extraction unless quality justifies the spend. $1.75/1M $8.75/1M $0.175/1M
Claude Opus 4.7claude-opus-4-7 Highest-quality coding, research, and multi-step reasoning work. Avoid for very cheap high-volume extraction unless quality justifies the spend. $1.75/1M $8.75/1M $0.175/1M
Claude Sonnet 4.5claude-sonnet-4-5 Balanced agent, coding, writing, and analysis workloads. Use Opus instead when the task needs maximum depth; use Haiku for the cheapest short jobs. $1.05/1M $5.25/1M $0.105/1M
Claude Sonnet 4.6claude-sonnet-4-6 Balanced agent, coding, writing, and analysis workloads. Use Opus instead when the task needs maximum depth; use Haiku for the cheapest short jobs. $1.05/1M $5.25/1M $0.105/1M
Configuration values

Copy the correct endpoint pattern

These are the stable public setup values for Claude workloads. Client-specific screens are explained in the linked setup docs.

Configuration field Value When to use it
OpenAI-compatible base URL https://base.corvusllm.com/v1 Use this for OpenAI SDKs, curl, fetch, Open WebUI, n8n, ChatBox, and tools with a custom OpenAI-compatible endpoint field.
Anthropic-native base URL https://base.corvusllm.com/anthropic Use this only for Claude Code style clients that expect Anthropic-compatible request behavior.
Authorization header Bearer YOUR_CORVUSLLM_KEY Paste the delivered prepaid key. Do not expose it in browser-side production code or public repositories.
Model parameter Use the public slug from this page Use customer-facing slugs only. Do not send private route names, upstream account names, or backup identifiers.
First test Send one low-risk prompt Confirm output quality, response status, and billed usage before sending real project context.
Pricing check /llm-api-cost-calculator Estimate input, output, cache read, and cache write before bulk traffic.
Current catalog

Claude model rows

These rows mirror the public model catalog and pricing tracker. Always confirm live availability before moving production traffic.

Claude Opus 4.5

Highest-capability Claude row for deep coding, research, and multi-step reasoning.

model: claude-opus-4-5
  • CorvusLLM input: $1.75/1M - official input: $5.00/1M
  • CorvusLLM output: $8.75/1M - official output: $25.00/1M
  • CorvusLLM cache read: $0.175/1M - official cache read: $0.500/1M
  • Pricing reference checked on 2026-04-29 from official provider pricing.
Open model detailSlug, cache fields, source, and setup links

Claude Opus 4.6

Highest-capability Claude row for deep coding, research, and multi-step reasoning.

model: claude-opus-4-6
  • CorvusLLM input: $1.75/1M - official input: $5.00/1M
  • CorvusLLM output: $8.75/1M - official output: $25.00/1M
  • CorvusLLM cache read: $0.175/1M - official cache read: $0.500/1M
  • Pricing reference checked on 2026-04-29 from official provider pricing.
Open model detailSlug, cache fields, source, and setup links

Claude Opus 4.7

Highest-capability Claude row for deep coding, research, and multi-step reasoning.

model: claude-opus-4-7
  • CorvusLLM input: $1.75/1M - official input: $5.00/1M
  • CorvusLLM output: $8.75/1M - official output: $25.00/1M
  • CorvusLLM cache read: $0.175/1M - official cache read: $0.500/1M
  • Pricing reference checked on 2026-04-29 from official provider pricing.
Open model detailSlug, cache fields, source, and setup links

Claude Sonnet 4.5

Balanced Claude row for coding agents, writing, analysis, and day-to-day assistant work.

model: claude-sonnet-4-5
  • CorvusLLM input: $1.05/1M - official input: $3.00/1M
  • CorvusLLM output: $5.25/1M - official output: $15.00/1M
  • CorvusLLM cache read: $0.105/1M - official cache read: $0.300/1M
  • Pricing reference checked on 2026-04-29 from official provider pricing.
Open model detailSlug, cache fields, source, and setup links

Claude Sonnet 4.6

Balanced Claude row for coding agents, writing, analysis, and day-to-day assistant work.

model: claude-sonnet-4-6
  • CorvusLLM input: $1.05/1M - official input: $3.00/1M
  • CorvusLLM output: $5.25/1M - official output: $15.00/1M
  • CorvusLLM cache read: $0.105/1M - official cache read: $0.300/1M
  • Pricing reference checked on 2026-04-29 from official provider pricing.
Open model detailSlug, cache fields, source, and setup links

What Claude is best for

  • Coding assistants and agent loops
  • Longer reasoning and analysis work
  • Writing, summarization, and extraction workflows

How pricing works

CorvusLLM deducts usage from prepaid balance using its listed input, output, cache-read, and cache-write rates where applicable. Official prices are shown as comparison references, not invoices from the provider.

Data handling warning

Do not send sensitive or regulated data through shared API proxies. Use direct providers or enterprise-reviewed infrastructure for regulated workloads.

Fit warning

When Claude through CorvusLLM is not the right choice

Clear limits reduce mismatched traffic and make the page more useful than a generic model catalog.

Check fit first

Lowest-cost high-volume extraction where a cheaper public catalog row gives acceptable quality.

Check fit first

Official Anthropic procurement, enterprise support, or direct Anthropic account management.

Check fit first

Sensitive, regulated, or confidential data that should not pass through a shared proxy.

Setup paths

Use the exact base URL and slug

Start with the setup guide that matches your tool, then switch only the model parameter when changing rows in this family.

Claude Code setupSetup and implementation details OpenAI-compatible SDKsSetup and implementation details Model catalog docsSetup and implementation details Cost calculatorEstimate usage before top-up Pricing trackerCurrent reference table Trust CenterLimits and safety notes
Compare pricing

Check cost before top-up

Use the calculator and source-linked tracker together before moving real workloads onto a third-party proxy route.

Cost calculatorEstimate input, output, and cache usage Pricing trackerOfficial-rate comparison context OpenRouter alternativeCompare gateway fit before buying
Verify before you buy

Use proof pages for risk checks

These pages explain service limits, support paths, and operational evidence without implying official provider affiliation.

Trust CenterLimits, data handling, and support Verify CorvusLLMBuyer checklist Proof of OperationsEvidence index Service StatusCurrent routing health Customer StoriesPublic usage examples Before you buyPractical proxy trade-offs
Family FAQ

Claude API questions

Short answers for buyers, developers, and AI assistants that need the canonical setup path.

Which base URL should I use for Claude through CorvusLLM?

Use https://base.corvusllm.com/v1 for OpenAI-compatible clients and https://base.corvusllm.com/anthropic for Claude Code style Anthropic-native clients.

Do I need an official Anthropic account to use these Claude rows?

No. You use a prepaid CorvusLLM key, but CorvusLLM is an independent proxy and not an official Anthropic account, partner, subscription, or support contract.

Which Claude model should I start with?

Start with Sonnet for balanced work, Opus for maximum quality, and Haiku for lightweight tasks.

What should I check before using Claude in production?

Read Claude Code setup, confirm the exact public slug, run one low-risk request, check billed usage, and avoid sensitive or regulated data on shared proxy infrastructure.

Compare a small test before scaling.

Use a low-risk prompt, confirm the exact model slug, then compare output quality and billed usage before larger workloads.

Get API Key All Models
Topic map

Continue with the right source

Move from model selection to exact slugs, cost estimates, billing behavior, and service limits without relying on old screenshots.

models AI Models The CorvusLLM model catalog directory helps users find current customer-facing model families, public slugs, pricing context. docs Use the canonical customer slug and keep it simple. Models & Slugs: Every customer-facing model with one customer slug, provider family, pricing. pricing AI API Pricing Tracker The pricing tracker compares official provider API prices with CorvusLLM public prepaid rates and links the model data used fo. pricing LLM API cost calculator The CorvusLLM cost calculator estimates request cost from input, output, cache read. landing Claude API Pricing Comparison CorvusLLM lists public Claude-family rows at 35% of tracked official input, output, cache-read. landing AI API Cache Token Pricing Cache-heavy requests can cost very differently from short prompts because cache read and cache write fields may dominate the b. landing Claude, GPT, Gemini & DeepSeek API CorvusLLM offers one independent endpoint for supported Claude, GPT, Gemini, and DeepSeek access. landing AI API for Cursor CorvusLLM can be used in Cursor builds that expose custom provider fields; this page explains the commercial fit. landing OpenAI-Compatible AI API Proxy CorvusLLM provides an independent OpenAI-compatible AI API proxy for buyers who need prepaid balance, setup docs. landing OpenRouter Alternative for Prepaid AI API Access The OpenRouter alternative page compares CorvusLLM with broader AI gateways by fit, model breadth, billing style, setup. docs bills against the customer key balance and stops at zero. Billing, Balance & Cache: How prepaid balance works, how same-key top-ups work, how usage deductions, out-of-balance behavior. trust Trust Center The Trust Center explains affiliation, data handling, support, refunds, compatibility evidence, pricing methodology. trust How to Verify CorvusLLM Before You Buy The verification checklist shows how to test CorvusLLM claims, endpoint setup, pricing data, status, legal pages. trust Proof of Operations Proof of Operations collects public evidence assets, published data, operational boundaries.