Summary
Quick Decision Matrix (March 2026)
- Choose Amp if: You want to use the best model per task (Claude for coding, GPT-5.3 for reasoning, Gemini for review), need team thread sharing, or prefer IDE-agnostic tooling
- Choose Claude Code if: You need coordinated Agent Teams with shared task lists and dependency tracking, deterministic outputs, or deep CLAUDE.md-driven workflows
- Choose both if: Your team already uses Claude Code for orchestration and wants Amp for tasks that benefit from GPT-5.3 deep reasoning
The core trade-off: Amp gives you access to every frontier model through one interface, with team collaboration built in. Claude Code gives you one model family with the deepest possible integration, including Agent Teams that coordinate multiple sub-agents with shared task lists. Amp is the better team tool. Claude Code is the better orchestration engine.
Stat Comparison
These tools optimize for different things. Amp maximizes model coverage and team features. Claude Code maximizes agent depth and consistency.
Amp (Sourcegraph)
Model-agnostic orchestrator with team threads
"Best model diversity and team features in any terminal agent."
Claude Code
Native Claude agent with coordinated teams
"Deepest agent coordination, but locked to one model provider."
Platform Stats (March 2026)
Amp
- Sourcegraph: 800K+ developers, 54B+ lines indexed
- Models: Claude Opus 4.6, GPT-5.3-Codex, Gemini 3 Pro
- CLI + VS Code + JetBrains + Neovim + Zed + Cursor
- Spun off into Amp Inc. (Quinn Slack, Beyang Liu)
- Enterprise: $59/user/month with SSO
Claude Code
- 71,500 GitHub stars, 51 contributors
- Ships multiple releases per day
- VS Code: 5.2M installs, 4.0/5 rating
- Agent Teams (research preview), hooks, auto-memory
- ~135K GitHub commits/day (~4% of all public commits)
Model Routing: Amp's Core Advantage
Amp does not just support multiple models. It routes to different models for different subtasks within the same session. This is architecturally different from tools that let you switch models manually.
| Task | Amp Model | Claude Code Model |
|---|---|---|
| Primary coding | Claude Opus 4.6 (Smart mode) | Claude Opus 4.6 or Sonnet 4.6 |
| Deep reasoning | GPT-5.3-Codex (Deep mode) | Claude Opus 4.6 extended thinking |
| Code review | Gemini 3 (Review agent) | Claude (same model) |
| Image generation | Gemini 3 Pro (Painter) | Not supported |
| Complex debugging | GPT-5.2 (Oracle, auto-triggered) | Claude with extended thinking |
| Cross-repo search | Librarian (Sourcegraph backend) | Grep + Glob tools |
Three Modes, Three Models
Amp has three primary modes. Smart uses Claude Opus 4.6 for standard coding tasks. Rush uses a faster, cheaper model for small, well-defined changes. Deep engages GPT-5.3-Codex for extended reasoning on hard problems. You can switch modes mid-session with Ctrl+S or let Amp auto-route.
The Oracle is separate from modes. It uses GPT-5.2 with medium reasoning and can be triggered automatically when Amp detects a task is unusually complex, or manually by saying "use the oracle." This means a single Amp session might use Claude for the initial implementation, auto-escalate to the Oracle for a tricky debugging step, and finish with Gemini for a code review.
Claude Code: One Model, Full Stack
Claude Code only runs Claude models. The trade-off is that every layer of the agent is tuned specifically for Claude: the prompting strategy, tool use patterns, context management, and error recovery are all co-designed with the model. When Claude Code spawns Agent Teams, every sub-agent is Claude. This consistency makes multi-agent coordination more predictable. In an Amp subagent workflow, different models might produce incompatible output styles that the orchestrator has to reconcile.
The Model Lock-in Question
If Anthropic ships a bad Claude update, Claude Code users have no fallback. Amp users can switch to GPT-5.3 or Gemini within minutes. This has already happened: when Claude Sonnet 4.5 initially shipped with regressions in tool use, Amp users switched to GPT-5 while Claude Code users waited for a fix.
Subagent Architecture
Both tools support subagents, but the implementations are very different. Amp has specialized, purpose-built agents. Claude Code has general-purpose agents that coordinate through a shared task system.
| Aspect | Amp | Claude Code |
|---|---|---|
| Subagent model | Specialized: Oracle, Librarian, Painter, Review | General-purpose Agent Teams |
| Coordination | Independent, no inter-agent messaging | Shared task list, dependency tracking, messaging |
| Context isolation | Each subagent has isolated context | Each agent in worktree, shared team config |
| Max agents | User-specified (e.g., 'use 3 subagents') | Team-lead spawns as needed |
| Cross-repo search | Librarian: GitHub + Bitbucket Enterprise | File-level grep within project |
| Visual generation | Painter: Gemini 3 Pro images | Not available |
Amp: Specialist Agents
Each Amp subagent is purpose-built. The Oracle reasons through complex problems with GPT-5.2. The Librarian searches across repositories using Sourcegraph's code intelligence. The Painter generates images with Gemini 3. You invoke them explicitly or Amp routes to them automatically.
Claude Code: Coordinated Teams
Claude Code's Agent Teams are general-purpose. Each agent gets its own context window and git worktree. They share a task list with dependency tracking and can send messages to each other. The team-lead agent coordinates, blocking downstream tasks until dependencies complete.
Amp: Subagent Workflow
# Use subagents explicitly
$ amp "Convert all CSS files to Tailwind. Use 3 subagents."
# Amp spawns 3 isolated agents, each handling a subset of files
# Oracle auto-triggers on complex debugging
$ amp "Debug this race condition in the payment flow"
# Amp detects complexity, escalates to Oracle (GPT-5.2)
# Oracle reasons through the concurrency issue
# Primary agent applies the fix
# Code review with Gemini
$ amp "Review the PR for security issues"
# Review agent uses Gemini 3 for analysisClaude Code: Agent Teams Workflow
# Agent Teams with dependency tracking
$ claude "Build the payment integration"
# Claude Code automatically:
# 1. Creates team with shared task list
# 2. Spawns researcher agent -> explores Stripe SDK
# 3. Spawns implementer agent -> blocked until research done
# 4. Spawns test agent -> writes tests in parallel
# Agents message each other: "research complete, 3 patterns found"
# Task deps prevent implementer from starting earlyAmp's approach is more modular. You pick which specialist agent to use, or let Amp decide. Claude Code's approach is more integrated. The team-lead agent orchestrates everything, tracking dependencies and passing context between agents. For tasks where subtasks are independent (CSS-to-Tailwind conversion, batch file processing), Amp's approach is simpler. For tasks with complex dependencies (full-stack features, multi-service refactors), Claude Code's coordination wins.
Team Features: The Biggest Gap
This is where the tools diverge most sharply. Amp was built for dev teams from the start. Claude Code was built for individual developers and is adding team features incrementally.
| Feature | Amp | Claude Code |
|---|---|---|
| Thread sharing | Public, unlisted, workspace, group-shared | Not available (agent-to-agent only) |
| Knowledge reuse | Search past threads by keyword, file, author | CLAUDE.md + auto-memory per project |
| Public profiles | ampcode.com/@username | Not available |
| Enterprise SSO | Okta, SAML, directory sync | Through Anthropic org management |
| Cost attribution | Per-group credit tracking | Per-user via Anthropic dashboard |
| Command allowlisting | Define exactly which CLI commands agents can run | Permission prompts per command |
| Analytics | Enterprise analytics API | Basic usage stats |
Thread Sharing Changes the Workflow
When a developer solves a hard problem with Amp, they can share that thread with the team. Other developers can search it by keyword, file path, or date. They can reference it in their own threads via @-mention. This creates an organic knowledge base of solved problems, searchable by anyone on the team.
Claude Code does not have an equivalent. Its knowledge sharing is through CLAUDE.md files (static instructions) and auto-memory (per-project context that persists across sessions). These work well for individual developers but do not capture the interactive problem-solving process that threads preserve.
Enterprise Security
Amp offers zero data retention for enterprise customers, meaning text inputs are not stored by the LLM providers. It also has MCP server approval workflows (untrusted repositories cannot auto-execute code), IP allowlisting, and managed settings that admins push to all users.
Claude Code's security model relies on permission prompts (approve/deny per command), auto-accept mode for trusted workflows, and hooks for custom automation. It lacks the centralized admin controls that Amp provides for larger organizations.
Pricing: Pay-Per-Token vs Subscription
Completely different pricing models. Amp charges for what you use. Claude Code bundles into subscriptions.
| Tier | Amp | Claude Code |
|---|---|---|
| Free | $10/day grant (closed to new signups) | No free tier |
| Individual | Pay-as-you-go, no markup on model costs | Pro: $20/mo (usage limits apply) |
| Mid-tier | Same pay-as-you-go | Max 5x: $100/mo (5x Pro usage) |
| Power user | Same pay-as-you-go (scales with usage) | Max 20x: $200/mo (20x Pro usage) |
| Enterprise | $59/user/mo + 50% premium on credits | Custom pricing via Anthropic |
Which Is Cheaper?
It depends on usage volume. Amp's free tier ($10/day, ~$300/month value) is extremely generous for users who got in. For paid users, Amp passes through model costs at par, so you pay exactly what Claude, GPT-5.3, and Gemini charge. If you spend under $100/month on model costs, Amp is cheaper than Claude Max 5x. If you consistently use $200+/month in model costs, Claude Max 20x gives you unlimited usage at a fixed price, which is cheaper.
The key difference: Claude Code's subscription means you pay the same whether you use it lightly or heavily. Amp's pay-as-you-go means light months are cheap but heavy months can exceed subscription costs. For teams, Amp's pooled workspace credits add flexibility that per-seat subscriptions lack.
The Agent Teams Cost Multiplier
Claude Code's Agent Teams multiply limit consumption proportionally to the number of sub-agents spawned. Three agents working in parallel consume limits 3x faster. On the $20 Pro tier, this means you might exhaust your allocation in a single complex task. On Amp, subagent costs are transparent: you see the exact token cost per agent in real time.
CLI and Editor Support
Both are terminal-first tools, but Amp has broader editor coverage.
| Platform | Amp | Claude Code |
|---|---|---|
| Terminal CLI | Yes (custom high-performance TUI) | Yes (Node.js-based) |
| VS Code | Extension | Extension (5.2M installs) |
| JetBrains | Extension (IntelliJ, WebStorm, GoLand) | Extension |
| Neovim | Dedicated plugin | Community plugins |
| Zed | Supported | Not supported |
| Cursor | Supported (runs inside Cursor) | Not supported (competitor) |
| Windsurf | Supported | Not supported |
Amp runs inside Cursor and Windsurf as an extension, which is a notable competitive move. You can use Amp's model routing and team features inside a competitor's editor. Claude Code, as an Anthropic product, does not integrate with competing AI editors.
CLI Differences
Amp's CLI uses a custom TUI framework that the team says eliminates the flickering common in terminal-based agent interfaces. It supports 7 built-in themes, custom themes via colors.toml, and keybindings configurable per OS and IDE. Claude Code's CLI is Node.js-based, ships multiple times per day, and prioritizes features (hooks, Agent Teams, auto-memory) over UI polish.
AGENTS.md vs CLAUDE.md
Both tools support project-level instruction files. Claude Code uses CLAUDE.md. Amp uses AGENTS.md (with YAML frontmatter support for glob-scoped instructions). Amp maintains backward compatibility with CLAUDE.md files, so switching from Claude Code to Amp requires only renaming the file. Both formats let you encode architecture decisions, coding conventions, and build/test commands that the agent follows.
Failure Modes
An independent reviewer deployed both tools on the same task: building and deploying a todo app to Fly.io. The results reveal how each tool fails differently.
Amp Failure Patterns
- Overproduction: Added linting, testing, and memory allocation beyond stated requirements
- Silent continuation: When local Docker testing failed, Amp continued without pausing for user input
- Model transition costs: When the Oracle escalates from Claude to GPT-5.2, the reasoning style shift can produce inconsistent code conventions within a single task
Claude Code Failure Patterns
- Assumption-making: Chose in-memory storage without asking (Amp asked which database approach to use)
- Missing infrastructure: Did not set up persistent volumes for the deployment (Amp did)
- Health check bugs: The health check implementation contained a bug that prevented proper operation (Amp's worked)
- CSS embedding: Put CSS directly in HTML instead of separate files
The Proactivity Difference
In the Fly.io deployment test, Amp proactively asked whether the user wanted in-memory or persistent SQLite storage, then set up a Fly volume accordingly. Claude Code defaulted to in-memory without asking. This illustrates a broader pattern: Amp asks more questions upfront. Claude Code makes more assumptions. Which you prefer depends on whether you want fewer interruptions or fewer surprises.
Both tools successfully completed the full task, producing functional deployed applications. The failures were in quality decisions and infrastructure setup, not in task completion itself.
Where Amp Wins
Multi-Model Tasks
When a task benefits from different models at different stages: Claude for implementation, GPT-5.3 for deep reasoning, Gemini for visual review. Amp handles this routing automatically.
Team Knowledge Sharing
Shared threads, searchable by keyword and file path, create an organic knowledge base of solved problems. Public profiles at ampcode.com/@username let teams showcase solutions.
Editor Flexibility
Works in VS Code, JetBrains, Neovim, Zed, Cursor, and Windsurf. If your team uses different editors, Amp normalizes the agent experience across all of them.
Model Resilience
When one model provider has an outage or ships a regression, Amp users switch modes and keep working. Claude Code users wait. This resilience is underrated until you need it.
Best For: Teams That Value Flexibility
If your team uses multiple editors, wants to avoid model lock-in, and values shared knowledge from past agent sessions, Amp is the better choice. The Sourcegraph heritage gives it strong code intelligence foundations for cross-repository work. The free tier ($10/day grant) also makes it accessible for evaluation without commitment.
Where Claude Code Wins
Coordinated Multi-Agent Tasks
Agent Teams with dependency tracking, inter-agent messaging, and shared task lists are unmatched. 16 Claude agents built a 100K-line C compiler in Rust that compiles the Linux kernel 6.9 for ~$20K in API cost.
Deterministic Instruction Following
Claude Code follows plans more reliably than Amp. When you need the agent to stick to a spec without improvising, Claude's deterministic outputs and CLAUDE.md system are stronger.
Context Window
Claude Opus 4.6 has a 1M token context window (beta). Amp's context caps at 200K tokens. For massive codebases and long sessions, Claude holds more in memory.
Benchmark Performance
Claude Opus 4.6 leads SWE-bench Verified at 80.8% and scores 55.4% on SWE-bench Pro. Terminal-Bench 2.0 shows Claude Code at 58.0%. These benchmarks measure coding ability, not agent features, but they matter for output quality.
Best For: Complex Orchestration
If your work involves splitting large tasks across multiple coordinated agents that need to share context and track dependencies, Claude Code's Agent Teams are the best implementation available. The 1M token context window, hooks system for automation, and auto-memory for cross-session learning compound into a deeper single-developer experience than Amp offers.
"Amp is really the one agent where I don't hesitate to say it is consistently better." (Developer review, comparing to other agents excluding Claude Code)
Decision Framework
| Your Situation | Best Choice | Why |
|---|---|---|
| Team with mixed editors | Amp | Works in VS Code, JetBrains, Neovim, Zed, Cursor |
| Complex multi-agent refactoring | Claude Code | Agent Teams with task deps + inter-agent messaging |
| Model vendor diversification | Amp | Routes to Claude, GPT-5.3, Gemini per task |
| Predictable monthly cost | Claude Code | $20-200/mo fixed subscription |
| Team knowledge sharing | Amp | Thread sharing, search, public profiles |
| Massive codebase (1M+ tokens) | Claude Code | 1M token context vs Amp's 200K |
| Cross-repo code search | Amp | Librarian agent + Sourcegraph backend |
| Deterministic plan following | Claude Code | Stronger instruction adherence |
| Enterprise admin controls | Amp | SSO, command allowlisting, analytics API |
| Deep reasoning on hard problems | Amp | GPT-5.3-Codex deep mode + Oracle |
Frequently Asked Questions
Is Amp or Claude Code better for coding in 2026?
They optimize for different things. Amp gives you access to Claude, GPT-5.3, and Gemini through one agent with team collaboration features. Claude Code gives you Claude-only with the deepest agent coordination available (Agent Teams with dependency tracking and inter-agent messaging). For team-oriented workflows with model flexibility, Amp wins. For solo developer orchestration of complex multi-agent tasks, Claude Code wins.
Can Amp use Claude models?
Yes. Amp's Smart mode uses Claude Opus 4.6 as the default model. It switches to GPT-5.3-Codex for Deep mode (extended reasoning), GPT-5.2 for the Oracle (complex debugging), and Gemini 3 Pro for the Painter (image generation) and code review. You get Claude's coding ability plus access to other models' strengths.
How much does Amp cost compared to Claude Code?
Amp offers a free tier ($10/day grant, closed to new signups) and pay-as-you-go pricing with no markup on model costs. Enterprise is $59/user/month. Claude Code requires a Claude subscription: Pro ($20/mo), Max 5x ($100/mo), or Max 20x ($200/mo). Light users pay less with Amp. Heavy users often pay less with Claude Max subscriptions.
Does Amp have CLAUDE.md support?
Amp uses AGENTS.md (with YAML frontmatter for glob-scoped instructions) but maintains backward compatibility with CLAUDE.md files. Switching requires renaming the file. Both formats encode project instructions that the agent follows.
Which has better subagent support?
Different approaches. Amp has specialized agents (Oracle, Librarian, Painter, Review) with isolated context. Claude Code has general-purpose Agent Teams with shared task lists, dependency tracking, and inter-agent messaging. Amp's agents are more diverse. Claude Code's agents are better coordinated. For independent parallel tasks, Amp's approach is simpler. For dependent multi-step workflows, Claude Code's coordination is stronger.
Morph's Fast Apply Works with Both Amp and Claude Code
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Sources
- Amp Official Site
- Amp Owner's Manual
- Amp: Switch from Claude Code
- Amp: GPT-5.3-Codex in Deep Mode
- Sourcegraph Amp Product Page
- Sourcegraph Pricing
- Isaac Flath: Amp vs Claude Code for Infra
- Tembo: 2026 Guide to Coding CLI Tools
- Terminal-Bench 2.0 Leaderboard
- SemiAnalysis: Claude Code Inflection Point (Feb 2026)