Claude Code vs Gemini CLI, which agentic CLI to choose
Head-to-head comparison of two agentic CLIs: Claude Code (Anthropic, Claude 4 model) vs Gemini CLI (Google, Gemini 3.x model). Free tier, 1M context, pricing, benchmarks, open-source, 10 scenarios with decision matrix and verdict. Plus an important honest note: Google is sunsetting Gemini CLI for individual users and migrating them to Antigravity CLI.
TL;DR verdict
Gemini CLI wins on price (free tier 1,000 req/day), open-source (Apache 2.0), and Google Cloud integration. Claude Code wins on agentic quality (SWE-bench ~81% vs ~64%), mature hooks, MCP ecosystem, and product stability. For a developer investing time in workflows, the default is Claude Code. Gemini makes sense as a free backup for simple tasks.
Important note (May 2026)
On May 19, 2026 Google announced the transition from Gemini CLI to Antigravity CLI. From June 18, 2026 Gemini CLI stops serving individual tiers (free, Google AI Pro, Ultra) — you need to migrate to Antigravity CLI. Organizations with Enterprise licenses keep access. If you're picking a tool for the long term, verify the current status on Google's site.
Decision matrix — when to pick which
Task
Winner
Why
Free start without a credit card / low budget
Gemini CLI
1,000 req/day free with Google account (note: sunset Jun 18, 2026)
Multi-step refactor across 10+ files
Claude Code
Higher SWE-bench (~81% vs ~64%), more mature agentic loop
Multi-file changes on the first pass
Claude Code
First-pass accuracy ~95% vs 85–88% for Gemini
Hooks and workflow automation
Claude Code
5 hook types, mature and documented
MCP servers (extensions)
Claude Code
Anthropic = creator of standard, larger server catalog
Open-source / audit the tool's code
Gemini CLI
Apache 2.0, forkable; Claude Code is proprietary
Google Cloud ecosystem integration
Gemini CLI
Native Vertex AI, Google Cloud integration
Long-term tool stability
Claude Code
Gemini CLI sunset for individuals, migration to Antigravity
Very long context (entire codebase)
Both
Both have 1M tokens; Claude maintains better coherence
Quick, well-specified task
Gemini CLI
Cheaper, fewer clarifying questions, sufficient for simple tasks
What is Gemini CLI
Gemini CLI is an open-source agentic CLI from Google, released in 2025 under the Apache 2.0 license. It fits the AI-in-terminal trend with an agentic loop, file access, bash, and multi-step planning. It uses Gemini models (in 2026: Gemini 3.x Pro and Flash), requires a Google account or Gemini API key. Its biggest advantage was a genuinely generous free tier:
Free tier — ~1,000 requests/day and 60/minute with a Google account
1M token context — Gemini's flagship feature
Open source — Apache 2.0, forkable and auditable
GEMINI.md — project configuration file (analog to CLAUDE.md)
Hooks, Subagents, Agent Skills, Extensions
MCP support — smaller ecosystem than Anthropic
Google Cloud and Vertex AI integration
To be honest: Gemini CLI's status in mid-2026 is uncertain. Google announced on May 19, 2026 the transition to Antigravity CLI (written in Go, async multi-agent workflows, Gemini 3.x models). From June 18, 2026 Gemini CLI stops serving individual users. Antigravity CLI is intended to keep key features (Agent Skills, Hooks, Subagents, Extensions as plugins), but it's formally a different product — check current pricing and license directly with Google.
What is Claude Code
Claude Code is the official CLI from Anthropic (research preview February 2025, GA May 2025), combining Claude 4 models (Opus 4.7, Sonnet 4.6, Haiku 4.5) with an agentic loop. It runs in the terminal with file access, bash, and your stack.
Key features:
Agentic loop — linear, with explicit plan before execution
Slash commands and custom skills — plugin ecosystem
MCP servers — native, Anthropic = creator of the standard
Claude Agent SDK — Python + TS
1M token context (Sonnet 4.6, since March 2026)
Highest SWE-bench Verified scores among agentic CLIs
Claude Code wins mainly on hard agentic tasks: multi-step refactor, migration, debug in an unknown repo — where coherence over long sessions and multi-file change quality matter.
Feature comparison
Feature
Claude Code
Gemini CLI
Maker
Anthropic
Google
Main models
Opus 4.7, Sonnet 4.6, Haiku 4.5
Gemini 3.x Pro / Flash (free: mainly Flash)
Free tier
CLI free, model paid
1,000 req/day, 60 req/min (Google account)
Context
1M tokens
1M tokens
SWE-bench Verified
~80.9%
~63.8%
First-pass multi-file
~95%
85–88%
Tool license
Proprietary (closed)
Apache 2.0 (open source)
Hooks (lifecycle)
5 types, mature
Yes (migrating to Antigravity)
MCP servers
Native, creator of standard
Yes, smaller ecosystem
Subagents
Yes, context isolation
Yes
Slash commands / skills
Yes, plugin ecosystem
Agent Skills, extensions
Memory files
CLAUDE.md (per repo + global)
GEMINI.md
Cloud integration
Anthropic API
Vertex AI, Google Cloud
Product status (May 2026)
Stable, actively developed
Sunset for individuals from Jun 18, 2026
Successor
None (continuity)
Antigravity CLI (Go, async, Gemini 3.x)
Availability
Yes, globally
Yes, globally
Benchmarks (SWE-bench Verified, first-pass accuracy) come from independent comparison tests from May 2026. Treat them as indicative ranges, not absolute numbers.
Pricing comparison 2026
Plan
Claude Code
Gemini CLI
Free start
CLI free, but model requires payment
1,000 req/day free (Google account)
Subscription entry
Claude Pro $20/mo
Google AI Pro (~$20/mo, until sunset Jun 18)
API pay-per-use
Sonnet: $3/MTok in, $15/MTok out
Gemini API pay-per-use (typically cheaper)
Power user
Claude Max from $100/mo
Google AI Ultra (after sunset: Antigravity)
Gemini CLI wins at entry — you can start for free. Claude Code is paid from the start but delivers higher quality on harder tasks. For long-term planning: individual tier pricing for Gemini after June 18, 2026 depends on Antigravity CLI terms — verify directly with Google.
5 head-to-head tests (real tasks)
Test 1: Refactor 12 React class components to hooks
Task: Rewrite class components as functional hooks, preserve backward-compat props, add tests where missing.
Claude Code: Plans 4 phases (analysis, migration, exec, verification). Edits all 12 files, runs tests, auto-fixes 2 regressions. Result: 100% in ~18 min.
Gemini CLI: Migrates the first ~8 files smoothly; at larger scale sometimes loses convention coherence. Requires 2–3 manual corrections. Result: ~80% in ~15 min.
Winner: Claude Code (multi-file coherence).
Test 2: Quick, well-specified CLI script
Task: Write a Node script that reads CSV, filters rows, and writes JSON. Exact spec provided.
Claude Code: Generates correct script with error handling, asks about a few edge cases before exec. Time: ~3 min. Cost: model tokens.
Gemini CLI: Generates equally correct script, fewer clarifying questions, works first try. Time: ~2 min. Cost: $0 (free tier).
Winner: Gemini CLI (simple + well-specified = free and fast).
Test 3: Bug investigation in an unknown 80K-line repo
Task: "Logout sometimes doesn't log out." Repo never seen before.
Claude Code: Plans 3 hypotheses, reads structure, finds race condition in session middleware. Time: ~25 min, cause found.
Gemini CLI: Large context helps load many files at once, but during diagnosis loses track of the source of truth, proposes 2 false leads before finding it. Time: ~35 min.
Winner: Claude Code (better agentic diagnostics).
Test 4: MCP server integration (GitHub)
Task: Connect GitHub MCP so the agent triages issues.
Claude Code: Native MCP, ready server via npx, setup ~5 min, works first try.
Gemini CLI: MCP supported, but smaller ecosystem and fewer ready-made servers. Setup takes more time, ~20 min.
Winner: Claude Code (MCP ecosystem).
Test 5: Analyzing a large codebase (1M tokens)
Task: Load the entire monorepo and identify where billing logic is defined.
Claude Code: 1M context, loads everything, answers precisely with file links. Time: ~4 min.
Gemini CLI: 1M context is Gemini's flagship feature; loads the monorepo equally well, answers correctly. Time: ~4 min, for free on the free tier.
Winner: Both (tie; Gemini cheaper).
5-test scoreboard: Claude Code 3, Gemini CLI 1, tie 1. Claude Code wins clearly on hard agentic tasks (refactor, debug, MCP). Gemini CLI wins simple, well-specified tasks thanks to the free tier and ties on large context. Clear pattern: quality vs cost.
Junior / hobbyist with zero budget: Gemini CLI (free tier), aware of the sunset and Antigravity migration.
Mid-dev (TypeScript / React / fullstack): Claude Code. Higher multi-file quality, mature MCP and hooks, stability.
Tech lead automation: Claude Code. 5 hook types + Agent SDK + Subagents = better team automation without migration risk.
Team on Google Cloud: Gemini / Antigravity for Vertex AI integration, Claude Code alongside for hard agentic tasks.
Developer building workflows: Claude Code. Quality, documentation, MCP ecosystem, no sunset risk.
FAQ
Claude Code or Gemini CLI — which is better in 2026?
Depends on your priority. Gemini CLI (Google) wins on price — it had a genuinely free tier (1,000 requests/day with a Google account) and is open-source under Apache 2.0. Claude Code (Anthropic, Claude 4 model) wins on agentic quality, scoring ~80% vs ~64% for Gemini on SWE-bench Verified, with more mature hooks and MCP. IMPORTANT: Google announced on May 19, 2026 that Gemini CLI is being sunset for individual users, with migration to Antigravity CLI from June 18, 2026. If you're planning long-term, factor this in.
Is Gemini CLI free and what are its limits?
Yes, the free tier was Gemini CLI's main advantage: ~60 requests/minute and ~1,000 requests/day with a Google account, defaulting to Gemini Flash (limited access to Gemini Pro). That's a genuinely generous limit for a solo dev. Note: these limits apply to Gemini CLI, which from June 18, 2026 stops serving individual tiers (free, Google AI Pro, Ultra). After that date you need to switch to Antigravity CLI — verify current terms on Google's site.
Is Gemini CLI being sunset? What is Antigravity CLI?
Yes. On May 19, 2026 Google announced the transition from Gemini CLI to Antigravity CLI. From June 18, 2026 Gemini CLI and Gemini Code Assist extensions stop serving individual tier requests (free, Google AI Pro, Ultra). Organizations with Gemini Code Assist Standard / Enterprise licenses keep access. Antigravity CLI is the successor written in Go (faster execution), with async multi-agent workflows and a shared harness with the Antigravity 2.0 desktop app. It preserves key Gemini CLI features: Agent Skills, Hooks, Subagents, and Extensions (as Antigravity plugins). It uses Gemini 3.x models.
How much does Claude Code vs Gemini CLI cost?
Gemini CLI: free tier (1,000 req/day with Google account), paid tiers via Google AI Pro / Ultra or Gemini API pay-per-use. Claude Code: CLI free, model via Anthropic API pay-per-use (typically $30–$150/mo) or Claude Pro $20/mo, Max from $100/mo. Gemini wins at entry — you can start for free. Claude Code is paid from the start but delivers higher quality on harder tasks.
Which model is better for code — Claude or Gemini?
In May 2026 benchmarks Claude leads on agentic coding: Claude Code achieves ~80.9% on SWE-bench Verified vs ~63.8% for Gemini CLI, and first-pass accuracy on multi-file changes is ~95% vs 85–88%. Gemini 3.x has a huge context window and strong Google ecosystem integration. For complex refactors and agentic tasks Claude wins; for quick, well-specified tasks Gemini is often sufficient and cheaper.
What context window do Claude Code and Gemini CLI have?
Both have 1 million tokens of context in 2026. Claude (Sonnet 4.6) reached 1M in March 2026 on standard pricing; Gemini has had 1M as its flagship feature for longer. In practice the raw context size difference is now irrelevant — what matters is how the model uses context (Claude maintains better coherence across long agentic sessions).
Does Gemini CLI support MCP and hooks like Claude Code?
Gemini CLI had MCP support, hooks, subagents, and extensions, and Antigravity CLI inherits them (as plugins). But the MCP ecosystem is growing around Anthropic, the standard's creator, so the catalog of ready-made MCP servers is larger and better tested for Claude Code. Hooks in Claude Code (5 types: PreToolUse, PostToolUse, UserPromptSubmit, Stop, SessionStart) are more mature and better documented.
Is Gemini CLI open source?
Yes, Gemini CLI was open-source under Apache 2.0, allowing companies to read, fork, and contribute. Claude Code is proprietary (closed). This is a real advantage for Gemini for teams that want to audit or modify the tool. When switching to Antigravity CLI, verify the current license status — it's a different product.
Are Gemini CLI and Claude Code available globally?
Yes, both work globally. Gemini CLI requires a Google account; Claude Code requires an Anthropic API key or Claude subscription. Credit card payment.
What to choose in 2026 from a stability perspective?
This is a key argument. Claude Code is a stable, actively developed Anthropic product. Gemini CLI is being sunset for individual users from June 18, 2026, with migration to Antigravity CLI. If you care about a tool where you can invest time in hooks, MCP, and workflow without migration risk, Claude Code is the safer choice. Gemini as a free backup for simple tasks still makes sense.
Is there a Claude Code course?
The Claude Code course is the first comprehensive guide (220-page PDF). Covers Claude Code in depth (CLI, hooks, MCP, Agent SDK, Anthropic API, workflow). Gemini CLI and other tools are covered in comparative sections.