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Compare/Warp vs Zero

WarpvsZero

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Warp
Warp · Terminal agent
#20OSSMCP
Panel
6.5
2 spec wins
Reliability
6.5
Usefulness
6.7
Cost
5.5
Longevity
7.2

“Scored 75.8 on SWE-bench Verified with a best-of-k wrapper, which is also how most of us get through code review.”

Zero
Gitlawb · Terminal agent
#6OSSMCP
Panel
7.0
2 spec wins
Reliability
6.7
Usefulness
7.0
Cost
8.2
Longevity
6.2

“It accepts image input in a terminal, a sentence that would have ended a career in 2019.”

Spec by spec

SpecWarpZero
Architecture
CategoryTerminal agentTerminal agent
Runslocal, cloudlocal, sandbox
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoYes
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesComputer Use environments bundle Chromium plus the Playwright CLI and can attach over CDP, so the agent navigates, clicks, fills forms and reads pages. YesBrowser and terminal control helpers ship with the npm and release builds; source builds need those helper binaries on PATH or configured in local-control settings.
Sandboxed executionYesCloud runs execute in a containerized sandbox built from a Docker image with no access to the local machine; local interactive sessions are not sandboxed. NoZero ships a native Linux sandbox helper using seccomp rather than Docker; source builds must build the `zero-linux-sandbox` helper separately.
Multi-agent orchestrationYesYes
Headless / CI modeYesYes`zero exec` returns exit codes and has a documented GitHub Action recipe.
Models
BackboneGPT, Claude, Gemini, Grok, open-weight models via FireworksOpenAI, Anthropic, Gemini, Groq, OpenRouter, DeepSeek, Mistral, xAI, Qwen, Kimi, GitHub Models, Fireworks, MiniMax, Ollama, LM Studio
Bring your own modelYesAny OpenAI-compatible endpoint (OpenRouter, LiteLLM, an internal gateway) plus BYO Anthropic, OpenAI or Google keys and custom routers. Yes
Local modelsYesOllama, LM Studio, vLLM and llama.cpp are supported through the custom inference endpoint, but only when exposed at a public URL via a tunnel, since localhost and private addresses are rejected. Yes
Cost
Pricing modelmixedbyok
Starts at$20/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseAGPL-3.0MIT
GitHub stars65,3381,688

Which one would each critic pick

CriticWarpZeroPick
El Juez——not enough reviews
El Amigo7.37.3no preference
El Crítico6.06.8Zero — Package builds ship the browser and terminal control helpers; a source build needs those binaries on PATH and expects you to build the Linux sandbox helper separately.
El Profesor6.07.3Zero — Sessions can be resumed or forked, which makes a continuation a controlled variable, and the headless mode emits text, JSON or stream-JSON rather than prose only.
La Inversora6.85.5Warp — Warp spent years building a terminal, open-sourced it under AGPL, and is now selling credits and $200 Max plans on top of it; the terminal is the distribution, the agent is the business.
La Jefa6.06.8Zero — Nothing to license for sixty, and it is the rare tool that returns meaningful exit codes with a documented continuous integration recipe, so it can gate a build.
El Hacker6.88.5Zero — MIT, twenty-five providers with Ollama and LM Studio among them, and it works as an MCP server as well as a client, so my tools go both ways.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.