{"slug":"e2b","name":"E2B","domain":"e2b.dev","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank E2B first for code execution sandbox for ai agents (one of 4 leaderboards it appears on). Source: https://modelsagree.com/product/e2b (modelsagree.com, CC BY 4.0).","best_rank":1,"categories":4,"brief":{"category":"best-code-sandbox-for-ai-agents","title":"Best code execution sandbox for AI agents","rank":1,"of":10,"top":null,"day":"2026-07-16","why":[{"t":"purpose-built for AI agents","m":["ChatGPT","Claude","Gemini","Grok"],"q":"Purpose-built for AI agents"},{"t":"Firecracker microVMs","m":["ChatGPT","Claude","Gemini","Grok"],"q":"Firecracker microVMs for strong kernel-level isolation"},{"t":"fast boot","m":["ChatGPT","Claude","Gemini","Grok"],"q":"fast boot (~150ms)"},{"t":"excellent Python/JS SDKs","m":["ChatGPT","Claude","Gemini","Grok"],"q":"excellent Python/JS SDKs"}],"gap":[],"fix":[{"t":"persistent, long-running agent workspaces","m":["Claude","Gemini","Grok"],"q":"poorly suited for persistent, long-running agent workspaces that require complex state persistence across sessions"},{"t":"pricier or awkward territory","m":["ChatGPT","Claude"],"q":"long-lived, stateful, or GPU-heavy workloads push you toward pricier or awkward territory"},{"t":"no native GPU support","m":["Claude","Grok"],"q":"no native GPU support"}]},"entries":[{"slug":"best-code-sandbox-for-ai-agents","title":"Best code execution sandbox for AI agents","rank":1,"of":10,"score":20,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":1,"Gemini":1,"Grok":1},"reason":"Best all-around, purpose-built agent sandbox: secure microVM isolation, fast startup, excellent Python/TypeScript SDKs, reusable templates, filesystem and process APIs, desktop environments, and the deepest agent-framework ecosystem.","reasons":[{"model":"ChatGPT","reason":"Best all-around, purpose-built agent sandbox: secure microVM isolation, fast startup, excellent Python/TypeScript SDKs, reusable templates, filesystem and process APIs, desktop environments, and the deepest agent-framework ecosystem."},{"model":"Claude","reason":"The de facto standard purpose-built for this exact job — open-source Firecracker microVM sandboxes with ~150ms cold starts, first-class Python/JS SDKs, filesystem + process + PTY APIs, pause/resume persistence, and desktop sandboxes; battle-tested at scale by major agent products (Perplexity, Manus-class workloads), so the sharp edges a typical practitioner hits are already sanded down. Near-tie with Modal at the top."},{"model":"Gemini","reason":"Serves as the industry benchmark for lightweight, secure, and developer-friendly ephemeral code execution. Powered by Firecracker microVMs, it offers strong hardware-level isolation, sub-second startup times (~150ms), and seamless API/SDK integration."},{"model":"Grok","reason":"Purpose-built for AI agents with Firecracker microVMs for strong kernel-level isolation, excellent Python/JS SDKs, fast boot (~150ms), pause/resume capabilities, and widespread real-world adoption (e.g., Perplexity, enterprise use); open-source core makes it accessible and integrable for typical practitioners needing secure untrusted LLM code execution."}],"fixes":[{"model":"ChatGPT","fix":"Meaningful production concurrency and 24-hour sessions require a $150/month Pro plan, making sustained workloads expensive."},{"model":"Claude","fix":"Self-hosting the open-source stack is genuinely hard (it's designed around their cloud), and long-lived, stateful, or GPU-heavy workloads push you toward pricier or awkward territory — it's optimized for ephemeral interpreter-style runs."},{"model":"Gemini","fix":"Designed primarily for ephemeral session-based execution, making it poorly suited for persistent, long-running agent workspaces that require complex state persistence across sessions."},{"model":"Grok","fix":"Session/time limits (e.g., 24h max on many plans) and no native GPU support limit it for long-running or compute-heavy ML tasks."}],"updated":"2026-07-15","rank_history":{"days":["2026-07-12","2026-07-13","2026-07-14","2026-07-15"],"ranks":[1,1,1,1]},"reasoning_shift":[{"model":"Gemini","from":"2026-07-14","to":"2026-07-15","added":[{"t":"industry benchmark","q":"industry benchmark for lightweight, secure, and developer-friendly ephemeral code execution"},{"t":"seamless API integration","q":"seamless API/SDK integration"}],"dropped":[{"t":"dedicated Jupyter-based SDK","q":"a dedicated Jupyter-based SDK"},{"t":"near-tie with Daytona","q":"near-tie with Daytona on speed"},{"t":"out-of-the-box microVM security","q":"E2B is preferred for out-of-the-box microVM security"}]},{"model":"Claude","from":"2026-07-14","to":"2026-07-15","added":[{"t":"pause/resume persistence and desktop sandboxes","q":"pause/resume persistence, and desktop sandboxes"},{"t":"battle-tested at scale","q":"battle-tested at scale by major agent products (Perplexity, Manus-class workloads)"},{"t":"Near-tie with Modal","q":"Near-tie with Modal at the top."}],"dropped":[{"t":"dedicated code-interpreter layer","q":"a dedicated code-interpreter layer"},{"t":"integrations across most agent frameworks","q":"out-of-the-box integrations across LangChain, LlamaIndex, CrewAI and most agent frameworks"},{"t":"no hard lock-in","q":"no hard lock-in"}]},{"model":"ChatGPT","from":"2026-07-14","to":"2026-07-15","added":[{"t":"filesystem and process APIs","q":"filesystem and process APIs"},{"t":"deepest agent-framework ecosystem","q":"the deepest agent-framework ecosystem"},{"t":"$150/month Pro plan","q":"a $150/month Pro plan"}],"dropped":[{"t":"secure networking","q":"secure networking"},{"t":"pause/resume plus memory-and-filesystem snapshots","q":"unusually strong pause/resume plus memory-and-filesystem snapshots"},{"t":"vendor-dependency concerns at scale","q":"vendor-dependency concerns at scale"}]}],"api":"https://modelsagree.com/api/v1/best/best-code-sandbox-for-ai-agents.json"},{"slug":"best-secure-code-sandboxes-for-ai-agents","title":"Best secure code sandboxes for AI agents","rank":1,"of":12,"score":20,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":1,"Gemini":1,"Grok":1},"reason":"Purpose-built for agent code execution, with Firecracker microVM isolation, fast startup, strong Python/TypeScript SDKs, custom templates, snapshots, pause/resume, and hosted infrastructure; the best-balanced default for production agent builders.","reasons":[{"model":"ChatGPT","reason":"Purpose-built for agent code execution, with Firecracker microVM isolation, fast startup, strong Python/TypeScript SDKs, custom templates, snapshots, pause/resume, and hosted infrastructure; the best-balanced default for production agent builders."},{"model":"Claude","reason":"Purpose-built for exactly this job — Firecracker microVM sandboxes with sub-200ms cold starts, first-class SDKs (Python/JS) for running untrusted agent-generated code, filesystem/process APIs, persistent and resumable sessions, and an open-source core you can self-host; it became the default choice wired into many agent frameworks, so the typical practitioner gets the shortest path from \"agent wrote code\" to \"code ran safely.\" Assumption: the practitioner wants a managed service with hard VM-level isolation rather than rolling their own infra."},{"model":"Gemini","reason":"It is the industry standard for ephemeral code execution, using Firecracker microVMs to provide hardware-level isolation with sub-200ms startup times and developer-friendly SDKs."},{"model":"Grok","reason":"Proven at massive scale (1B+ sandboxes), Firecracker microVM isolation with strong security track record (SOC2, F100 adoption), excellent SDKs and agent-native features like persistence/pause-resume; delivers reliable, secure execution for untrusted AI-generated code without heavy ops overhead for typical devs/teams."}],"fixes":[{"model":"ChatGPT","fix":"Managed-cloud dependence and usage pricing make it a poor fit for air-gapped, fully self-hosted, or extremely cost-sensitive workloads."},{"model":"Claude","fix":"You pay per sandbox-second and are dependent on their cloud for the easy path — at high sustained volume or under strict data-residency rules, self-hosting E2B is possible but operationally heavy, and it's not for teams that need GPU-heavy workloads inside the sandbox."},{"model":"Gemini","fix":"Optimized strictly for short-lived tasks, making it complex to manage persistent filesystem state or background services across multiple sessions."},{"model":"Grok","fix":"Not the absolute cheapest or most flexible for extreme self-hosting/custom policy needs; hosted-first model."}],"updated":"2026-07-17","api":"https://modelsagree.com/api/v1/best/best-secure-code-sandboxes-for-ai-agents.json"},{"slug":"best-cloud-sandbox-platforms-for-long-running-coding-agents","title":"Best cloud sandbox platforms for long-running coding agents","rank":2,"of":9,"score":12,"appearances":3,"modelRanks":{"ChatGPT":3,"Claude":1,"Gemini":2},"reason":"The most widely adopted purpose-built agent sandbox; Firecracker microVM isolation with sub-second starts, a clean Python/JS SDK, filesystem/process control, and an open-source self-hostable core so you avoid lock-in and can run on your own cloud. Broad framework integrations make it the default many coding-agent teams reach for first.","reasons":[{"model":"Claude","reason":"The most widely adopted purpose-built agent sandbox; Firecracker microVM isolation with sub-second starts, a clean Python/JS SDK, filesystem/process control, and an open-source self-hostable core so you avoid lock-in and can run on your own cloud. Broad framework integrations make it the default many coding-agent teams reach for first."},{"model":"Gemini","reason":"E2B provides industry-standard Firecracker microVM hardware isolation designed specifically for AI agent execution, featuring sub-second startup times, rich agent SDKs, and native support for terminal and desktop computer-use tools. Near-tie with Daytona on overall developer adoption, ranked second for long-running use cases because maintaining long-lived persistent states requires proactive snapshotting or higher-tier extended session management."},{"model":"ChatGPT","reason":"A polished agent-specific API with fast isolated environments, mature SDKs, custom templates, public previews, automatic pause/resume, indefinite paused retention, and unusually complete snapshots that preserve both filesystem and memory."}],"fixes":[{"model":"ChatGPT","fix":"Continuous long runs are poor value for smaller users: Base sessions stop at one hour, while the 24-hour limit requires the $150-per-month Pro plan."},{"model":"Claude","fix":"Session/code-execution oriented rather than a full persistent dev box — very long runs and durable state require explicit timeout extension and snapshot management, and self-hosting the infra is nontrivial ops work."},{"model":"Gemini","fix":"Ephemeral by default with session timeout limits, making continuous multi-day agent tasks costlier and harder to manage without custom state persistence architecture."}],"updated":"2026-08-10","rank_history":{"days":["2026-08-03","2026-08-10"],"ranks":[2,null]},"api":"https://modelsagree.com/api/v1/best/best-cloud-sandbox-platforms-for-long-running-coding-agents.json"},{"slug":"best-tool-use-platforms-for-production-ai-agents","title":"Best tool-use platforms for production AI agents","rank":4,"of":14,"score":5,"appearances":2,"modelRanks":{"Claude":4,"Gemini":3},"reason":"It is the leading secure sandbox runtime for agents, utilizing Firecracker microVMs to execute LLM-generated code in isolated, low-latency environments with native support for major language runtimes.","reasons":[{"model":"Gemini","reason":"It is the leading secure sandbox runtime for agents, utilizing Firecracker microVMs to execute LLM-generated code in isolated, low-latency environments with native support for major language runtimes."},{"model":"Claude","reason":"Code execution is the highest-leverage single tool an agent can have (an agent that writes and runs code can improvise almost any capability), and E2B's Firecracker-based sandboxes are the production standard: fast cold starts, per-session isolation, open-source core, adopted by many agent products as their execution layer."}],"fixes":[{"model":"Claude","fix":"It is one tool done extremely well, not a tool catalog — you still need something else for SaaS integrations, auth, and non-code actions."},{"model":"Gemini","fix":"It is built for ephemeral execution and lacks native persistence for long-running, stateful agent environments, or heavy GPU-accelerated computing."}],"updated":"2026-07-17","api":"https://modelsagree.com/api/v1/best/best-tool-use-platforms-for-production-ai-agents.json"}],"page":"https://modelsagree.com/product/e2b","check":"https://modelsagree.com/check?q=E2B","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}