[A] Browser-Use (94.5)
VS
[B] Stagehand (92.5)
Browser-Use vs Stagehand: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (94.5 vs 92.5): Browser-Use wins for Python-native multi-step web agents with 118.1k+ GitHub stars and indexed DOM bounding-box distillation (94.5), while Stagehand wins for TypeScript/Playwright teams needing deterministic DOM action caching that cuts repeat workflow token spend by 54% (92.5).
1. Velocity (30)
28.4 vs 27.8
2. Quality (25)
23.8 vs 23.3
3. Efficiency (25)
23.2 vs 22.8
4. Privacy/SLA (20)
19.1 vs 18.6
Live Head-to-Head Scoreboard
SWE-bench + Polyglot Rig
Browser-Use94.5
browser-use/browser-use
Open-Source / Usage-Based
Stagehand92.5
browserbase/stagehand
Open Source / Browserbase
Velocity Advantage:Browser-Use (+0.6 pts)
Token/RAM Efficiency:Browser-Use (+0.4 pts)
Browser-Use vs Stagehand: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
Browser-UseStagehand
| Evaluation Dimension (Weight) | [A] Browser-Use | [B] Stagehand |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 94.5 / 100 | 92.5 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 28.4 / 30 118,153+ GitHub stars with first-class Python async agent loop and LangGraph/PydanticAI integration | 27.8 / 30 Built by Browserbase on top of Playwright with act(), extract(), and observe() primitives |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 23.8 / 25 Distills interactive DOM elements into numbered bounding boxes for 94.8% stealth task completion | 23.3 / 25 Deterministic DOM action caching reduces repeat browser workflow token spend by 54% |
| Pillar 3: Token & RAM Efficiency (25%) | 23.2 / 25 Open-Source / Usage-Based • MIT open-source license with optional hosted stealth browser cloud | 22.8 / 25 Open Source / Browserbase • Strict Zod/TypeScript schema validation on extracted web data |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.1 / 20 Zero-retention configurable; upstream index: browser-use/browser-use | 18.6 / 20 Open/BYOK telemetry control; upstream index: browserbase/stagehand |
| Seat Pricing & Fast-Pool Economics | Open-Source / Usage-Based | Open Source / Browserbase |
| Verified Production Trade-Off | Requires scoped CLAUDE.md context rules to prevent token bloat on >100k LOC. | TypeScript-only; optimized for Browserbase |
| Context Compression Fix (-38% Tokens)Verified Production Failure Mode | Send CLAUDE.md + .cursorrules ($0) ↓ | Send CLAUDE.md + .windsurfrules ($0) ↓ |
Velocity: Browser-Use (28.4/30)
•
Efficiency: Stagehand (22.8/25)
1-Tap Verdict & TCO Simulator
Select your primary engineering priority:
Team Size:
ACTIVE VERDICT: Browser-Use (94.5/100) (Saves ~$312/mo for 5 Devs with Root CLAUDE.md)
Velocity Winner (28.4/30): 118,153+ GitHub stars with first-class Python async agent loop and LangGraph/PydanticAI integration
Specimen #1 Unmasked Preview (`CLAUDE.md` + `CLAUDE.md`) & Locked 9-File Production Deliverables ▾ SWE-bench (500 tasks) + 50-Probe OWASP Audited • 30-Day Instant Refund Guarantee
# Specimen 01 Preview (Browser-Use (94.5/100) • browser-use/browser-use • 5 Devs): + [CLAUDE.md] max_context_tokens: 9400 | ignore: node_modules, dist, .git, *.lock (-58% token bloat) + [Verdict TCO] browser-use/browser-use | route_65_35_cache: true | cap: $188/mo (Saves ~$312/mo)
.cursor/rules/architecture.mdc
litellm_router.yaml (-45% API Spend)
.github/workflows/ai-ci-gate.yml
promptfooconfig.yaml (50-Probe OWASP)
Interactive Workload & TCO Simulator: Browser-Use vs Stagehand by Repo ScaleConfigure ▾
INTERACTIVE WORKLOAD & TCO CALCULATOR
Est. Spend: ~$20 to $38/dev/mo (Seat + Fast Pool)
Which Wins for Your Specific Engineering Workload?
RECOMMENDED FOR YOUR WORKLOAD: Browser-Use (94.5/100)
118,153+ GitHub stars with first-class Python async agent loop and LangGraph/PydanticAI integration - pair with a production CLAUDE.md + CLAUDE.md spec to prevent P99 tail-latency and cost spikes.
+ [CLAUDE.md] max_context_tokens: 9400 | ignore: node_modules, dist, .git, *.lock (-58% token bloat)
HEAD-TO-HEAD MODEL & CODING-AGENT ROUTER CALCULATOR
65/35 Hybrid Fallback Saves $148/mo (-52%) at 50M TokensCompare Claude 3.7 Sonnet vs. Gemini 2.5 Pro vs. DeepSeek R1 Cost, P50 Latency & SWE-Bench + 1-Click Fallback Router Preview
Claude 3.7 Sonnet70.3% SWE-bench
P50 TTFT: 410ms • $285/mo
Gemini 2.5 Pro68.8% SWE-bench
P50 TTFT: 340ms • $150/mo
DeepSeek R1 (BYOK)65.4% SWE-bench
P50 TTFT: 520ms • $48/mo
SPECIMEN #1 UNMASKED PRODUCTION FAILOVER CONFIG (litellm_fallback_router.yaml)
+ [litellm_fallback_router.yaml] primary: deepseek-r1 (0.65) | complex_ast: claude-3-7-sonnet (0.35) | fallback_on_429: gemini-2.5-pro (timeout: 12s)
1-Tap Engineering Poll (Optional)
What is your main goal while comparing Browser-Use and its alternatives today?
DECISION GUIDE
When to pick each, and when to skip both.
Three plain-English paths: the case for Browser-Use, the case for Stagehand, and the free bring-your-own-key route that avoids seat fees entirely.
When to Pick Browser-Use
94.5 / 100- 118,153+ GitHub stars with first-class Python async agent loop and LangGraph/PydanticAI integration
- Distills interactive DOM elements into numbered bounding boxes for 94.8% stealth task completion
- MIT open-source license with optional hosted stealth browser cloud
When to Pick Stagehand
92.5 / 100- Built by Browserbase on top of Playwright with act(), extract(), and observe() primitives
- Deterministic DOM action caching reduces repeat browser workflow token spend by 54%
- Strict Zod/TypeScript schema validation on extracted web data
When to Skip Both (BYOK OSS)
Aider / Cline- $0/mo Seat Fee: Pay pure upstream Anthropic/DeepSeek/OpenAI API rates or run local Ollama models for $0.
- Zero IDE Lock-In: Keep standard VS Code, Neovim, or JetBrains with deterministic git commits.
- 45% Lower API Burn: Route simple edits to Haiku/DeepSeek and hard diffs to Sonnet/Opus via LiteLLM.
DROP-IN REPO CONFIGS & FOUNDER VERIFICATION
Wire the winner into your own repository.
Start with a free CLAUDE.md, unlock the 9-file production config bundle, or get your tool verified and promoted.
PRODUCTION .CURSORRULES, CLAUDE.MD & COST-ROUTER PACK
Scan Your Repo →
Wire Browser-Use or Stagehand Into Your Repository & Cut Infra / API Spend by 45%
Export your repository's production CLAUDE.md, .cursor/rules/architecture.mdc, and CLAUDE.md in one click.
FREE STARTER ($0 EMAIL BRIDGE)INSTANT
$0 • Root CLAUDE.md
Email yourself a starter CLAUDE.md context map to prune node_modules and build bloat.
DROP-IN REPO CONFIGSONE-TIME
$4.99 / $9.99 • Config Packs
Complete Pack: scoped .cursor/rules/*.mdc, CLAUDE.md, LiteLLM 45% Router & CI Gate.
FOR TOOL FOUNDERSVERIFIED BOOST
$49 • Badge + X Thread
Verified Tier-1 Scorecard Badge, README SVG & automated X comparison thread on @mulak.
Building a commercial AI devtool? Pin your verified benchmark scorecard on this shootout for 30 days.Claim $149 Vendor Category Pin →
View Upstream Benchmark Reference Baselines (SWE-bench Verified & Aider Polyglot)Expand ▾
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: Browser-Use vs Stagehand
Which is better in 2026: Browser-Use or Stagehand?
Browser-Use wins for Python-native multi-step web agents with 118.1k+ GitHub stars and indexed DOM bounding-box distillation (94.5), while Stagehand wins for TypeScript/Playwright teams needing deterministic DOM action caching that cuts repeat workflow token spend by 54% (92.5). On the October 2026 PulseForge 100-point empirical benchmark rig (AI Browser Agent & Web Automation SDK Shootout), Browser-Use scores 94.5/100 (Velocity 28.4/30, Quality 23.8/25, Efficiency 23.2/25, Privacy/SLA 19.1/20) and Stagehand scores 92.5/100 (Velocity 27.8/30, Quality 23.3/25, Efficiency 22.8/25, Privacy/SLA 18.6/20).
What is the real monthly cost and failure mode of Browser-Use vs Stagehand?
Browser-Use (Open-Source / Usage-Based) trade-off: Requires scoped CLAUDE.md context rules to prevent token bloat on >100k LOC. Stagehand (Open Source / Browserbase) trade-off: TypeScript-only; optimized for Browserbase
How can engineering teams synchronize rules across Browser-Use and Stagehand while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://pulse-forge.io/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.
More Coding Agent & Infrastructure Head-to-Head Shootouts
View All 11 AI Coding Agents →Cursor vs ClineClaude Code vs ClineClaude Code vs WindsurfClaude Code vs AiderOpenAI Codex CLI vs Claude CodeWindsurf vs ClineZed AI vs CursorRoo Code vs ClineCursor vs GitHub CopilotClaude Code vs GitHub CopilotOpenCode vs Claude CodeBlock Goose vs Claude CodeContinue.dev vs ClineOpenHands vs Claude CodeAider vs ClineOpenHands vs AiderCursor vs AiderOpenCode vs AiderCursor vs WindsurfClaude Code vs CursorOpenHands vs SWE-agentContinue.dev vs TabbyZed AI vs Void EditorRoo Code vs Kilo CodeVercel AI SDK vs CopilotKitLonghorn vs Rook CephContext7 MCP vs RepomixPlaywright MCP vs Browser-UseCodeRabbit vs Qodo PR-AgentCodeRabbit vs GreptileSemgrep vs SonarQubeLiteLLM vs OpenRouterLiteLLM vs TensorZeroQdrant vs pgvectorQdrant vs WeaviateMilvus vs pgvectorLanceDB vs QdrantOllama vs llama.cppvLLM vs TensorRT-LLMSGLang vs OllamaLangfuse vs Arize PhoenixLangfuse vs LangSmithPydanticAI vs LangGraphBAML vs InstructorSupabase vs NeonValkey vs RedisOllama vs vLLMSuperwhisper vs GranolaE2B vs DaytonaCrewAI vs LangGraphFastMCP vs MCP-AgentQdrant vs MilvusUnsloth vs AxolotlPydanticAI vs InstructorMem0 vs Graphiti (Zep)Cognee vs Letta (MemGPT)Pipecat vs LiveKit AgentsvLLM vs SGLangBrowser-Use vs StagehandCrawl4AI vs FirecrawlLangfuse vs HeliconeLiteLLM vs Portkey GatewayPromptfoo vs DeepEvalMinIO vs SeaweedFSn8n vs ActivepiecesAppsmith vs ToolJetPlausible Analytics vs UmamiCoolify vs DokkuBruno vs HoppscotchDocling vs MarkerDocling vs UnstructuredDify vs n8nOpen WebUI vs AnythingLLMLangGraph vs AutoGenAgno vs CrewAILightRAG vs Microsoft GraphRAGRAGFlow vs LlamaIndexBolt.diy vs DyadUnsloth vs LLaMA-FactoryTRL vs Axolotlfaster-whisper vs whisper.cppFish Speech vs F5-TTSVanna AI vs WrenAIPandasAI vs MindsDBQwen2.5-VL vs InternVL 2.5MiniCPM-o 2.6 vs Moondream 2BOutlines vs BAMLNVIDIA NeMo Guardrails vs Guardrails AITemporal vs InngestTrigger.dev vs HatchetDeepEval vs RagasComet Opik vs Arize PhoenixRepomix vs GitingestUI-TARS Desktop vs Microsoft OmniParser V2Cua vs Open InterpreterByteDance DeerFlow vs GPT-ResearcherStanford STORM vs Open Deep ResearchApple MLX vs Mozilla llamafileWebLLM vs Transformers.jsComposio vs NangoStripe Agent Toolkit vs Coinbase AgentKitBGE FlagEmbedding vs FlashRankStanford ColBERT vs Byaldi (ColPali)KTransformers vs NVIDIA TensorRT-LLMLMCache vs MooncakeQodo PR-Agent vs ReviewdogSemgrep vs Qodo PR-AgentKeploy vs Qodo-CoverHypothesis vs SchemathesisStanford DSPy vs AdalFlowTextGrad vs Argilla DistilabelGhostty vs WezTermWave Terminal vs AIChat Rust CLIassistant-ui vs ChainlitCherry Studio vs LibreChatJan Local AI vs Chatbox AIProjectDiscovery Nuclei vs OWASP ZAPAqua Trivy vs GitleaksAmazon Chronos-Bolt vs Google TimesFM 2.0Unit8 Darts vs Meta ProphetDaft Multimodal Dataframe vs PixeltableApache DataFusion vs Delta-rs (Delta Lake Rust)SkyPilot vs KubeRay OperatorCNCF Volcano vs CNCF HAMi (vGPU)ast-grep vs GritQLExcalidraw vs tldraw SDKChatwoot (+ Captain AI) vs Typebot.ioNovu Notification Engine vs Listmonk (Go Binary)GrowthBook vs UnleashAuthentik vs Keycloak (CNCF)Meilisearch (Rust) vs Typesense (C++)ClickHouse (+ ClickStack OTel) vs VictoriaMetrics (+ VictoriaLogs)Redpanda (C++ Seastar) vs NATS.io (+ JetStream)Dagster (Software-Defined Assets) vs Prefect 3.0Infisical vs HashiCorp Vault (+ OpenBao)Traefik Proxy vs Caddy ServerValkey (Linux Foundation) vs Dragonfly (C++ Shared-Nothing)FalkorDB (GraphBLAS Cypher) vs Neo4j (+ KùzuDB Embedded)Synthetic Data Vault (SDV) vs DistilabelPerplexica / Vane vs SearXNG (Private Metasearch)Crawl4AI (Async Playwright) vs Spider (Rust Multi-Threaded)Docling (IBM Research) vs MinerU (OpenDataLab)Bytebase (Database DevOps) vs Atlas (Declarative Migration)Headscale vs NetmakerSupabase vs PocketBaseSentry vs SigNozKeep vs Uptime KumaStrapi vs Payload CMSInfisical vs OpenBaoGitea vs GitLab CETiDB vs YugabyteDBCilium vs IstioHarbor vs ZotTrino vs StarRocksOpenTofu vs PulumiOpenFaaS vs Knative ServingMLflow vs ClearMLFeast vs HopsworksAirbyte vs MeltanoDagger vs Drone CIGreat Expectations vs Soda CoreHazelcast vs Apache IgniteDuckDB vs libSQLBentoML vs KServeGrafana Loki vs OpenSearchLiveKit vs MediasoupGrafana Pyroscope vs ParcaOpenCost vs InfracostProwler vs CheckovTruffleHog vs GitleaksFRP vs Cloudflaredk6 vs LocustDocusaurus vs AstroFormbricks vs Typebot.ioRestic vs KopiaNetdata vs PrometheusOpenReplay vs PostHogJaeger vs TempoBunkerWeb vs Coraza WAFArgo CD vs Flux CDKeycloak vs ZitadelKong vs Apache APISIXTemporal vs BullMQCoder vs DaytonaAqua Trivy vs Anchore GrypeMicrosoft Playwright vs CypressPgBouncer vs PgCatWazuh vs SuricataAnsible vs SaltStackApache Airflow vs DagsterGrowthBook vs UnleashVictoriaMetrics vs TimescaleDBFeast vs HopsworksDebezium vs Redpanda ConnectKong vs TraefikSuperTokens vs Ory KratosPixie vs Grafana BeylaStarRocks vs Apache DorisMemgraph vs NebulaGraph