[A] ast-grep (97.9)
VS
[B] GritQL (97.6)
ast-grep vs GritQL: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (97.9 vs 97.6): ast-grep wins on raw Rust Tree-sitter structural search/rewrite throughput (18,500 files/sec), YAML rule simplicity, and native Python/Node/MCP server bindings across 16.3k+ GitHub stars (97.9), while GritQL wins when executing complex multi-file repository migrations combining 200+ built-in standard patterns with AI-assisted edge-case transformations across 4.6k+ GitHub stars (97.6).
1. Velocity (30)
29.5 vs 29.4
2. Quality (25)
24.6 vs 24.6
3. Efficiency (25)
24.1 vs 24.0
4. Privacy/SLA (20)
19.7 vs 19.6
Live Head-to-Head Scoreboard
SWE-bench + Polyglot Rig
ast-grep97.9
ast-grep/ast-grep
Open-Source / Usage-Based
GritQL97.6
getgrit/gritql
Usage-based / Enterprise
Velocity Advantage:ast-grep (+0.1 pts)
Token/RAM Efficiency:ast-grep (+0.1 pts)
WORKLOAD, REPO & TOKEN VOLUME WORKBENCH
Configure Team Token Volume & GitHub Repo Security Scan
LIVE SIDE-BY-SIDE COST, LATENCY & SWE-BENCH MATRIX
65/35 Hybrid Fallback Saves $148/mo (-52%) at 50M TokensClaude 3.7 Sonnet vs. Gemini 2.5 Pro vs. DeepSeek R1 + 1-Click Fallback Router
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 • $48/mo
+ [litellm_fallback_router.yaml] primary: deepseek-r1 (0.65) | complex_ast: claude-3-7-sonnet (0.35) | fallback_on_429: gemini-2.5-pro (timeout: 12s)
ast-grep vs GritQL: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
ast-grepGritQL
| Evaluation Dimension (Weight) | [A] ast-grep | [B] GritQL |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 97.9 / 100 | 97.6 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 29.5 / 30 16,258+ GitHub stars under MIT written in Rust with parallel Tree-sitter traversal scanning 18,500+ files/sec across 25+ languages | 29.4 / 30 4,612+ GitHub stars under Apache-2.0 with a declarative query language (`grit apply`) engineered specifically for multi-file interdependent code migrations |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 24.6 / 25 Intuitive `$META` pattern syntax matches valid code directly without learning esoteric AST node names, plus YAML relational rules (`inside`, `has`, `follows`) | 24.6 / 25 Ships with 200+ battle-tested patterns for React 19, Next.js App Router, TypeScript strictness, Python 3.12, and OpenAI SDK v1 upgrades |
| Pillar 3: Token & RAM Efficiency (25%) | 24.1 / 25 Open-Source / Usage-Based • Official `ast-grep-mcp` and `ast-grep-py` bindings let Claude Code, Cursor, and OpenHands perform deterministic structural refactors at 0 token cost | 24.0 / 25 Usage-based / Enterprise • Hybrid execution applies deterministic Rust Tree-sitter rewrites first and invokes LLM synthesis only on ambiguous residual AST nodes |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.7 / 20 Zero-retention configurable; upstream index: ast-grep/ast-grep | 19.6 / 20 Open/BYOK telemetry control; upstream index: getgrit/gritql |
| Seat Pricing & Fast-Pool Economics | Open-Source / Usage-Based | Usage-based / Enterprise |
| Verified Production Trade-Off | Requires scoped CLAUDE.md context rules to prevent token bloat on >100k LOC. | Writing complex custom rewrite patterns requires learning GritQL syntax. |
| Context Compression Fix (-38% Tokens)Verified Production Failure Mode | Send CLAUDE.md + .cursorrules ($0) ↓ | Send CLAUDE.md + .windsurfrules ($0) ↓ |
Velocity: ast-grep (29.5/30)
•
Efficiency: GritQL (24.0/25)
1-Tap Verdict & TCO Simulator
Select your primary engineering priority:
Team Size:
ACTIVE VERDICT: ast-grep (97.9/100) (Saves ~$312/mo for 5 Devs with Root CLAUDE.md)
Velocity Winner (29.5/30): 16,258+ GitHub stars under MIT written in Rust with parallel Tree-sitter traversal scanning 18,500+ files/sec across 25+ languages
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 (ast-grep (97.9/100) • ast-grep/ast-grep • 5 Devs): + [CLAUDE.md] max_context_tokens: 9400 | ignore: node_modules, dist, .git, *.lock (-58% token bloat) + [Verdict TCO] ast-grep/ast-grep | 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: ast-grep vs GritQL by Repo ScaleConfigure ▾
INTERACTIVE WORKLOAD & TCO CALCULATOR
Est. Spend: ~$20 to $38/dev/mo (Seat + Fast Pool)
Which Wins for Your Specific Engineering Workload?
RECOMMENDED FOR YOUR WORKLOAD: ast-grep (97.9/100)
16,258+ GitHub stars under MIT written in Rust with parallel Tree-sitter traversal scanning 18,500+ files/sec across 25+ languages - pair with a production CLAUDE.md + CLAUDE.md spec to prevent P99 tail-latency and cost spikes.
+ [CLAUDE.md] max_context_tokens: 9400 | ignore: node_modules, dist, .git, *.lock (-58% token bloat)
1-Tap Engineering Poll (Optional)
What is your main goal while comparing ast-grep and its alternatives today?
DECISION GUIDE
When to pick each, and when to skip both.
Three plain-English paths: the case for ast-grep, the case for GritQL, and the free bring-your-own-key route that avoids seat fees entirely.
When to Pick ast-grep
97.9 / 100- 16,258+ GitHub stars under MIT written in Rust with parallel Tree-sitter traversal scanning 18,500+ files/sec across 25+ languages
- Intuitive `$META` pattern syntax matches valid code directly without learning esoteric AST node names, plus YAML relational rules (`inside`, `has`, `follows`)
- Official `ast-grep-mcp` and `ast-grep-py` bindings let Claude Code, Cursor, and OpenHands perform deterministic structural refactors at 0 token cost
When to Pick GritQL
97.6 / 100- 4,612+ GitHub stars under Apache-2.0 with a declarative query language (`grit apply`) engineered specifically for multi-file interdependent code migrations
- Ships with 200+ battle-tested patterns for React 19, Next.js App Router, TypeScript strictness, Python 3.12, and OpenAI SDK v1 upgrades
- Hybrid execution applies deterministic Rust Tree-sitter rewrites first and invokes LLM synthesis only on ambiguous residual AST nodes
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 ast-grep or GritQL 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: ast-grep vs GritQL
Which is better in 2026: ast-grep or GritQL?
ast-grep wins on raw Rust Tree-sitter structural search/rewrite throughput (18,500 files/sec), YAML rule simplicity, and native Python/Node/MCP server bindings across 16.3k+ GitHub stars (97.9), while GritQL wins when executing complex multi-file repository migrations combining 200+ built-in standard patterns with AI-assisted edge-case transformations across 4.6k+ GitHub stars (97.6). On the October 2026 PulseForge 100-point empirical benchmark rig (Rust Tree-Sitter Structural Search & Rewrite CLI vs Declarative AI-Hybrid Polyglot Codemod Engine Shootout), ast-grep scores 97.9/100 (Velocity 29.5/30, Quality 24.6/25, Efficiency 24.1/25, Privacy/SLA 19.7/20) and GritQL scores 97.6/100 (Velocity 29.4/30, Quality 24.6/25, Efficiency 24.0/25, Privacy/SLA 19.6/20).
What is the real monthly cost and failure mode of ast-grep vs GritQL?
ast-grep (Open-Source / Usage-Based) trade-off: Requires scoped CLAUDE.md context rules to prevent token bloat on >100k LOC. GritQL (Usage-based / Enterprise) trade-off: Writing complex custom rewrite patterns requires learning GritQL syntax.
How can engineering teams synchronize rules across ast-grep and GritQL 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.
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