AiRecMark/Comparisons/Kilo vs Tabby
HASH: 0x681a...9b37 SNAPSHOT: 2026-09-15 CORPUS: CODING CATEGORY • DIMS V2-5DIM
EMPIRICAL BENCHMARK DOSSIER N=2 ARCHIVED TOOLS • 5 DIMENSIONS

Kilo vs Tabby: output quality and workflow fit on the deterministic index

Kilo (open-source VS Code coding agent (Kilo Code) with 500+ models) and Tabby (self-hosted, open-source code completion with a cloud option) go head-to-head across AiRecMark's deterministic five-dimension index — quality, features, usability, performance and value — with every score drawn from published tool archives as of 2026-09-15. Which coding tool should teams standardize on?

workspace_premium AiRecMark Verified Winner

Kilo Wins by +1.4 Overall Points

Kilo (84.0/100) leads the Airecmark five-dimension composite, taking Output Quality, Feature Depth. Tabby (82.6/100) stays ahead on Performance, Value for Money. Kilo entry pricing is roughly 21% lower ($15/user).

Delta: +1.4 Composite Score Kilo Output Quality Lead: +4 pts Tabby Performance Lead: +2 pts
Kilo 84.0
Output Quality84
Feature Depth84
Usability84
Performance82
Value for Money86
Inspect Kilo →
Tabby 82.6
Output Quality80
Feature Depth76
Usability84
Performance84
Value for Money90
Inspect Tabby →
Archive vectors

5-Axis Differential Engine Performance

Kilo
Tabby
Feature Depth +8.0 pt Lead

Kilo takes Feature Depth by 8.0 points (84 vs 76) on AiRecMark's deterministic five-dimension index.

KILO (84)84 / 100
TABBY (76)76 / 100
Output Quality +4.0 pt Lead

Kilo takes Output Quality by 4.0 points (84 vs 80) on AiRecMark's deterministic five-dimension index.

KILO (84)84 / 100
TABBY (80)80 / 100
Value for Money +4.0 pt Lead

Tabby takes Value for Money by 4.0 points (90 vs 86) on AiRecMark's deterministic five-dimension index.

TABBY (90)90 / 100
KILO (86)86 / 100
Scenario Architecture

Choose Your Coding Tool by Working Style

Both tools sit near the top of the coding category, but their dimension profiles and pricing models produce clearly distinct working styles.

terminal

Standardize on Kilo if...

Optimized for: BYOK Open-Source Agent Users
  • check_circle Composite lead (84.0/100): tops the Airecmark index against Tabby (82.6/100) on the archive-recorded five-dimension composite.
  • check_circle Leads Output Quality (84 vs 80): a 4-point edge on the deterministic index.
  • check_circle MIT-licensed OSS across VS Code/JetBrains/CLI: cited in the Airecmark editorial assessment as a differentiator versus Tabby.
  • check_circle Gateway bills at exact provider cost — no markup: cited in the Airecmark editorial assessment as a differentiator versus Tabby.
SUBSCRIPTION TIER $15 / user
Try Kilo arrow_forward freemium • from $15/user • Kilo (Anaconda)
speed

Standardize on Tabby if...

Optimized for: Self-Hosting & Privacy Teams
  • check_circle Leads Performance (84 vs 82): a 2-point edge on the deterministic index.
  • check_circle Free self-hosted community edition: cited in the Airecmark editorial assessment as a differentiator versus Kilo.
  • check_circle Your code never leaves your infra: cited in the Airecmark editorial assessment as a differentiator versus Kilo.
  • check_circle Answer engine + inline chat beyond completion: cited in the Airecmark editorial assessment as a differentiator versus Kilo.
SUBSCRIPTION TIER $19 / user
Try Tabby arrow_forward freemium • from $19/user • TabbyML
Empirical Breakdown

5-Axis Benchmark Deep Dive

Dimension scores are drawn from the AiRecMark tool archives (V2-5DIM, as of 2026-09-15) on a 0-100 scale; per-axis winner calls use the higher dimension score with deterministic tie handling.

AXIS 01

Output Quality

Accuracy, depth and reliability of primary outputs
KILO: 8.4 / 10 TABBY: 8 / 10 WINNER: KILO
Kilo — Output Quality

Kilo posts 84 / 100 on Output Quality. The audit highlights mIT-licensed OSS across VS Code/JetBrains/CLI and gateway bills at exact provider cost — no markup as its signature strengths.

Tabby — Output Quality

Tabby posts 80 / 100 on Output Quality. The audit highlights free self-hosted community edition and your code never leaves your infra as its signature strengths.

AXIS 02

Feature Depth

Breadth, maturity and extensibility of the capability set
KILO: 8.4 / 10 TABBY: 7.6 / 10 WINNER: KILO
Kilo — Feature Depth

Kilo posts 84 / 100 on Feature Depth. The audit highlights mIT-licensed OSS across VS Code/JetBrains/CLI and gateway bills at exact provider cost — no markup as its signature strengths.

Tabby — Feature Depth

Tabby posts 76 / 100 on Feature Depth. The audit highlights free self-hosted community edition and your code never leaves your infra as its signature strengths.

AXIS 03

Usability

Onboarding, interface clarity and daily ergonomics
KILO: 8.4 / 10 TABBY: 8.4 / 10 STATISTICAL TIE
Kilo — Usability

Kilo posts 84 / 100 on Usability. The audit highlights mIT-licensed OSS across VS Code/JetBrains/CLI and gateway bills at exact provider cost — no markup as its signature strengths.

Tabby — Usability

Tabby posts 84 / 100 on Usability. The audit highlights free self-hosted community edition and your code never leaves your infra as its signature strengths.

AXIS 04

Performance

Speed, stability and consistency under production load
KILO: 8.2 / 10 TABBY: 8.4 / 10 WINNER: TABBY
Kilo — Performance

Kilo posts 82 / 100 on Performance. The audit highlights mIT-licensed OSS across VS Code/JetBrains/CLI and gateway bills at exact provider cost — no markup as its signature strengths.

Tabby — Performance

Tabby posts 84 / 100 on Performance. The audit highlights free self-hosted community edition and your code never leaves your infra as its signature strengths.

AXIS 05

Value for Money

Pricing fairness relative to delivered capability
KILO: 8.6 / 10 TABBY: 9 / 10 WINNER: TABBY
Kilo — Value for Money

Kilo posts 86 / 100 on Value for Money. Published entry pricing: Free & OSS (BYOK) · Teams $15/user/mo · Kilo Pass credits $19-199/mo · Enterprise custom.

Tabby — Value for Money

Tabby posts 90 / 100 on Value for Money. Published entry pricing: Community free self-hosted (≤5 users) · Team $19/seat/mo · Cloud pay-per-token ($20 free credits/mo).

Feature-by-Feature Matrix

Exhaustive Technical Specification Diff

COMPLIANCE: AIRECMARK EVALUATION PROTOCOL V2.4
Capability / Specification Kilo ($15/user) Tabby ($19/user) Deterministic Winner
Overall AirecMark Score
Composite of the five recorded dimensions
84.0 / 100 82.6 / 100 Kilo (Composite lead)
Output Quality
Accuracy, depth and reliability of primary outputs
84 / 100 80 / 100 Kilo (+4 pts)
Feature Depth
Breadth, maturity and extensibility of the capability set
84 / 100 76 / 100 Kilo (+8 pts)
Usability
Onboarding, interface clarity and daily ergonomics
84 / 100 84 / 100 Tie (Identical score)
Performance
Speed, stability and consistency under production load
82 / 100 84 / 100 Tabby (+2 pts)
Value for Money
Pricing fairness relative to delivered capability
86 / 100 90 / 100 Tabby (+4 pts)
Starting Price
Published entry pricing (USD)
Free & OSS (BYOK) · Teams $15/user/mo · Kilo Pass credits $19-199/mo · Enterprise custom Community free self-hosted (≤5 users) · Team $19/seat/mo · Cloud pay-per-token ($20 free credits/mo) Kilo (Lower entry price)
Best For
Documented target audience
BYOK Open-Source Agent Users Self-Hosting & Privacy Teams Tie (Use-case dependent)
Engineering Operations

Migration Playbook: Switching Without Friction

Swapping a daily driver mid-project is costly. Follow this three-step checklist to evaluate Kilo and Tabby on equal terms before standardizing your team.

01

Export Config, Prompts & Data

Inventory what each candidate needs: prompt libraries, templates, connected accounts and project files. Export from your current stack first so Kilo and Tabby start from the same baseline.

SETUP: SAME BASELINE
02

Map Pricing to Your Real Usage

Compare published entry tiers against your expected volume. Kilo starts at $15/user (freemium); Tabby starts at $19/user (freemium) — model the monthly cost at your actual workload before committing.

ECONOMICS: PUBLISHED TIERS
03

Run a Two-Week Parallel Trial

Run both tools on the same live tasks for ten working days. Score outputs against the five Airecmark dimensions, then let the 1.4-point composite gap — not vendor marketing — decide the standardization call.

balance

Deterministic Evaluation Methodology & Integrity Standard

AiRecMark evaluates every tool against its deterministic five-dimension index (Quality, Features, Usability, Performance, Value) using official documentation, published pricing pages and the published five-dimension rubric. All scores, deltas and winner calls in this dossier are drawn from the published tool archives as of 2026-09-15 and can be traced back to the public tool profiles.

Affiliate Blind Trust Policy: Any referral commissions or partner links generated through AiRecMark are routed into a blind trust utilized exclusively to fund bare-metal compute benchmarks. Zero sponsored placement or ranking distortion is permitted under any circumstances.

BENCHMARK ENGINE: AIRECMARK-DETERMINISTIC-V2.4 SOURCE: DATA/TOOLS/*.JSON
VERDICT SUMMARY