llama.cpp vs GitHub Copilot vs Kilo Code vs Thinking Machines Tinker

Which one fits you in 2026? Traffic, pricing, input → output, tasks and community side by side.

Your tool
llama.cpp
vs
Competitor 1
GitHub Copilot
Competitor 2
Kilo Code
Competitor 3
Thinking Machines Tinker
Compare
4 tools · best value per row highlighted
Your tool llama.cpp
github.com
llama.cpp is an open-source inference engine that runs large language models and vision-language models on local hardware or in the cloud with minimal setup.
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Competitor GitHub Copilot
github.com
Your AI pair programmer that actually knows the codebase
Make main Remove
Competitor Kilo Code
kilocode.ai
Kilo Code is an open source AI agent Visual Studio (VS) Code extension that focuses on enhancing the efficiency of coding. The tool can generate code, automate tasks, and offer practical suggestions.
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Competitor Thinking Machines Tinker
thinkingmachines.ai
A training API that hands control of model fine-tuning to researchers while someone else deals with the servers and scaling headaches
Make main Remove
Traffic estimated monthly website traffic
Monthly visits
—
637.9Mvisits/mo
1.9Kvisits/mo
1.1Mvisits/mo
MoM change
—
▲ 3.7%
▼ 42.3%
▲ 181.3%
6-month growth
—
+19.3%
-94.4%
+372.8%
Global rank web
—
#49
#4,668,091
#55,584
Avg. last 3 months
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629.7M
10.5K
672K
Bounce rate lower is better
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36%
34%
51%
Pages / visit
—
5.9
2.4
2.6
Visit duration
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6m 26s
19s
1m 57s
Traffic sources
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● Direct 83% · ● Referral 15%
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● Direct 81% · ● Referral 15%
llama.cppGitHub CopilotKilo CodeThinking Machines Tinker
0159.5M318.9M478.4M637.9MGitHub Copilot · 484.3MGitHub Copilot · 504MGitHub Copilot · 542.6MGitHub Copilot · 534.8MGitHub Copilot · 634.3MGitHub Copilot · 631MGitHub Copilot · 636.1MGitHub Copilot · 615.2MGitHub Copilot · 637.9MKilo Code · 744.7KKilo Code · 164KKilo Code · 48.6KKilo Code · 16KKilo Code · 33.5KKilo Code · 14.4KKilo Code · 10.5KKilo Code · 26.4KKilo Code · 3.2KKilo Code · 1.9KThinking Machines Tinker · 421.8KThinking Machines Tinker · 345.6KThinking Machines Tinker · 223.7KThinking Machines Tinker · 298.7KThinking Machines Tinker · 303.2KThinking Machines Tinker · 582.5KThinking Machines Tinker · 375.9KThinking Machines Tinker · 1.1M1K10K100K1M10M100M1BGitHub Copilot · 484.3MGitHub Copilot · 504MGitHub Copilot · 542.6MGitHub Copilot · 534.8MGitHub Copilot · 634.3MGitHub Copilot · 631MGitHub Copilot · 636.1MGitHub Copilot · 615.2MGitHub Copilot · 637.9MKilo Code · 744.7KKilo Code · 164KKilo Code · 48.6KKilo Code · 16KKilo Code · 33.5KKilo Code · 14.4KKilo Code · 10.5KKilo Code · 26.4KKilo Code · 3.2KKilo Code · 1.9KThinking Machines Tinker · 421.8KThinking Machines Tinker · 345.6KThinking Machines Tinker · 223.7KThinking Machines Tinker · 298.7KThinking Machines Tinker · 303.2KThinking Machines Tinker · 582.5KThinking Machines Tinker · 375.9KThinking Machines Tinker · 1.1MNov '25DecJan '26FebMarAprMayJunJulAug
Pricing
Model
Free
Freemium
Freemium
Freemium
Starting price
Free
$4per month · free tier available
$20per month · free tier available
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Free tier
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Free trial
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–
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API access
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Plans
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Free FreeTeam $4/moEnterprise $21/mo
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Inkling-Small Prefill $0.58/usage-basedInkling-Small Sample $0.12/usage-basedVarious Model Training Custom/usage-based
Capabilities input → output
Input
ImagesText
CodeText
CodeText
CodeData
Output
Text
Code
Code
Text
Skill level
Advanced
Intermediate
Advanced
Advanced
Categories
Development & CodeAI APIAI Developer Tools
Development & CodeProductivity & OfficeAI AgentAI Code Review+1 more
Development & CodeAI Coding Assistant
Development & CodeAI APIAI Developer Tools
Tasks what each tool can do · 0 shared · core   partial
Tasks covered
7
9
5
4
Coding
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Coding in VS Code
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LLM development
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APIs
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Developer tools
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Vs code
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Code autocompletion
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Fine-Tuning
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Local AI
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Agents
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–
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Code reviews
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–
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Large language models
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Self hosted
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Agent management
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Code analysis
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Debugging
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Development
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Llama 3 on mac
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Terminal
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Community on aitoolstime
Rating
no ratings yet
no ratings yet
no ratings yet
no ratings yet
Upvotes
▲ 0
▲ 0
▲ 0
▲ 0
Saves
0
0
0
0
Reviews
0
0
0
0
Prompts
0
2
0
0
Verified listing
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Traffic figures are third-party estimates for the tool's own domain; tools sharing a domain with a bigger product are not counted. Pricing is captured from each tool's site and may lag.