Chatbots · Head-to-head
GPT-6.1 Sol vs Meta Llama
GPT-6.1 Sol (paid, AI Score 8.8/10) vs Meta Llama (free, AI Score 8.7/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick Meta Llama if…
- →you need a genuinely free option
- →budget is the constraint
- →your primary use case is teams with ml engineering capability who want open-weight models to self-host, fine-tune, or deploy through cloud apis instead of paying per query for a closed model.
- →you need: development, productivity
Side-by-side specs
| Spec | GPT-6.1 Sol | Meta Llama |
|---|---|---|
| Category | Chatbots | Chatbots |
| Pricing model | paid | free |
| Headline pricing | $2/$10 per 1M tokens (input/output); cached input $0.10/1M; paid ChatGPT Work/Codex | Free (self-hosted) · Cloud API pricing varies by provider |
| Free tier | — | Completely free when self-hosted. Meta AI chatbot is free for consumer use. |
| AI Score | 8.8/10 | 8.7/10 |
| Best for | — | Teams with ML engineering capability who want open-weight models to self-host, fine-tune, or deploy through cloud APIs instead of paying per query for a closed model. |
| Editor's pick | ✓ Yes | ✓ Yes |
| Use cases | — | development productivity |
| Date added | 2026-10-06 | 2025-05-01 |
Pros and cons
GPT-6.1 Sol
Chatbots · paid
Pros
- ✓Launch positioning is near-Astra quality at roughly one-fifth the price
- ✓Cached input at $0.10 per million tokens for repeated agent context
- ✓Built for agentic coding and computer use, not only chat
- ✓Reachable from the API and from paid ChatGPT Work/Codex without a extra product login
Cons
- ×Still the mid-tier GPT-6 SKU; Astra remains the flagship
- ×Not on free ChatGPT — Work, Codex, or API only
- ×Independent public eval tables are thinner than the launch narrative; treat 'near-Astra' as OpenAI's claim
- ×A poor fit if you only need a consumer chatbot and do not run agents or computer use
Meta Llama
Chatbots · free
Pros
- ✓Fully open weights — download, modify, and deploy without per-query costs
- ✓Llama 4 Scout offers 10M token context, the longest available in any production model
- ✓MoE architecture delivers strong quality at much lower inference cost than dense models
- ✓Massive ecosystem of fine-tuned variants, tooling, and cloud provider support
- ✓Meta AI chatbot provides free consumer access across WhatsApp, Instagram, and Messenger
Cons
- ×Still trails top closed models (Claude Opus 4, GPT-4.5) on complex reasoning and nuanced writing
- ×Running larger models locally requires serious hardware — Maverick needs multi-GPU setups
- ×No official desktop app or IDE integration; consumer experience limited to Meta AI chatbot
- ×Llama Community License restricts companies with 700M+ monthly active users
Related comparisons
Updated 2026-10-06. Spec data sourced from official product pages and tracked in our public directory at /tools.