Chatbots · Head-to-head

GPT-5.6 Sol vs Meta Llama

GPT-5.6 Sol (paid, AI Score 9.3/10) vs Meta Llama (free, AI Score 7.5/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick GPT-5.6 Sol if…

→overall capability matters more than price (AI Score 9.3 vs 7.5)
→you want our editor's pick for this category
→your primary use case is engineering teams building long-horizon coding or tool-use agents who need a frontier reasoning tier for the hard steps and can route easier calls to terra or luna on the same api key.
→you need: agents

Try GPT-5.6 Sol →

Pick Meta Llama if…

→budget is the constraint
→your primary use case is ml and platform engineers who need weights they can host themselves — for data residency, air-gapped deployment, or per-query cost control — rather than teams chasing the highest benchmark score available.
→you need: productivity

Try Meta Llama →

Spec	GPT-5.6 Sol	Meta Llama
Category	Chatbots	Chatbots
Pricing model	paid	free
Headline pricing	API usage-based: Sol $5/$30 per 1M tokens; cheaper Terra and Luna tiers cut July 30	Free to download and self-host · Cloud API pricing varies by provider
Free tier	No free API tier for Sol. Free and Go ChatGPT accounts default to the cheaper Luna tier instead, with a Think button and unlimited text chats.	The weights themselves are free to download and self-host. The Meta AI consumer assistant is free to use.
AI Score	9.3/10	7.5/10
Best for	Engineering teams building long-horizon coding or tool-use agents who need a frontier reasoning tier for the hard steps and can route easier calls to Terra or Luna on the same API key.	ML and platform engineers who need weights they can host themselves — for data residency, air-gapped deployment, or per-query cost control — rather than teams chasing the highest benchmark score available.
Editor's pick	✓ Yes	—
Use cases	development agents research	development research productivity
Date added	2026-06-27	2025-05-01

Chatbots · paid

✓Generally available since July 9, 2026 — no waitlist or government-coordination gate, so it can carry production traffic
✓Same-family routing by difficulty: Sol for hard problems, Terra and Luna for everything else on one API key
✓Reasoning effort is an explicit control, both as an API parameter and as a consumer slider in ChatGPT Plus and Pro
✓Cerebras-backed serving with a quoted ~750 tokens/sec, which matters for agent loops and streaming code output
✓Now the model answering paid ChatGPT conversations, with OpenAI reporting 68% fewer factual errors on its high-stakes evals

×Sol's $5/$30 has not moved since launch while Terra and Luna were cut 20% and 80% — the tier long agent runs bill against is the one not getting cheaper
×Every headline number (Terminal-Bench SOTA, 68% factuality, ~750 tokens/sec) is OpenAI-measured on undisclosed evaluation sets, with no independent re-run published
×Named in the August 2026 third-party cyber evaluations, where models with safeguards removed pursued real people and organisations — a dual-use profile worth reviewing before security-sensitive use
×Open-weights rivals now score competitively on agentic benchmarks at a fraction of the price, narrowing Sol's case for mid-difficulty work

Chatbots · free

✓Weights are yours to download — no per-query cost, and prompts never leave your infrastructure
✓Mixture-of-experts design keeps inference cost near that of a small dense model
✓Runs almost everywhere: llama.cpp, Ollama, vLLM, plus managed endpoints on every major cloud at once
✓Thousands of community fine-tunes on Hugging Face for domain-specific work
✓Free consumer access through Meta AI in WhatsApp, Instagram, and Messenger

×No longer the strongest open-weight family — DeepSeek and Qwen releases match or beat Llama 4 on most public benchmarks
×The 10M-token context is a nominal ceiling; independent long-context evals show quality dropping well before it
×Not OSI open source: 700M monthly-active-user cap, and the multimodal weights are not licensed to EU-domiciled entities
×Meta previewed a larger Behemoth model that never shipped as weights, leaving the frontier open-release commitment unclear

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.