Llama 4 Scout is Meta's best model for research — it scores 78/100 vs 64/100 for Llama 4 Maverick, at $0.5/1M input tokens. Across all providers, Claude Fable 5 still leads research at 100/100 — worth considering if you're not committed to Meta.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Llama 4 Scout is the safest overall answer here when you want the strongest default instead of the lowest list price.
Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.
Llama 4 Maverick is the better pick when large documents, transcripts, or knowledge-heavy work lead the decision.
Llama 4 Scout leads Meta's lineup for research at 78/100 ($0.5/1M input, 512K context).
Llama 4 Scout is the value pick at $0.5/1M input with a research score of 78/100.
Claude Fable 5 (Anthropic) is the overall research leader at 100/100 if provider choice is open.
Choose Llama 4 Scout when research quality is the priority and you're staying on Meta.
Choose Llama 4 Scout when token volume matters more than peak quality.
Teams open to other providers should also evaluate Claude Fable 5 before committing.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Meta / Budget / Jun 8, 2026
Best open-weight long-context option for self-hosted pipelines.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You want a hosted solution — Gemini 3.1 Flash gives more context for roughly the same cost.
The fastest way to see where the recommendation shifts when your priority changes.
Best open-weight long-context option for self-hosted pipelines.
Best flexible option for teams that need open-weight portability.
512K context window at the lowest cost point in the directory
Good for internal analysis pipelines and document processing
Open weights give you full control over deployment
Less polished than hosted frontier models on nuanced tasks
Gemini 3.1 Flash now offers 1M context at only $0.50/1M — bigger and hosted
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Llama 4 Scout — it scores 78/100 on research in this directory, ahead of Llama 4 Maverick at 64/100. Best open-weight long-context option for self-hosted pipelines.
Not overall. Claude Fable 5 (Anthropic) leads the directory for research at 100/100 vs Llama 4 Scout's 78/100. Llama 4 Scout is the best pick if you're staying within Meta's ecosystem.
Llama 4 Scout at $0.5/1M input tokens (research score: 78/100). Use it for volume work and reserve Llama 4 Scout for the tasks where quality matters most.
$0.5/1M input tokens and $1.2/1M output tokens via the API, or through Meta AI at $0/mo for chat use. Context window: 512K tokens.