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Home/Best Meta Model for Research
Best Meta pickMeta · Research

Best Meta Model for Research

Muse Spark is Meta's best model for research — it scores 90/100 vs 78/100 for Llama 4 Scout, at $1.25/1M input tokens. Across all providers, Claude Fable 5 still leads research at 100/100 — worth considering if you're not committed to Meta.

Last verified Aug 15, 2026/Model data modified Aug 15, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
MetaBalanced
Input cost
$1.25/1M
Context
1.0M tokens
Speed
Balanced

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

Muse Spark

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Why this recommendation

Muse Spark is the safest overall answer here when you want the strongest default instead of the lowest list price.

MetaBalanced
Best for
Agentic tool-use and multimodal reasoning at aggressive pricing
Price
$1.25/1M
Context
1.0M tokens
Best budget model

Meta: Llama 3.1 8B Instruct

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Why this recommendation

Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.

MetaBudget
Best for
High-throughput applications where cost and speed matter more than frontier-level quality, such as chatbots, content classification, and text summarization.
Price
$0.05/1M
Context
16k tokens
Best for long context

Llama 4 Scout

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Why this recommendation

Llama 4 Scout is the better pick when large documents, transcripts, or knowledge-heavy work lead the decision.

MetaBudget
Best for
Affordable self-hosted long-context workflows and analysis pipelines
Price
$0.10/1M
Context
512k tokens

Why this page recommends it

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.

Decision notes

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.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1Llama 4 Scout67 pts
#2Llama 4 Maverick63 pts
Quality first

Llama 4 Scout

Meta / Budget / Aug 7, 2026

67

Best open-weight long-context option for self-hosted pipelines.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$0.10/1M
$0.30/1M out
Speed
Fast
4/100 score
Context
512k tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You want a hosted solution — Gemini 3.1 Flash gives more context for roughly the same cost.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

MetaBudgetBest Meta pick

Llama 4 Scout

Best open-weight long-context option for self-hosted pipelines.

Best use case
Affordable self-hosted long-context workflows and analysis pipelines
Input
$0.10/1M
Pricing
Budget
Speed
Fast
Context
512k tokens
Long contextCheapOpen weights
MetaBudgetOption 2

Llama 4 Maverick

Best flexible option for teams that need open-weight portability.

Best use case
Flexible self-hosted deployments and mixed general workloads
Input
$0.20/1M
Pricing
Budget
Speed
Fast
Context
256k tokens
Open weightsSelf-hostedFlexible

Pros

Muse Spark 1.2 scores 80% on Terminal-Bench 2.1 and ranks #5 overall on GDPval-AA v2 (Elo 1631), ahead of Claude Opus 4.8 on agentic tasks

Natively multimodal in: text, image, video, audio, and PDF — broader input support than most rivals

$1.25/$4.25 per 1M tokens — among the most cost-efficient models at its intelligence level (~$0.40/task)

Cons

Trails the frontier on raw intelligence: AA Intelligence Index 54 vs Claude Opus 5 (61) and GPT-5.6 Sol (59)

Weak on some hard agentic evals (27% tau3-Banking) and the API ecosystem is young — public API only since July 2026

Explore related decisions

Meta
Llama 4 ScoutBest open-weight long-context option for self-hosted pipelines.Read guide
Provider
Meta models & pricingEvery Meta model compared on price, context window, and capability.Read guide
Guide
Best AI for ResearchClaude Opus 4.7 and Gemini 3.1 Pro lead AI research in 2026. Compare 1M-token context models, Perplexity for real-time search, and the best picks for document…Read guide
Tool
Compare models side by sidePick any two models and see pricing, benchmarks, and context windows in one table.Read guide
Pricing
AI API pricing comparisonInput and output cost per million tokens for every model, updated when providers change prices.Read guide

Quick links

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How we evaluate AI models

UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.

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FAQ

Which Meta model is best for research?

Muse Spark — it scores 90/100 on research in this directory, ahead of Llama 4 Scout at 78/100. Best-value multimodal agentic model — GPT-5.5-tier smarts, video/audio/PDF in.

Is Muse Spark the best research model overall?

Not overall. Claude Fable 5 (Anthropic) leads the directory for research at 100/100 vs Muse Spark's 90/100. Muse Spark is the best pick if you're staying within Meta's ecosystem.

What is the cheapest Meta model that is still good at research?

Llama 4 Scout at $0.5/1M input tokens (research score: 78/100). Use it for volume work and reserve Muse Spark for the tasks where quality matters most.

How much does Muse Spark cost?

$1.25/1M input tokens and $4.25/1M output tokens via the API, or through Meta AI (free) at $0/mo for chat use. Context window: 1.048576M tokens.