Muse Spark wins on coding (89 vs 58) and writing quality and context window (1.048576M vs 256K). Llama 4 Maverick wins on price ($0.6 vs $1.25/1M input). For most workflows, Muse Spark is the stronger default — best-value multimodal agentic model — gpt-5.5-tier smarts, video/audio/pdf in.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Muse Spark is the safest overall answer here when you want the strongest default instead of the lowest list price.
Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.
Llama 4 Maverick is the better pick when response speed matters more than maximum reasoning depth.
Muse Spark leads on coding with a score of 89 vs 58 for Llama 4 Maverick.
Muse Spark has the larger context window: 1.048576M vs 256K for Llama 4 Maverick.
Llama 4 Maverick is cheaper at $0.6/1M input tokens vs $1.25/1M for Muse Spark.
Choose Muse Spark for reasoning and multimodal — agentic tool-use and multimodal reasoning at aggressive pricing.
Choose Llama 4 Maverick when flexible self-hosted deployments and mixed general workloads.
Llama 4 Maverick is the more cost-efficient option at $0.6/1M — worth considering if token volume is a concern.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Meta / Balanced / Aug 6, 2026
Best-value multimodal agentic model — GPT-5.5-tier smarts, video/audio/PDF in.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need frontier-ceiling reasoning or a mature developer ecosystem — Opus 5 and GPT-5.6 lead both.
The fastest way to see where the recommendation shifts when your priority changes.
Best-value multimodal agentic model — GPT-5.5-tier smarts, video/audio/PDF in.
Best flexible option for teams that need open-weight portability.
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)
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
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Newsletter
Useful if you care about ranking shifts, pricing changes, or a better recommendation appearing in this decision path.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Muse Spark wins on more categories — reasoning, multimodal, research. Llama 4 Maverick is the better pick when flexible self-hosted deployments and mixed general workloads. The right choice depends on your specific use case.
Llama 4 Maverick is cheaper at $0.6/1M input and $1.6/1M output. Muse Spark costs $1.25/1M input and $4.25/1M output.
Muse Spark has the larger context window at 1.048576M tokens vs Llama 4 Maverick's 256K. For large document analysis, Muse Spark is the stronger pick.
Muse Spark is better for coding with a score of 89 vs Llama 4 Maverick's 58 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.
Llama 4 Maverick is faster with a fast speed rating (score: 4) vs Muse Spark's balanced rating (score: 3).