Llama 4 Maverick wins on price ($0.6 vs $2.5/1M input). GPT-5.4 wins on coding (90 vs 58) and writing quality. For most workflows, GPT-5.4 is the stronger default — best for agentic automation and desktop control workflows.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GPT-5.4 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.
GPT-5.4 leads on coding with a score of 90 vs 58 for Llama 4 Maverick.
GPT-5.4 has the larger context window: 272K vs 256K for Llama 4 Maverick.
Llama 4 Maverick is cheaper at $0.6/1M input tokens vs $2.5/1M for GPT-5.4.
Choose GPT-5.4 for coding and research — agentic workflows.
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.
OpenAI / Premium / May 29, 2026
Best for agentic automation and desktop control workflows.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks.
The fastest way to see where the recommendation shifts when your priority changes.
Best flexible option for teams that need open-weight portability.
Best for agentic automation and desktop control workflows.
Only frontier model that can control a desktop via API (click, type, navigate)
Strong at multi-step agentic tasks and autonomous workflows
Competitive coding performance with 74.9% SWE-bench score
Claude Opus 4.7 and GPT-5.5 now outperform it on current premium coding benchmarks
Smaller context window (272K) vs Gemini 3.1 Pro (2M) for research
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.
GPT-5.4 wins on more categories — coding, research, reasoning. 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. GPT-5.4 costs $2.5/1M input and $15/1M output.
GPT-5.4 has the larger context window at 272K tokens vs Llama 4 Maverick's 256K. For large document analysis, GPT-5.4 is the stronger pick.
GPT-5.4 is better for coding with a score of 90 vs Llama 4 Maverick's 58. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
Llama 4 Maverick is faster with a fast speed rating (score: 4) vs GPT-5.4's balanced rating (score: 3).
