GPT-5.2 Mini wins on coding (78 vs 54) and writing quality. Llama 4 Scout wins on price ($0.5 vs $1.2/1M input) and context window (512K vs 128K). For most workflows, GPT-5.2 Mini is the stronger default — solid openai budget option, though gemini flash offers better value.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GPT-5.2 Mini is the safest overall answer here when you want the strongest default instead of the lowest list price.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
OpenAI / Balanced / Mar 23, 2026
Solid OpenAI budget option, though Gemini Flash offers better value.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Cost is your primary concern — Gemini 3.1 Flash offers more for less.
The fastest way to see where the recommendation shifts when your priority changes.
Cheaper than flagship models without becoming toy-grade
Good for edits, summaries, and repetitive operational prompts
Fast enough for embedded product experiences
Weaker on nuanced reasoning than premium models
Gemini 3.1 Flash is now cheaper with a larger context window
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-5.2 Mini wins on more categories — coding, budget, writing. Llama 4 Scout is the better pick when affordable self-hosted long-context workflows and analysis pipelines. The right choice depends on your specific use case.
Llama 4 Scout is cheaper at $0.5/1M input and $1.2/1M output. GPT-5.2 Mini costs $1.2/1M input and $4.8/1M output.
Llama 4 Scout has the larger context window at 512K tokens vs GPT-5.2 Mini's 128K. For large document analysis, Llama 4 Scout is the stronger pick.
GPT-5.2 Mini is better for coding with a score of 78 vs Llama 4 Scout's 54. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
Both GPT-5.2 Mini and Llama 4 Scout have similar speed profiles — rated fast.
Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.
Llama 4 Scout is the better pick when response speed matters more than maximum reasoning depth.
GPT-5.2 Mini leads on coding with a score of 78 vs 54 for Llama 4 Scout.
Llama 4 Scout has the larger context window: 512K vs 128K for GPT-5.2 Mini.
Llama 4 Scout is cheaper at $0.5/1M input tokens vs $1.2/1M for GPT-5.2 Mini.
Choose GPT-5.2 Mini for coding and budget — budget technical workflows and high-volume product integrations.
Choose Llama 4 Scout when affordable self-hosted long-context workflows and analysis pipelines.
Llama 4 Scout is the more cost-efficient option at $0.5/1M — worth considering if token volume is a concern.
