Codestral 25.01 wins on price ($0.9 vs $2.5/1M input). GPT-5.4 wins on coding (90 vs 88) 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.
Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.
Codestral 25.01 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 88 for Codestral 25.01.
GPT-5.4 has the larger context window: 272K vs 256K for Codestral 25.01.
Codestral 25.01 is cheaper at $0.9/1M input tokens vs $2.5/1M for GPT-5.4.
Choose GPT-5.4 for coding and research — agentic workflows.
Choose Codestral 25.01 when affordable high-volume coding support.
Codestral 25.01 is the more cost-efficient option at $0.9/1M — 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 / Jul 15, 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 budget-focused coding specialist for high-volume developer teams.
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.
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GPT-5.4 wins on more categories — coding, research, reasoning. Codestral 25.01 is the better pick when affordable high-volume coding support. The right choice depends on your specific use case.
Codestral 25.01 is cheaper at $0.9/1M input and $2.7/1M 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 Codestral 25.01'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 Codestral 25.01's 88 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.
Codestral 25.01 is faster with a very fast speed rating (score: 5) vs GPT-5.4's balanced rating (score: 3).