GPT-5.4 wins on coding (90 vs 72) and writing quality and price ($2.5 vs $3/1M input) and context window (272K vs 128K). 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.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
OpenAI / Premium / Apr 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 coding benchmark scores — Claude Opus 4.6 and Sonnet 4.6 lead SWE-bench.
The fastest way to see where the recommendation shifts when your priority changes.
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 4.6 and Sonnet 4.6 outperform it on pure 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. Mistral Large 2 is the better pick when balanced team usage with eu data residency requirements. The right choice depends on your specific use case.
GPT-5.4 is cheaper at $2.5/1M input and $15/1M output. Mistral Large 2 costs $3/1M input and $9/1M output.
GPT-5.4 has the larger context window at 272K tokens vs Mistral Large 2's 128K. For large document analysis, GPT-5.4 is the stronger pick.
GPT-5.4 is better for coding with a score of 90 vs Mistral Large 2's 72. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
Both Mistral Large 2 and GPT-5.4 have similar speed profiles — rated balanced.
Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.
Mistral Large 2 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 72 for Mistral Large 2.
GPT-5.4 has the larger context window: 272K vs 128K for Mistral Large 2.
GPT-5.4 is cheaper at $2.5/1M input tokens vs $3/1M for Mistral Large 2.
Choose GPT-5.4 for coding and research — agentic workflows.
Choose Mistral Large 2 when balanced team usage with eu data residency requirements.
Both models serve different primary workflows — consider using each where it has a clear edge.
