GPT-5.5 wins on coding (96 vs 72) and writing quality and context window (1M vs 128K). Mistral Large 2 wins on price ($3 vs $5/1M input). For most workflows, GPT-5.5 is the stronger default — best openai flagship for agentic coding, research, and computer-use work.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GPT-5.5 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.
Mistral Large 2 is the better pick when response speed matters more than maximum reasoning depth.
GPT-5.5 leads on coding with a score of 96 vs 72 for Mistral Large 2.
GPT-5.5 has the larger context window: 1M vs 128K for Mistral Large 2.
Mistral Large 2 is cheaper at $3/1M input tokens vs $5/1M for GPT-5.5.
Choose GPT-5.5 for coding and research — agentic coding.
Choose Mistral Large 2 when balanced team usage with eu data residency requirements.
Mistral Large 2 is the more cost-efficient option at $3/1M — 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 28, 2026
Best OpenAI flagship for agentic coding, research, and computer-use work.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You only care about the highest public coding benchmark score or need a cheaper high-volume model.
The fastest way to see where the recommendation shifts when your priority changes.
Best OpenAI flagship for agentic coding, research, and computer-use work.
Best balanced generalist for EU teams with data residency needs.
58.6% on SWE-Bench Pro, ahead of GPT-5.4 on the same public coding benchmark
82.7% on Terminal-Bench 2.0 for complex command-line workflows
1M token API context window for large-codebase and document-heavy workflows
Claude Opus 4.7 leads GPT-5.5 on SWE-Bench Pro for pure coding ceiling
Premium API pricing makes it less attractive for high-volume low-risk work
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-5.5 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.
Mistral Large 2 is cheaper at $3/1M input and $9/1M output. GPT-5.5 costs $5/1M input and $30/1M output.
GPT-5.5 has the larger context window at 1M tokens vs Mistral Large 2's 128K. For large document analysis, GPT-5.5 is the stronger pick.
GPT-5.5 is better for coding with a score of 96 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 GPT-5.5 and Mistral Large 2 have similar speed profiles — rated balanced.
