Qwen 3.8 Max wins on price ($2 vs $5/1M input). GPT-5.6 Sol wins on coding (97 vs 93) and writing quality. For most workflows, GPT-5.6 Sol is the stronger default — best openai flagship — leads terminal coding and agentic browsing.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GPT-5.6 Sol 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.
Qwen 3.8 Max is the better pick when response speed matters more than maximum reasoning depth.
GPT-5.6 Sol leads on coding with a score of 97 vs 93 for Qwen 3.8 Max.
GPT-5.6 Sol has the larger context window: 1.05M vs 1M for Qwen 3.8 Max.
Qwen 3.8 Max is cheaper at $2/1M input tokens vs $5/1M for GPT-5.6 Sol.
Choose GPT-5.6 Sol for coding and research — frontier agentic coding.
Choose Qwen 3.8 Max when multimodal and vision-heavy workloads at scale.
Qwen 3.8 Max is the more cost-efficient option at $2/1M — 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 / Aug 6, 2026
Best OpenAI flagship — leads terminal coding and agentic browsing.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Repo-level coding is the main job — Opus 5 leads SWE-bench Pro by ~15 points — or you're cost-sensitive (Terra is 60% cheaper at 1–4 points off).
The fastest way to see where the recommendation shifts when your priority changes.
Best Chinese flagship — beats GPT-5.6 Sol on coding, #2 globally for vision.
Best OpenAI flagship — leads terminal coding and agentic browsing.
Terminal-Bench 2.1 leader at 88.8% (91.9% ultra) — the top OpenAI agentic-coding result
94.6% GPQA Diamond and 90.4% BrowseComp — frontier science reasoning and agentic browsing
Artificial Analysis Coding Agent Index leader at 80 points, near Fable 5 intelligence at roughly one-third the cost
Trails Claude Opus 5 badly on repository-level engineering (SWE-bench Pro 64.6% vs 79.2%)
Long-context surcharge ($10/$45 above 272K) and 2–3x ultra-mode costs stack up fast
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-5.6 Sol wins on more categories — coding, research, reasoning. Qwen 3.8 Max is the better pick when multimodal and vision-heavy workloads at scale. The right choice depends on your specific use case.
Qwen 3.8 Max is cheaper at $2/1M input and $6/1M output. GPT-5.6 Sol costs $5/1M input and $30/1M output.
GPT-5.6 Sol has the larger context window at 1.05M tokens vs Qwen 3.8 Max's 1M. For large document analysis, GPT-5.6 Sol is the stronger pick.
GPT-5.6 Sol is better for coding with a score of 97 vs Qwen 3.8 Max's 93 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.
Qwen 3.8 Max is faster with a balanced speed rating (score: 3) vs GPT-5.6 Sol's deliberate rating (score: 2).