OpenAI

GPT-5.6

7.2/10

Strengths & weaknesses

Best-in-class agentic reasoning, with search, code execution, and computer use in one API
Disciplined, low-hallucination output on long, multi-step tasks

80% of weight measured

Scored on GPT-5.6 Sol · sources as of Sep 19, 2026

Reasoningw309.1
Rule B1,480 rating · Ranks 3 of 22 measured in Language Models · LMArena text arena, hard prompts (gpt-5.6-sol-xhigh) · Sep 13, 2026
Accuracyw20—
No independent measurement yet
Writingw108.6
Rule B1,452 rating · Ranks 4 of 22 measured in Language Models · LMArena text arena, creative writing (gpt-5.6-sol-xhigh) · Sep 13, 2026
Long contextw1010.0
Rule B1,050,000 tokens · Ranks 1 of 17 measured in Language Models · OpenRouter, context window · Sep 19, 2026
Cost efficiencyw202.9
Rule B$4.00 per 1M tokens (blended) · Ranks 13 of 17 measured in Language Models · OpenRouter, blended price per token · Sep 19, 2026
Deployabilityw106.0
Rule C3 of 5 items · 3 × 2 points · Deployability checklist (OpenRouter data) · Sep 19, 2026

w = weight, each criterion’s share of the overall score. Missing marks don’t count for or against. How scoring works

Enterprise fit

Where GPT-5.6 fits inside a company, ranked by the strength of published ROI evidence for each use case, then by its independent rating for the work.

01
Research, analysis & reportingControlled trial
Strategy, consulting, finance
- ▸ Rated #3 of 22 directory models on LMArena text (hard prompts), the closest independent rating for this work
- ▸ Built for this kind of work (Language Models)
02
Marketing, content & salesControlled trial
Marketing & sales
- ▸ Rated #4 of 22 directory models on LMArena text (creative writing), the closest independent rating for this work
- ▸ Built for this kind of work (Language Models)
03
Document & data processingControlled trial
Operations, legal, finance back office
- ▸ Rated #3 of 9 directory models on LMArena document, the closest independent rating for this work