GPT-5.6 just dropped — the code review gap with Claude is finally closed
GPT-5.6 just dropped — the code review gap with Claude is finally closed I ran GPT-5.6 against GPT-5.5, Claude Sonnet 4.5, and DeepSeek-V4 on the same 20 coding tasks I have been using since April. The biggest change:
GPT-5.6 just dropped — the code review gap with Claude is finally closed
I ran GPT-5.6 against GPT-5.5, Claude Sonnet 4.5, and DeepSeek-V4 on the same 20 coding tasks I have been using since April. The biggest change: code review.
GPT-5.5 vs GPT-5.6: what actually improved
| Task | GPT-5.5 | GPT-5.6 | Claude |
|---|---|---|---|
| Coding | 18/20 | 19/20 | 17/20 |
| Code review | 14/20 | 18/20 | 17/20 |
| Complex reasoning | 17/20 | 18/20 | 15/20 |
| Creative writing | 15/20 | 16/20 | 17/20 |
Code review went from 14/20 to 18/20. This is the first time an OpenAI model genuinely matches Claude on catching subtle bugs. I ran both on the same 10 files from my production codebase:
- GPT-5.6 found 3 bugs Claude missed (CSS specificity, cron edge case, race condition)
- Claude found 2 bugs GPT-5.6 missed (string encoding edge cases)
Speed and pricing
GPT-5.6 generates tokens 40% faster than 5.5. A 500-line code review: 7 seconds vs 12 seconds. API pricing unchanged: $15/M input, $60/M output. Pro still $200/month.
Does this change my stack?
Before: GPT-5.5 for reasoning, Claude for code review, DeepSeek for bulk.
After: GPT-5.6 for both coding and reasoning. Claude now only for creative writing. DeepSeek for bulk.
From 3 models to effectively 2. If OpenAI keeps this pace, the next iteration could make Claude redundant for my workflow entirely.
Full review: GPT-5.6 on saas.pet
Previous benchmark: GPT-5.5 vs Claude vs DeepSeek
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.