IonWarpStarter
Try AI PR review.
- 2 reviewers
- Code Review
- Security Review
- 3 seats included
- 15,000 credits to start, then 5,000/mo
- Unlimited repos
GPT 5.6 code review
GPT 5.6 code review: GPT 5.6 Luna Pro benchmarks on real pull requests
GPT 5.6 Luna Pro is the most precise model we have run on code review, and the one that finds the fewest bugs. On 50 open-source pull requests with 158 known issues, 73% of its findings matched a known issue, but it found only 46: an F1 of 41.6%, for about 12 cents a review in a median 107 seconds.[1]
On the code review benchmark it was the only one of our five models to flag a Discourse controller that built SQL by pasting in host names, open to SQL injection.[2]
Where GPT 5.6 Luna Pro leads, and where it does not
Code review: precise, and it misses most bugs
46 of 158 known issues found, with 17 findings that matched none. Muse Spark 1.3 found 79 and DeepSeek V4.1 Flash 75.[1]
Code ReviewOn Starter, Pro and Max
Security: every finding matched, 3 of 18 found
Every finding it posted on 13 security pull requests matched a known issue, but it found 3 of 18: an F1 of 28.6%, last of the seven models. GLM 5.3 Flash found 10.[3]
Security ReviewOn Starter, Pro and Max
SOC 2: near the top, in 37 seconds
10 of 15 known control gaps found, an F1 of 64.5% against 66.7% for the leaders, DeepSeek V4.1 Flash and GLM 5.3 Flash.[4]
SOC 2 ReviewOn Max
CI/CD, API performance, logs and AI architecture: behind
54.5% on CI/CD, fourth of five models;[5] 50.0% on API performance, fourth of six;[6] 36.0% on logs, last of five;[7] and 35.3% on AI architecture, fourth of eight.[8] We did not run it on docs.
Simple pricing for your whole team.
One workspace price with seats included. Credits pool across your team. Unlimited repos on every plan.
Pro
Most popularGet AI PR review right from day 1.
- +5 reviewers
- DevOps Review
- Docs Review
- AI Architecture
- Log & Errors
- Cost Review
- 5 seats included
- +25,000 credits/mo
- +$29/mo per added seat
- Unlimited repos
Max
Scale AI PR review.
- +9 reviewers
- UX Review
- API Performance
- Analytics Review
- SEO Review
- Changelog
- CI/CD Performance
- Plan Review
- Repeat-Failure Learnings
- SOC 2 Review
- 10 seats included
- +75,000 credits/mo
- +$29/mo per added seat
- Unlimited repos
- Priority support
Enterprise
Custom reviewers + credits · GitHub Enterprise · SSO/SAML + audit logs · Custom security review + SLA
Frequently asked questions
Is GPT 5.6 good for code review?
GPT 5.6 Luna Pro is precise and fast, and it finds few bugs: 46 of 158 known issues on our code benchmark, against 79 for Muse Spark 1.3. We have not run the other GPT 5.6 models.
Which GPT 5.6 models did you benchmark?
Only GPT 5.6 Luna Pro, on eight of our nine review types (all but docs). We have not run GPT 5.6 Sol, GPT 5.6 Terra or GPT 5.6 Luna, so none of these numbers speak for them. The Cost Review benchmark ran GPT-6 Luna Pro, a different model.
What does a GPT 5.6 Luna Pro review cost?
In model fees on our benchmarks, about 12 cents a code review and 1 to 11 cents on the smaller specialist reviews. IonWarp plans include the model cost: Pro is $49/mo for the workspace.
Can IonWarp run GPT 5.6 Luna Pro?
Yes. It is one of the models IonWarp's reviewers are pinned to (DeepSeek V4.1 Flash, GLM 5.3 Flash, GPT 5.6 Luna Pro), and you can switch any reviewer's model in settings.
Sources
- The code review benchmark: 50 pull requests, 158 known issues (release of 2026-09-24)
- discourse #10 (embeddable hosts), graded code review findings
- The security review benchmark: 13 pull requests, 18 known issues (release of 2026-09-24)
- The SOC 2 review benchmark: 20 pull requests, 15 known control gaps (release of 2026-09-24)
- The CI/CD benchmark: 18 pull requests, 13 known pipeline defects (release of 2026-09-20)
- The API performance review benchmark: 18 pull requests, 13 known issues (release of 2026-09-24)
- The log and error review benchmark: 17 pull requests, 31 known issues (release of 2026-09-24)
- The AI architecture review benchmark: 11 pull requests, 6 known issues (release of 2026-09-24)