gpt-5.6-luna
gpt-5.6-luna · high, showing backend engineering. Results for all tested efforts are available below.
Backend engineering49
gpt-5.6-luna · high
- Backend engineering
- 49
- Frontend interaction
- 52
- Knowledge & Reasoning
- 15
- Visual aesthetics
- 55
- Maintainability
- 46
- Evaluation time
- 18m 52s
- Reference cost
- $0.061
Backend engineering · Evaluation time & API cost
Backend tested · 9/21/2026Tasks & methodology
Results by reasoning effort
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| Model / effort | Overall | Backend engineering | Frontend interaction | Knowledge & Reasoning | Visual aesthetics | Maintainability | Total eval. time | Total ref. cost | Compare |
|---|---|---|---|---|---|---|---|---|---|
| — | 32 | 18 | 5 | — | — | 52m 31s | $0.067 | ||
| — | 51 | 13 | 25 | — | — | 18m 22s | $0.084 | ||
| 38.30 | 49 | 52 | 15 | 55 | 46 | 32m 18s | $0.14 | ||
| 52.35 | 56 | 83 | 25 | 66 | 59 | 75m 23s | $0.16 | ||
| 52.30 | 65 | 78 | 25 | 59 | 61 | 86m 14s | $0.35 |
Score breakdown
- Overall score
- 38.30
- Evaluation time
- 32m 18s
- Reference cost
- $0.14
Service logic, error handling, and test verification.
Contracts and boundaries0 / 20
API contracts, input validation, and boundary behavior.
Retries and failures12 / 20
Error recovery, retry conditions, and failure handling.
CI and adversarial review9 / 20
Verification plans, risk detection, and audit evidence.
Transactions and consistency14 / 20
State transitions, concurrency control, and data consistency.
Caching and regression14 / 20
Cache invalidation, data updates, and regression coverage.
What changes with higher reasoning effort
Compare backend engineering scores, cost, and time across neighboring tested efforts.
medium high
- Backend engineering
- −2.0 pts 51.00 → 49.00
- Reference cost
- +$0.026 $0.035 → $0.061
- Evaluation time
- +72.8% 10m 55s → 18m 52s
Data snapshot published · 10/27/2026Scoring & cost notes