gpt-6.1-sol
gpt-6.1-sol · xhigh, showing backend engineering. Results for all tested efforts are available below.
gpt-6.1-sol · xhigh
- Backend engineering
- 90
- Frontend interaction
- 94
- Knowledge & Reasoning
- 85
- Visual aesthetics
- 66
- Maintainability
- 70
- Evaluation time
- 28m 44s
- Reference cost
- $0.73
Backend engineering · Evaluation time & API cost
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 |
|---|---|---|---|---|---|---|---|---|---|
| 83.90 | 84 | 94 | 85 | 75 | 73 | 24m 22s | $1.33 | ||
| 83.85 | 89 | 83 | 90 | 73 | 70 | 28m 54s | $1.41 | ||
| 84.65 | 91 | 96 | 85 | 70 | 70 | 42m 39s | $1.56 | ||
| 83.45 | 90 | 94 | 85 | 66 | 70 | 74m 41s | $1.62 | ||
| 86.60 | 95 | 96 | 90 | 66 | 70 | 62m 9s | $1.69 |
Score breakdown
- Overall score
- 83.45
- Evaluation time
- 74m 41s
- Reference cost
- $1.62
Service logic, error handling, and test verification.
API contracts, input validation, and boundary behavior.
Error recovery, retry conditions, and failure handling.
Verification plans, risk detection, and audit evidence.
State transitions, concurrency control, and data consistency.
Cache invalidation, data updates, and regression coverage.
What changes with higher reasoning effort
Compare backend engineering scores, cost, and time across neighboring tested efforts.
- Backend engineering
- −1.0 pts 91.00 → 90.00
- Reference cost
- +$0.074 $0.65 → $0.73
- Evaluation time
- +58.0% 18m 11s → 28m 44s
Model and effort comparisons
GPT-6.1 Sol vs Claude Opus 5.5
Compare each model at its highest-scoring tested overall effort. Start with the dimension relevant to your task, then weigh evaluation time and reference cost.
GPT-6.1 Sol vs GPT-6 Sol
Compare the two Sol generations at their highest-scoring tested overall efforts, and see how score deltas trade off against evaluation time and reference cost.