GPT-5.5 vs GPT-5.6: API evaluation
Compare the available GPT-5.5 and GPT-5.6 identifiers on InferGate using task correctness, completion, latency and actual usage cost.
The current choice is between gpt-5.5, gpt-5.6-sol and gpt-5.6-terra. A family label alone does not specify a variant.
Build a fair comparison
- Select representative tasks and define pass criteria before seeing outputs.
- Keep prompts and output limits comparable across models.
- Record actual returned identity, complete status and non-empty text.
- Measure latency and billed usage across multiple requests, not a single best result.
- Inspect failure modes separately from successful outputs.
What this page can establish
All three IDs passed the current catalog acceptance in both modes. That establishes basic callability, not a ranking in coding, reasoning, speed or price. Choose from your workload evidence.
Prepaid usage and costs
API usage consumes available account credit. Review current input and output rates in application pricing before running a workload. This page does not promise free requests or a fixed discount. See how prepaid pricing works and compare actual usage logs after a small test.
Evaluation worksheet
| Measure | How to collect it | Interpretation |
|---|---|---|
| Task correctness | Score outputs against a fixed rubric | Prefer repeatable task success over a single impressive answer |
| Completion | Record status and useful text | Count incomplete responses separately |
| Latency | Record first-text and completion times | Use a distribution, not one fastest sample |
| Cost | Reconcile completed requests with usage records | Compare cost per successful task |
Runnable integration example
curl --fail-with-body https://api.useinfergate.com/v1/responses \
-H "Authorization: Bearer $INFERGATE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gpt-5.5","input":"Return a short release note for an API client update.","max_output_tokens":256}'Frequently asked questions
Which model should I choose?
Choose from your task results, current account access and observed cost. The page provides a test method, not unsupported performance rankings.
Can I compare models using only one prompt?
One request is useful for checking connectivity and identity. It is insufficient for a quality or latency ranking. Include representative tasks and repeated runs.
Should I use identical settings?
Keep inputs and output budgets comparable, and record any settings that differ. Do not force optional parameters onto a model before confirming support.
Continue your integration
Review prepaid pricing · Read API documentation · Get Started