A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
GPT-5.5 leads on intelligence (43.5 vs 15.3) and context size (1.05M vs 400k tokens), suiting document-heavy multimodal workflows, while GPT-5 offers markedly higher speed (167 t/s vs 58.13) and lower price ($10 vs $30 per 1M). Both are proprietary OpenAI models with native file/image support, but GPT-5 is explicitly noted as hypothetical with unverified performance. GPT-5.5 wins on capability depth; GPT-5 wins on efficiency.
| Spec | GPT-5 | GPT-5.5 | Winner |
|---|---|---|---|
| Intelligence | 15.3 | 43.5 | GPT-5.5 |
| Output speed | 167 t/s | 58 t/s | GPT-5 |
| Output price | $10.00/1M | $30.00/1M | GPT-5 |
| Context | 400K | 1050K | GPT-5.5 |
| Params | — | — | Tie |
| Provider | OpenAI | OpenAI | Tie |
GPT-5.5 scores 43.5 on the intelligence index compared to GPT-5's 15.3. This gap favors GPT-5.5 for complex multimodal reasoning tasks. Both models share the same provider and proprietary status.
GPT-5 delivers 167 tokens per second versus GPT-5.5's 58.13 t/s. The speed advantage holds even though GPT-5 notes potential latency on large multimodal tasks. GPT-5.5's larger context may contribute to its slower rate.
GPT-5 costs $10 per 1M tokens while GPT-5.5 costs $30 per 1M. This makes GPT-5 the cheaper option for high-volume use. Both list identical output pricing structures.
GPT-5.5 provides a 1.05M-token context versus GPT-5's 400k tokens. The larger window supports document-heavy multimodal inputs. GPT-5.5 lists this as an explicit strength for file and image workflows.
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Select GPT-5.5 when maximum intelligence and context size matter most for verified multimodal document tasks. Select GPT-5 when speed and cost are priorities despite its hypothetical status. The choice hinges on whether capability depth or efficiency is the primary requirement.
GPT-5.5 is stronger on intelligence and context; GPT-5 is stronger on speed and price. Neither dominates all dimensions.