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Methodology: Same Switcher Cohort Approach
Methodology: Same Switcher Cohort Approach GPT-5.5 Is Less Verbose, But Only for Longer Prompts Actual Cost Impact Methodology
We replicated the cost analysis we did on Opus on the new GPT-5.5 model. GPT-5.5 launched with a 2x price increase over GPT-5.4: input tokens increased from $2.50/M to $5.00/M and output tokens from $15/M to $30/M. OpenAI has also noted that the model is less verbose, producing shorter completions for the same tasks. Just as we did with Opus 4.7 we wanted to know what is the net impact on costs to users by analyzing usage that shifted from GPT-5.4 to GPT-5.5.
Methodology: Same Switcher Cohort Approach
GPT-5.5 Is Less Verbose, But Only for Longer Prompts
| Prompt Size | Median Completion (5.4) | Median Completion (5.5) | Change |
|---|---|---|---|
| < 2K tokens | 121 | 129 | +7% |
| 2K – 10K | 140 | 213 | +52% |
| 10K – 25K | 211 | 143 | -32% |
| 25K – 50K | 185 | 150 | -19% |
| 50K – 128K | 188 | 136 | -28% |
| 128K+ | 215 | 143 | -34% |
Actual Cost Impact
| Prompt Size | Avg $/M OR Tokens (5.4) | Avg $/M OR Tokens (5.5) | Change |
|---|---|---|---|
| < 2K tokens | $4.89 | $9.37 | +92% |
| 2K – 10K | $2.25 | $3.81 | +69% |
| 10K – 25K | $1.42 | $2.15 | +51% |
| 25K – 50K | $1.02 | $1.65 | +62% |
| 50K – 128K | $0.74 | $1.10 | +49% |
| 128K+ | $0.71 | $1.31 | +85% |
Methodology
- Source: OpenRouter’s request logs
- Cohort: Users whose top model by request count was GPT-5.4, who then switched to GPT-5.5 as their top model
- Sample size: Text-only, non-cancelled requests split across 5.4 and 5.5
- Windows: GPT-5.4: April 21-23, 2026 (pre-launch); GPT-5.5: April 25-28, 2026 (post-launch, launch day excluded)
- Normalization: Cost per million OpenRouter tokens, bucketed by prompt token count. OpenRouter counts tokens independently from OpenAI, providing a consistent baseline across model versions.
- Controls: Excluded media (images, files, audio, video), cancelled requests, and zero-token requests