On April 24, OpenAI officially launched GPT-5.5 on its API and Playground, marking the full rollout of this next-generation flagship model first released on April 23. Pricing stands at $5/MTok for input and $30/MTok for output—a direct doubling from GPT-5.4—but OpenAI emphasizes significant improvements in token efficiency and task completion rates, potentially lowering actual comprehensive costs.
Pricing and Specifications
GPT-5.5 API offers multiple inference tiers:
| Tier | Input Price | Output Price | Features |
|---|---|---|---|
| medium | $2.5/MTok | $15/MTok | Low latency, everyday tasks |
| high | $5/MTok | $30/MTok | Default tier, balanced intelligence and speed |
| xhigh | Higher | Higher | Most complex tasks |
Notably, GPT-5.5 was pushed to all paid ChatGPT users on April 23, with the API following just one day later—a noticeably faster rollout than previous version cycles.
Token Efficiency is the Key Variable
OpenAI repeatedly highlighted that GPT-5.5 is “very token efficient,” meaning the same tasks may require significantly fewer tokens. If actual token consumption decreases by 30%-50%, even with doubled unit prices, the comprehensive cost may actually decrease.
This approach mirrors Anthropic’s Claude series—initial compute overhead is high at launch, with gradual optimization reducing actual costs over time.
Artificial Analysis Benchmarks
Independent evaluator Artificial Analysis released cost data from its Index on April 25:
- GPT-5.5 (xhigh): $3,357
- GPT-5.5 (high): $2,159
- GPT-5.5 (medium): $1,199
- GPT-5.4 (xhigh): $2,851
- Claude Opus 4.7: $4,811
At the high tier, GPT-5.5’s evaluation cost is about 18% higher than GPT-5.4, but significantly below Claude Opus 4.7. Considering token efficiency, the GPT-5.5 (medium) tier may offer comparable cost performance to GPT-5.4 in actual business scenarios.
Recommendations for Developers
For developers currently using GPT-5.4:
- Run benchmarks first: Test actual workloads on both medium and high tiers to measure token consumption and output quality before upgrading
- Consider the fine-tuning route: If GPT-5.5’s medium tier is sufficient, it may be more cost-effective than GPT-5.4’s high tier
- Don’t rush full migration: New models may have instability in early days—test on non-critical paths first
GPT-5.5 is positioned for “real work and powering agents”—it’s not purely a benchmark-chasing model, but designed for complex workflows and Agent scenarios. For use cases requiring high task completion rates, the upgrade is well justified.