Both models report the same input price at $5 per 1M tokens.
API cost decision in 10 seconds
🔥GPT-5.5 vs OpenAI GPT Latest
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Budget verdict
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Both models are estimated at $20 for the standard 1M input plus 500K output workload.
Context-window winner: Both models. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.
Cost sensitivity
Workload Sensitivity
The two models stay tied across the input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.5 | OpenAI GPT Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Tie | $40 | $40 |
| Balanced workload | 1M input + 1M output | Tie | $35 | $35 |
| Output-heavy chatbot | 1M input + 5M output | Tie | $155 | $155 |
Both models report the same output price at $30 per 1M tokens.
Both models report the same context window at 1.05M tokens.
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $20.
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
both models tie on input price; both models tie on output price; both models report the same context window. For the 1M input plus 500K output sample, the standard workload cost is tied.
For a 1M input token plus 500K output token workload, the estimated API cost is $20 for GPT-5.5 and $20 for OpenAI GPT Latest.
Choose GPT-5.5 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose OpenAI GPT Latest when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- Both models are estimated at $20 for the standard 1M input plus 500K output workload.
- Both models have the same estimated cost for the standard 1M input plus 500K output workload: $20.
- Both models report the same input price at $5 per 1M tokens.
- Both models report the same output price at $30 per 1M tokens.
- Both models report the same context window at 1.05M tokens.
| Feature | 🔥GPT-5.5 (OpenAI) | OpenAI GPT Latest (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $5 | $5 |
| Completion Price per 1M tokens | $30 | $30 |
| Sample Workload Cost 1M input + 500K output | $20 | $20 |
| Context Window | 1.05M | 1.05M |
| Release Date | ||
| Popularity | #17 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Tie | Both models are estimated at $20 for the standard 1M input plus 500K output workload. |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Tie | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.5 when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.5 when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.5 when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.5 when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
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- Claude Opus 4.7 · Anthropic · #3
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Cheaper alternatives
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Open OpenAI modelsGPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
This model always redirects to the latest model in the OpenAI GPT family.