R1 0528 is $29.5 cheaper per 1M input tokens (98.3% lower; 60x difference).
API cost decision in 10 seconds
R1 0528 vs GPT-5.5 Pro
Pick R1 0528 for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
Budget verdict
Pick R1 0528 for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.
On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $120 for GPT-5.5 Pro, saving $118.42 (98.7% lower).
GPT-5.5 Pro has more context, but R1 0528 saves $118.42 on the standard workload. At 10x that traffic, the same price gap is about $1184.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
R1 0528 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | R1 0528 | GPT-5.5 Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | R1 0528 | $3.58 | $240 |
| Balanced workload | 1M input + 1M output | R1 0528 | $2.65 | $210 |
| Output-heavy chatbot | 1M input + 5M output | R1 0528 | $11.25 | $930 |
R1 0528 is $177.85 cheaper per 1M output tokens (98.8% lower; 83.7x difference).
GPT-5.5 Pro has 886.16K more context (6.41x larger).
R1 0528 is $118.42 cheaper on the standard workload (98.7% lower).
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
R1 0528 has the lower input price; R1 0528 has the lower output price; GPT-5.5 Pro offers the larger context window. For the 1M input plus 500K output sample, R1 0528 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.57 for R1 0528 and $120 for GPT-5.5 Pro.
Choose R1 0528 when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.5 Pro when you care most about larger context window.
- On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $120 for GPT-5.5 Pro, saving $118.42 (98.7% lower).
- R1 0528 is $118.42 cheaper on the standard workload (98.7% lower).
- R1 0528 is $29.5 cheaper per 1M input tokens (98.3% lower; 60x difference).
- R1 0528 is $177.85 cheaper per 1M output tokens (98.8% lower; 83.7x difference).
- GPT-5.5 Pro has 886.16K more context (6.41x larger).
| Feature | R1 0528 (DeepSeek) | GPT-5.5 Pro (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.5 | $30 |
| Completion Price per 1M tokens | $2.15 | $180 |
| Sample Workload Cost 1M input + 500K output | $1.57 | $120 |
| Context Window | 163.84K | 1.05M |
| Release Date | ||
| Popularity | #106 | #122 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | R1 0528 | On the standard 1M input plus 500K output workload, R1 0528 is estimated at $1.57 vs $120 for GPT-5.5 Pro, saving $118.42 (98.7% lower). |
| High-volume input processing | R1 0528 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | R1 0528 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace R1 0528 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash can replace R1 0528 when lower sample workload cost matters most: $0.2.
- R1 Distill Qwen 32B can replace R1 0528 when lower sample workload cost matters most: $0.43.
- DeepSeek V3.2 can replace R1 0528 when lower sample workload cost matters most: $0.44.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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