Compare
Deepseek R1 0528 Maas vs Gpt Realtime
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
Deepseek R1 0528 Maas
Context window
65K
65,336 tokens · ~49K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Deepseek R1 0528 Maas has about 2× the context window of the other in this pair.
Deepseek R1 0528 Maas has 104% more context capacity (65K vs 32K tokens). Deepseek R1 0528 Maas is 66% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Deepseek R1 0528 Maas. Its 65K context fits entire documents without chunking (vs 32K).
RAG / high-volume retrieval
Use Deepseek R1 0528 Maas. Input tokens are 66% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Deepseek R1 0528 Maas. Its 8K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Deepseek R1 0528 Maas | Gpt Realtime |
|---|---|---|
| Context window | 65,336 tokens (65K) | 32,000 tokens (32K) |
| Max output tokens | 8,192 tokens (8K) | 4,096 tokens (4K) |
| Speed tier | Deep | Balanced |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | No |
| Prompt caching | No | Yes |
| Batch API | No | No |
| Release date | N/A | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Deepseek R1 0528 Maas in | Deepseek R1 0528 Maas out | Gpt Realtime in | Gpt Realtime out |
|---|---|---|---|---|
| Google Vertex | $1.35/M | $5.40/M | — | — |
| Openai | — | — | $4.00/M | $16.00/M |
Frequently asked questions
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model