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DeepSeek V4 Flash 0731 vs Gemini Robotics Er 2 Streaming Preview
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 V4 Flash 0731
Context window
1.0M
1,048,576 tokens · ~786K words
Model
Gemini Robotics Er 2 Streaming Preview
Context window
131K
131,072 tokens · ~98K 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 V4 Flash 0731 has about 8× the context window of the other in this pair.
DeepSeek V4 Flash 0731 has 700% more context capacity (1048K vs 131K tokens). DeepSeek V4 Flash 0731 is 92% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use DeepSeek V4 Flash 0731. Its 1048K context fits entire documents without chunking (vs 131K).
RAG / high-volume retrieval
Use DeepSeek V4 Flash 0731. Input tokens are 92% cheaper — critical when sending large retrieved contexts.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | DeepSeek V4 Flash 0731 | Gemini Robotics Er 2 Streaming Preview |
|---|---|---|
| Context window | 1,048,576 tokens (1048K) | 131,072 tokens (131K) |
| Max output tokens | 384,000 tokens (384K) | N/A |
| Speed tier | Fast | Fast |
| Vision | No | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | Jul 2026 | 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 V4 Flash 0731 in | DeepSeek V4 Flash 0731 out | Gemini Robotics Er 2 Streaming Preview in | Gemini Robotics Er 2 Streaming Preview out |
|---|---|---|---|---|
| Alibaba Cloud | $0.200/M | $0.400/M | — | — |
| Azure | $0.440/M | $1.32/M | — | — |
| Baseten | $0.130/M | $0.260/M | — | — |
| Deepinfra | $0.080/M | $0.180/M | — | — |
| Fireworks | $0.220/M | $0.660/M | — | — |
| — | — | $1.00/M | $5.00/M | |
| Nebius | $0.140/M | $0.280/M | — | — |
| Novita | $0.440/M | $1.32/M | — | — |
| Openrouter | $0.018/M | $0.320/M | — | — |
| Together Ai | $0.140/M | $0.280/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