Compare
Deepseek Prover V2 671b vs Openai Gpt 4o Mini
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.
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 Prover V2 671b has about 1.3× the context window of the other in this pair.
Deepseek Prover V2 671b has 25% more context capacity (160K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Deepseek Prover V2 671b. Its 160K context fits entire documents without chunking (vs 128K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Deepseek Prover V2 671b | Openai Gpt 4o Mini |
|---|---|---|
| Context window | 160,000 tokens (160K) | 128,000 tokens (128K) |
| Max output tokens | 160,000 tokens (160K) | N/A |
| Speed tier | Fast | Fast |
| Vision | No | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | Yes |
| 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 Prover V2 671b in | Deepseek Prover V2 671b out | Openai Gpt 4o Mini in | Openai Gpt 4o Mini out |
|---|---|---|---|---|
| Gradient | — | — | — | — |
| Novita | $0.700/M | $2.50/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