Compare
Llama 3 8B Lunaris vs Seed-2.0-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.
Model
Seed-2.0-Mini
Context window
262K
262,144 tokens · ~197K 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.
Seed-2.0-Mini has about 32× the context window of the other in this pair.
Seed-2.0-Mini has 3100% more context capacity (262K vs 8K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Seed-2.0-Mini. Its 262K context fits entire documents without chunking (vs 8K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Llama 3 8B Lunaris | Seed-2.0-Mini |
|---|---|---|
| Context window | 8,192 tokens (8K) | 262,144 tokens (262K) |
| Max output tokens | N/A | 131,072 tokens (131K) |
| Speed tier | Fast | Fast |
| Vision | No | Yes |
| Function calling | No | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | Aug 2024 | Feb 2026 |
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