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Kimi Latest 8k vs Llama V3 8b Instruct
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
Kimi Latest 8k
Context window
8K
8,192 tokens · ~6K 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.
Same context window size for both models.
Kimi Latest 8k and Llama V3 8b Instruct have identical context windows (8K tokens). Llama V3 8b Instruct is 0% cheaper on input.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Kimi Latest 8k | Llama V3 8b Instruct |
|---|---|---|
| Context window | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Max output tokens | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Speed tier | Balanced | Fast |
| Vision | Yes | No |
| Function calling | Yes | No |
| Extended thinking | No | No |
| Prompt caching | Yes | No |
| 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 | Kimi Latest 8k in | Kimi Latest 8k out | Llama V3 8b Instruct in | Llama V3 8b Instruct out |
|---|---|---|---|---|
| Fireworks | — | — | $0.200/M | $0.200/M |
| Moonshot | $0.200/M | $2.00/M | — | — |
Frequently asked questions
Powered by Mem0
Use a smaller model.
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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