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Kimi K2 Turbo Preview vs Llama 3.1 70B Hanami x1
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 K2 Turbo Preview
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.
Kimi K2 Turbo Preview has about 16.4× the context window of the other in this pair.
Kimi K2 Turbo Preview has 1538% more context capacity (262K vs 16K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Kimi K2 Turbo Preview. Its 262K context fits entire documents without chunking (vs 16K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Kimi K2 Turbo Preview | Llama 3.1 70B Hanami x1 |
|---|---|---|
| Context window | 262,144 tokens (262K) | 16,000 tokens (16K) |
| Max output tokens | 262,144 tokens (262K) | N/A |
| Speed tier | Balanced | Deep |
| Vision | No | No |
| Function calling | Yes | No |
| Extended thinking | No | No |
| Prompt caching | Yes | No |
| Batch API | No | No |
| Release date | N/A | Jan 2025 |
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 K2 Turbo Preview in | Kimi K2 Turbo Preview out | Llama 3.1 70B Hanami x1 in | Llama 3.1 70B Hanami x1 out |
|---|---|---|---|---|
| Moonshot | $1.15/M | $8.00/M | — | — |
Frequently asked questions
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Example: a multi-turn chat session
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