Meta-Llama-3-70B-Instruct vs Kimi K2.7 Code
Kimi K2.7 Code is cheaper on output tokens, while Kimi K2.7 Code offers a larger context window. Choose Meta-Llama-3-70B-Instruct or Kimi K2.7 Code based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Meta-Llama-3-70B-Instruct | Kimi K2.7 Code |
|---|---|---|
| Provider | Azure | MoonshotAI |
| Input / 1M tokens | $2.68 | $0.67 |
| Output / 1M tokens | $3.54 | $3.35 |
| Context window | 8K | 262K |
| Parameters | — | — |
| Open weights | Yes | Yes |
| Released | Apr 2024 | Jun 2026 |
| GPQA Diamond score | 40.6 | 87.9 |
| LiveBench score | — | 68.4 |
| LMArena WebDev Elo score | — | 1473 |
| Epoch Capabilities Index score | — | 150 |
FAQ
Is Meta-Llama-3-70B-Instruct or Kimi K2.7 Code cheaper?
Kimi K2.7 Code is cheaper on output tokens ($3.35 vs $3.54 per 1M).
Which has the larger context window, Meta-Llama-3-70B-Instruct or Kimi K2.7 Code?
Kimi K2.7 Code has the larger context window (262K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.