Kimi K2.5 vs Llama 3.3 70B Instruct: Specs & Benchmark Comparison
| Characteristic | Kimi K2.5 | Llama 3.3 70B Instruct |
|---|---|---|
| Company | Moonshot AI | Meta |
| Release Date | January 26, 2026 | December 6, 2024 |
| Parameters | 1.0T | 70B |
| Multimodal | Yes | No |
| Context (input) | — | 128K |
| Context (output) | — | 128K |
| Input Price / 1M | — | $0.88 |
| Output Price / 1M | — | $0.88 |
| Average Score | 0.9 | 0.8 |
| Benchmarks | ||
| GPQA | 0.9 | 0.5 |
| MMLU-Pro | 0.9 | 0.7 |
Visual Benchmark Comparison
Kimi K2.5
Llama 3.3 70B Instruct
GPQA0.9 vs 0.5
0.9
0.5
MMLU-Pro0.9 vs 0.7
0.9
0.7
Verdict
Kimi K2.5 leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2.5 — 0.9, Llama 3.3 70B Instruct — 0.8.
Recency
Kimi K2.5 is newer: released 1/26/2026 vs 12/6/2024.
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Frequently Asked Questions
Which is better for coding — Kimi K2.5 or Llama 3.3 70B Instruct?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Kimi K2.5 or Llama 3.3 70B Instruct?
API pricing data is available on the individual model pages.
Which has a larger context window — Kimi K2.5 or Llama 3.3 70B Instruct?
Context window data is available on the individual model pages.
The Kimi K2.5 and Llama 3.3 70B Instruct comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Kimi K2.5 or Llama 3.3 70B Instruct page. See also the complete list of AI model comparisons.