Kimi K2-Thinking-0905 vs Llama 3.3 70B Instruct: Specs & Benchmark Comparison
| Characteristic | Kimi K2-Thinking-0905 | Llama 3.3 70B Instruct |
|---|---|---|
| Company | Moonshot AI | Meta |
| Release Date | September 4, 2025 | December 6, 2024 |
| Parameters | 1.0T | 70B |
| Multimodal | No | No |
| Context (input) | 262K | 128K |
| Context (output) | 66K | 128K |
| Input Price / 1M | $0.60 | $0.88 |
| Output Price / 1M | $2.40 | $0.88 |
| Average Score | 0.9 | 0.8 |
| Benchmarks | ||
| GPQA | 0.8 | 0.5 |
| MMLU-Pro | 0.8 | 0.7 |
Visual Benchmark Comparison
Kimi K2-Thinking-0905
Llama 3.3 70B Instruct
GPQA0.8 vs 0.5
0.8
0.5
MMLU-Pro0.8 vs 0.7
0.8
0.7
Verdict
Kimi K2-Thinking-0905 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2-Thinking-0905 — 0.9, Llama 3.3 70B Instruct — 0.8.
API Cost
Llama 3.3 70B Instruct is 1.7x cheaper: input $0.88/1M vs $0.60/1M tokens.
Context Window
Kimi K2-Thinking-0905 supports a larger context: 262K vs 128K tokens.
Recency
Kimi K2-Thinking-0905 is newer: released 9/4/2025 vs 12/6/2024.
More About These Models
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Frequently Asked Questions
Which is better for coding — Kimi K2-Thinking-0905 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-Thinking-0905 or Llama 3.3 70B Instruct?
Kimi K2-Thinking-0905 is cheaper for input: $0.60 per 1M tokens vs $0.88.
Which has a larger context window — Kimi K2-Thinking-0905 or Llama 3.3 70B Instruct?
Kimi K2-Thinking-0905 supports a larger context: 262,144 tokens vs 128,000.
The Kimi K2-Thinking-0905 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-Thinking-0905 or Llama 3.3 70B Instruct page. See also the complete list of AI model comparisons.