Grok-3 vs Kimi K2-Thinking-0905: Specs & Benchmark Comparison
| Characteristic | Grok-3 | Kimi K2-Thinking-0905 |
|---|---|---|
| Company | xAI | Moonshot AI |
| Release Date | February 16, 2025 | September 4, 2025 |
| Parameters | — | 1.0T |
| Multimodal | Yes | No |
| Context (input) | 128K | 262K |
| Context (output) | 8K | 66K |
| Input Price / 1M | $3.00 | $0.60 |
| Output Price / 1M | $15.00 | $2.40 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| GPQA | 0.8 | 0.8 |
Visual Benchmark Comparison
Grok-3
Kimi K2-Thinking-0905
GPQA0.8 vs 0.8
0.8
0.8
Verdict
Kimi K2-Thinking-0905 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Grok-3 — 0.8, Kimi K2-Thinking-0905 — 0.9.
API Cost
Kimi K2-Thinking-0905 is 6.0x cheaper: input $0.60/1M vs $3.00/1M 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 2/16/2025.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — Grok-3 or Kimi K2-Thinking-0905?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Grok-3 or Kimi K2-Thinking-0905?
Kimi K2-Thinking-0905 is cheaper for input: $0.60 per 1M tokens vs $3.00.
Which has a larger context window — Grok-3 or Kimi K2-Thinking-0905?
Kimi K2-Thinking-0905 supports a larger context: 262,144 tokens vs 128,000.
The Grok-3 and Kimi K2-Thinking-0905 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Grok-3 or Kimi K2-Thinking-0905 page. See also the complete list of AI model comparisons.