Gemini 3.1 Pro vs Kimi K2 0905: Specs & Benchmark Comparison
| Characteristic | Gemini 3.1 Pro | Kimi K2 0905 |
|---|---|---|
| Company | Moonshot AI | |
| Release Date | February 19, 2026 | September 5, 2025 |
| Parameters | — | 1.0T |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 262K |
| Context (output) | 66K | 262K |
| Input Price / 1M | $2.50 | $0.60 |
| Output Price / 1M | $15.00 | $2.50 |
| Average Score | 0.8 | 0.8 |
| Benchmarks | ||
| GPQA | 0.9 | 0.8 |
Visual Benchmark Comparison
Gemini 3.1 Pro
Kimi K2 0905
GPQA0.9 vs 0.8
0.9
0.8
Verdict
Gemini 3.1 Pro leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3.1 Pro — 0.8, Kimi K2 0905 — 0.8.
API Cost
Kimi K2 0905 is 5.6x cheaper: input $0.60/1M vs $2.50/1M tokens.
Context Window
Gemini 3.1 Pro supports a larger context: 1M vs 262K tokens.
Recency
Gemini 3.1 Pro is newer: released 2/19/2026 vs 9/5/2025.
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Frequently Asked Questions
Which is better for coding — Gemini 3.1 Pro or Kimi K2 0905?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Gemini 3.1 Pro or Kimi K2 0905?
Kimi K2 0905 is cheaper for input: $0.60 per 1M tokens vs $2.50.
Which has a larger context window — Gemini 3.1 Pro or Kimi K2 0905?
Gemini 3.1 Pro supports a larger context: 1,048,576 tokens vs 262,144.
The Gemini 3.1 Pro and Kimi K2 0905 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3.1 Pro or Kimi K2 0905 page. See also the complete list of AI model comparisons.