Gemini 3.1 Pro vs Kimi K2.6
Google vs Moonshot — Kimi K2.6 is 53% cheaper on input and 67% cheaper on output, while Gemini 3.1 Pro offers 4x more context.
Pricing data verified: Jun 10, 2026
| Specification | Gemini 3.1 Pro | Kimi K2.6 |
|---|---|---|
| Input Price (per 1M tokens) | $2.00 | $0.95 |
| Output Price (per 1M tokens) | $12.00 | $4.00 |
| Context Window | 1M tokens | 256K tokens |
| Tier | Mid | Mid |
| Provider | Moonshot | |
| Input Savings | Baseline | 53% cheaper |
| Output Savings | Baseline | 67% cheaper |
| Cost at 1M input + 500K output | $8.00 | $2.95 |
Calculate Your Exact Costs
Enter your usage to see a precise cost comparison for both models.
Which Model for Which Use Case?
Cost-Sensitive Workloads
Kimi K2.6 is 53-67% cheaper across the board. At $0.95/M input vs $2.00/M, it's a strong value for high-volume applications where cost per token matters.
Long-Context Processing
Gemini 3.1 Pro's 1M context window is 4x larger than Kimi K2.6's 256K. For processing lengthy documents or maintaining large conversation histories, Gemini gives you significantly more room.
Google Cloud Integration
Gemini 3.1 Pro integrates seamlessly with Google Cloud services — Vertex AI, BigQuery ML, and the broader GCP ecosystem. If your infrastructure is on Google Cloud, Gemini offers the smoothest path.
Budget at Scale
For high-volume workloads that fit within 256K context, Kimi K2.6 delivers substantial cost savings. At scale, the 53-67% price difference translates to significant monthly budget reductions.
Need deeper cost analysis?
APIpulse Pro lets you compare all 39 models, save scenarios, and export PDF reports.
Frequently Asked Questions
Is Kimi K2.6 cheaper than Gemini 3.1 Pro?
Yes. Kimi K2.6 costs $0.95/M input and $4.00/M output. Gemini 3.1 Pro costs $2.00/M input and $12.00/M output. Kimi is 53% cheaper on input and 67% cheaper on output. For a typical workload of 1M input + 500K output tokens/month, Kimi costs $2.95 vs Gemini's $8.00 — saving $5.05/month (63%).
Which has a larger context window, Gemini 3.1 Pro or Kimi K2.6?
Gemini 3.1 Pro has a 1M token context window, which is 4x larger than Kimi K2.6's 256K context. If you need to process long documents or maintain extensive conversation histories, Gemini offers significantly more room. For typical workloads under 256K tokens, both models are equally capable.
When should I choose Kimi K2.6 over Gemini 3.1 Pro?
Choose Kimi K2.6 when: (1) cost efficiency matters (53-67% cheaper), (2) your workload fits within 256K context, (3) you want significant cost savings at scale. Choose Gemini 3.1 Pro when: (1) you need up to 1M context, (2) you want Google Cloud integration and ecosystem, (3) you need broader multimodal capabilities.
Are Gemini 3.1 Pro and Kimi K2.6 good for production use?
Both are production-ready. Gemini 3.1 Pro is Google's flagship model with a 1M context window and deep integration with Google Cloud. Kimi K2.6 from Moonshot offers strong value at 53-67% lower cost. Both have enterprise-grade reliability and support production workloads.