GPT-5.5 vs Kimi K2.6

OpenAI vs Moonshot — Kimi K2.6 is 81% cheaper on input and 87% cheaper on output, while GPT-5.5 offers 4.1x more context.

Pricing data verified: Jun 10, 2026

SpecificationGPT-5.5Kimi K2.6
Input Price (per 1M tokens)$5.00$0.95
Output Price (per 1M tokens)$30.00$4.00
Context Window1.05M tokens256K tokens
TierFlagshipMid
ProviderOpenAIMoonshot
Input SavingsBaseline81% cheaper
Output SavingsBaseline87% cheaper
Cost at 1M input + 500K output$20.00$2.95

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OpenAI
GPT-5.5
$0.00
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Moonshot
Kimi K2.6
$0.00
per month
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Output cost
Cost per request
Requests/month

Which Model for Which Use Case?

Cost-Sensitive Workloads

Kimi K2.6 is 81-87% cheaper across the board — ideal for high-volume applications where cost per token matters. At $0.95/M input, it's a fraction of GPT-5.5's $5.00/M.

Best value: Kimi K2.6 (81-87% cheaper)

Long-Context Processing

GPT-5.5's 1.05M context window is 4.1x larger than Kimi K2.6's 256K. For processing lengthy documents, maintaining large conversation histories, or handling complex RAG pipelines, GPT-5.5 gives you significantly more room.

Long context: GPT-5.5 (4.1x more context)

Global Availability

GPT-5.5 benefits from OpenAI's global infrastructure with availability across all regions. If your application requires worldwide access with low latency, GPT-5.5's broader deployment is an advantage.

Global reach: GPT-5.5 | Budget: Kimi K2.6

Integration Ecosystem

GPT-5.5 integrates with OpenAI's extensive ecosystem — plugins, function calling, and a wide range of third-party tools. If your stack is built on OpenAI's platform, GPT-5.5 offers the smoothest integration path.

Ecosystem: GPT-5.5 | Cost at scale: Kimi K2.6

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Frequently Asked Questions

Is Kimi K2.6 cheaper than GPT-5.5?

Yes. Kimi K2.6 costs $0.95/M input and $4.00/M output. GPT-5.5 costs $5.00/M input and $30.00/M output. Kimi is 81% cheaper on input and 87% cheaper on output. For a typical workload of 1M input + 500K output tokens/month, Kimi costs $2.95 vs GPT-5.5's $20.00 — saving $17.05/month (85%).

Which has a larger context window, GPT-5.5 or Kimi K2.6?

GPT-5.5 has a 1.05M token context window, which is 4.1x larger than Kimi K2.6's 256K context. If you need to process long documents or maintain extensive conversation histories, GPT-5.5 offers significantly more room. For typical workloads under 256K tokens, both models are equally capable.

When should I choose GPT-5.5 over Kimi K2.6?

Choose GPT-5.5 when: (1) you need OpenAI's ecosystem and integrations, (2) your workload requires more than 256K context, (3) you need broader global availability. Choose Kimi K2.6 when: (1) cost efficiency matters (81-87% cheaper), (2) your workload fits within 256K context, (3) you want significant cost savings at scale.

Are GPT-5.5 and Kimi K2.6 good for production use?

Both are production-ready. GPT-5.5 is OpenAI's latest flagship, offering a massive 1.05M context window and global availability. Kimi K2.6 from Moonshot is a strong value proposition at 81-87% lower cost. Both have enterprise-grade reliability and support production workloads.

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