GPT-5.5 vs Kimi K2.6
GPT-5.5 (2026) and Kimi K2.6 (2026) are agentic coding models from OpenAI and Moonshot AI. GPT-5.5 ships a 1.05M-token context window, while Kimi K2.6 ships a 262K-token context window. On MMLU PRO, GPT-5.5 leads by 3.5 pts. On pricing, Kimi K2.6 costs $0.74/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Kimi K2.6 is ~571% cheaper at $0.74/1M; pay for GPT-5.5 only for coding workflow support.
Specs
| Released | 2026-04-23 | 2026-04-20 |
| Context window | 1.05M | 262K |
| Parameters | — | 1T (MoE, 32B active) |
| Architecture | decoder only | Mixture of Experts (MoE) |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| GPT-5.5 | Kimi K2.6 | |
|---|---|---|
| Input price | $5/1M tokens | $0.74/1M tokens |
| Output price | $30/1M tokens | $4.66/1M tokens |
| Providers |
Capabilities
| GPT-5.5 | Kimi K2.6 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | GPT-5.5 | Kimi K2.6 |
|---|---|---|
| MMLU PRO | 88.1 | 84.6 |
| SWE-bench Verified | 88.7 | 80.2 |
| Google-Proof Q&A | 93.6 | 90.5 |
| HumanEval | 94.2 | 92.0 |
| Chatbot Arena | 1488.0 | 1454.0 |
| Instruction-Following Evaluation | 92.1 | 89.8 |
| SWE-bench Pro | 58.6 | 58.6 |
Deep dive
On shared benchmark coverage, MMLU PRO has GPT-5.5 at 88.1 and Kimi K2.6 at 84.6, with GPT-5.5 ahead by 3.5 points; SWE-bench Verified has GPT-5.5 at 88.7 and Kimi K2.6 at 80.2, with GPT-5.5 ahead by 8.5 points; Google-Proof Q&A has GPT-5.5 at 93.6 and Kimi K2.6 at 90.5, with GPT-5.5 ahead by 3.1 points. The largest visible gap is 8.5 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on structured outputs: GPT-5.5 and code execution: GPT-5.5. Both models share vision, multimodal input, reasoning mode, and function calling, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, GPT-5.5 lists $5/1M input and $30/1M output tokens, while Kimi K2.6 lists $0.74/1M input and $4.66/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2.6 lower by about $10.58 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose GPT-5.5 when coding workflow support and larger context windows are central to the workload. Choose Kimi K2.6 when coding workflow support, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, GPT-5.5 or Kimi K2.6?
GPT-5.5 supports 1.05M tokens, while Kimi K2.6 supports 262K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, GPT-5.5 or Kimi K2.6?
Kimi K2.6 is cheaper on tracked token pricing. GPT-5.5 costs $5/1M input and $30/1M output tokens. Kimi K2.6 costs $0.74/1M input and $4.66/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-5.5 or Kimi K2.6 open source?
GPT-5.5 is listed under Proprietary. Kimi K2.6 is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, GPT-5.5 or Kimi K2.6?
Both GPT-5.5 and Kimi K2.6 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GPT-5.5 or Kimi K2.6?
Both GPT-5.5 and Kimi K2.6 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run GPT-5.5 and Kimi K2.6?
GPT-5.5 is available on OpenAI API. Kimi K2.6 is available on NVIDIA NIM, Moonshot AI Kimi, and Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.