GPT-5.5 Pro vs Kimi K2.7-Code
GPT-5.5 Pro (2026) and Kimi K2.7-Code (2026) compare a standalone API model against a coding-specialized model. GPT-5.5 Pro ships a 1.05m-token context window, while Kimi K2.7-Code ships a 262k-token context window. On GeneBench-Pro, GPT-5.5 Pro leads by 18.2 pts. On pricing, Kimi K2.7-Code costs $0.61/1M input tokens versus $30/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: GPT-5.5 Pro is standalone API model, while Kimi K2.7-Code is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | GPT-5.5 Pro | Kimi K2.7-Code |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1.05m | 262k |
| Cheapest output | $180/1M tokens | $3.07/1M tokens |
| Provider routes | 3 tracked | 2 tracked |
| Shared benchmarks | GeneBench-Pro leader | 2 shared |
Decision tradeoffs
- GPT-5.5 Pro holds a shared-benchmark lead on GeneBench-Pro, ahead by 18.2 points.
- GPT-5.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.5 Pro has broader tracked provider coverage for fallback and route flexibility.
- GPT-5.5 Pro uniquely exposes Code execution in local model data.
- Local decision data tags GPT-5.5 Pro for Coding, RAG, and Agents.
- Kimi K2.7-Code holds a shared-benchmark lead on MCP-Atlas, ahead by 0.7 points.
- Kimi K2.7-Code has the lower cheapest tracked output price at $3.07/1M tokens.
- Local decision data tags Kimi K2.7-Code for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.5 Pro
$69,000
Cheapest tracked route/tier: OpenAI API <=272K tokens (standard)
Kimi K2.7-Code
$1,257
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $67,743. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Kimi K2.7-Code is $177/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-5.5 Pro is $177/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.5 Pro adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-23 | 2026-06-12 |
| Context window | 1.05m | 262k |
| Parameters | — | 1T |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | MITOSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| Pricing attribute | GPT-5.5 Pro | Kimi K2.7-Code |
|---|---|---|
| Input price | $30/1M tokens | $0.61/1M tokens |
| Output price | $180/1M tokens | $3.07/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.5 Pro | Kimi K2.7-Code |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GPT-5.5 Pro | Kimi K2.7-Code |
|---|---|---|
| GeneBench-Pro | 20.5 | 2.3 |
| MCP-Atlas | 75.3 | 76.0 |
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.