Kimi K2.7 Code vs GPT-5.5 pricing
Kimi K2.7 Code is substantially cheaper per token, but lower price is not proof of equal coding quality. Prices and source records checked .
The short answer
At the tracked hosted rate, Kimi K2.7 Code costs $0.95 input, $0.19 cached input, and $4.00 output per 1M tokens. GPT-5.5 costs $5.00, $0.50, and $30.00. In the three coding-agent workload shapes below, the GPT-5.5 bill is 6.3× to 7.4× the Kimi bill.
API price per 1 million tokens
| Model | Input | Cached input | Output | Context |
|---|---|---|---|---|
| Kimi K2.7 Code | $0.95 | $0.19 | $4.00 | 262,144 |
| GPT-5.5 | $5.00 | $0.50 | $30.00 | 1.05M |
Kimi pricing uses the Novita-hosted canonical route. GPT-5.5 prices are standard short-context rates; OpenAI charges more when input exceeds 272K tokens. Kimi's official model card reports a 256K context window, while OpenAI reports 1.05M for GPT-5.5.
Coding-agent workload cost table
These are deterministic token-cost examples, not measured end-to-end job costs. Real bills also depend on retries, reasoning tokens, tool loops, and cache hit rate.
| Workload | Kimi K2.7 Code | GPT-5.5 | Kimi saving |
|---|---|---|---|
| Uncached coding session 1M input + 0.2M output | $1.75 | $11.00 | 84% |
| Cached-prefix session 0.2M fresh + 0.8M cached + 0.2M output | $1.14 | $7.40 | 85% |
| Output-heavy agent run 0.25M input + 1M output | $4.24 | $31.25 | 86% |
Benchmark caveat: cheaper does not mean GPT-5.5-level
The viral three-prompt canvas physics test is anecdotal, not a reproducible benchmark. Moonshot's own Kimi K2.7 Code model card shows GPT-5.5 ahead on all six published coding and agentic comparisons: Kimi Code Bench v2, Program Bench, MLS-Bench Lite, Kimi Claw 24/7 Bench, MCP Atlas, and MCPMark Verified. Several are vendor-created benchmarks and the models ran through different agent harnesses, so the table is useful evidence—not a universal quality ranking.
Example: Moonshot reports 62.0 for Kimi versus 69.0 for GPT-5.5 on Kimi Code Bench v2, and 81.1 versus 92.9 on MCPMark Verified.
Which model is the better buy?
Choose Kimi K2.7 Code when token budget is the constraint and your own repository-level evaluation says its pass rate is good enough. Choose GPT-5.5 when the expected value of higher task completion outweighs a much larger token bill, or when you need more than 256K context. The correct comparison is cost per successful task, not cost per token alone.
For broader decisions, compare all OpenAI API prices, scan the cheapest AI API ranking, run your workload through the token cost calculator, or use the model comparison calculator.
Sources and freshness
- Novita pricing — hosted Kimi K2.7 Code token rates.
- Moonshot AI's Kimi K2.7 Code model card — context and benchmark table.
- OpenAI GPT-5.5 model page — token rates, context, and long-context uplift.
Price cells are read at build time from the daily-maintained canonical pricing dataset. Last canonical update: .