kimi-k2.7-code
Open-weight model built for end-to-end coding and multi-step agent workflows.
Value rank
#15 of 18
intelligence per dollar in our catalogue
Context rank
#2 tied
256K token window
Agentic strength
67%
Terminal-Bench v2.1 task completion
Benchmarks
Independent scores by Artificial Analysis, compared with the strongest models in our catalogue.
Intelligence index
Coding index
Agentic (Terminal-Bench v2.1)
Long context
Best for
Where this model earns its keep.
The numbers
Pricing is live from our platform. Prices per 1M tokens, zero data retention on every request.
| Input price | $1.25 |
| Cache read price | $0.31 |
| Output price | $4.50 |
| Context window | 256K tokens |
| Intelligence / coding index | 26.3 / 60.8 |
| Agentic: Terminal-Bench v2.1 / tau2 | 67% / 90% |
| Long-context reasoning | 79% |
| GPQA / MMLU-Pro | 90% / - |
Or consider
Close alternatives in the catalogue.
glm-5.1
Intelligence 26.4 · agentic 62%
glm-5-turbo
Intelligence 26.6 · agentic -
kimi-k2.6
Intelligence 27.5 · agentic 66%
Quick start
OpenAI-compatible. Switch in one line.
client = OpenAI(base_url="https://api.tensorx.ai/v1", api_key="tsx-...")
r = client.chat.completions.create(
model="moonshotai/kimi-k2.7-code",
messages=[{"role": "user", "content": "Hello"}],
)
Benchmark data from the Artificial Analysis Intelligence Index, measured independently. Pricing live from the TensorX platform. All inference on EU-sovereign infrastructure with zero data retention.