Kimi K2.6
Kimi K2.6 is a chat-oriented large language model from Kimi, continuing the company's K2 line of general-purpose assistant models.
API Pricing
Cheapest on Deep Infra — 18% below avg| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $0.750 | $3.50 | $0.150 | |
| $0.767 | $3.43 | $0.384 | |
| $0.800 | $3.40 | $0.160 | |
| $0.950 | $4.00 | - | |
| $0.950 | $4.00 | $0.190 | |
| $0.950 | $4.00 | $0.160 | |
| $1.20 | $4.50 | - |
Prices updated daily. Last check: Sep 3, 2026
Kimi K2.6 pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Reasoning & Knowledge
- GPQA Diamond91.1%
- Humanity's Last Exam37.5%
Coding
- SciCode53.5%
Agentic & Tool Use
- Terminal-Bench Hard43.9%
- Terminal-Bench v2.165.9%
- τ²-bench95.9%
- τ-bench Banking23.3%
Instruction & Long Context
- IFBench76.0%
- Long-Context Reasoning76.7%
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- Kimi
- Modalities
- Text
Capabilities
- Tool Calling
- No
- Open Source
- No
Strengths & Limitations
Strengths
- Chat-tuned model suitable for multi-turn dialogue and instruction-following workloads without additional fine-tuning
- Part of Kimi's K2 line, so prompt patterns and integration work carry over from earlier K2 models
- Available through inference API providers, allowing per-token consumption rather than dedicated GPU provisioning
- Exposed via standard chat-completions style endpoints on the providers we track, easing drop-in evaluation against incumbent models
- Point-release iteration on K2, aimed at incremental improvement over the prior version rather than a workflow-breaking redesign
- Multiple hosting options mean pricing and latency can be compared across providers in the table above
Limitations
- We do not currently have a verified context window figure for Kimi K2.6 in our database
- Throughput and time-to-first-token benchmarks are not yet populated for this entry, so speed cannot be compared numerically here
- Published benchmark scores for this specific point release are not tracked in our catalog
- Modality support beyond text is not confirmed in our data — verify with the provider before planning image or audio workloads
- Provider coverage for newer point releases is typically narrower than for established models, which can limit region and rate-limit options
Key Features
About Kimi K2.6
Common Use Cases
Kimi K2.6 fits general assistant workloads: conversational interfaces, customer-facing chat, document drafting and rewriting, summarization, question answering over supplied text, and everyday coding assistance such as explaining code or generating small functions. As a chat model rather than a specialized embedding, reranking, or reasoning-trace model, it is best matched to workloads where a natural-language response is the deliverable. Teams already running the earlier K2 generation are the most direct audience, since prompts and tooling generally transfer to a point release. For workloads with hard requirements on context length, structured output, or tool calling, confirm those capabilities against the specific provider's documentation first, since our metadata does not yet record them for this release.
Frequently Asked Questions
How much does Kimi K2.6 cost to run?
Pricing depends on which inference provider serves the model and on the pricing type — input tokens, output tokens, and any cached or batch rates are usually billed separately. Rates change frequently and differ between hosts, so check the pricing table on this page for the current per-provider figures we track.
What is Kimi K2.6 best used for?
It is a chat model, so it suits conversational assistants, drafting and summarization, question answering, and general coding help — workloads where the output is natural-language text produced from a prompt and conversation history.
Who created Kimi K2.6?
It comes from Kimi and belongs to the company's K2 model line, as an iteration on the earlier K2 release.
What is Kimi K2.6's context window?
Our database does not currently carry a verified context window figure for this model. Because serving limits can also vary by provider, check the documentation of the endpoint you plan to use for the maximum context it accepts.
How does Kimi K2.6 compare to other chat models on speed?
We track output tokens per second and time to first token from Artificial Analysis, but those values are not yet populated for Kimi K2.6. Until they are, latency and throughput are best measured directly against your own prompts on the provider you choose.