--- title: "Kimi K2.6 vs DeepSeek V4 Flash" canonical: "https://router.xark.io/models/compare/kimi-k2-6-vs-deepseek-v4-flash" description: "Kimi K2.6 vs DeepSeek V4 Flash priced at 100M input and 20M output tokens a month, with both rate cards, the licences and which of the two is callable today." section: "model-comparisons" updated: "2026-09-02" source: "https://router.xark.io/models/compare/kimi-k2-6-vs-deepseek-v4-flash.md" --- # Kimi K2.6 vs DeepSeek V4 Flash DeepSeek V4 Flash costs less than Kimi K2.6 at every mix of input and output — $0.090/M against $0.55/M on input and $0.18/M against $2.30/M on output — so at 100M input and 20M output tokens a month it comes to $12.60 against $101.00, a difference of $88.40, and what Kimi K2.6 holds over it is context rather than price — 256K against 160K, 1.6× wider. **Availability:** 7 of the 24 catalogued models are callable today. The rest are listed at their intended rate but no configured upstream serves them, so a request naming one returns `no available channel`. Every table below marks which is which. ## Cost at 100M input and 20M output tokens a month | Model | Our cost | Official cost | Callable | | --- | --- | --- | --- | | Kimi K2.6 | $101.00 | $175.00 | Yes | | DeepSeek V4 Flash | $12.60 | $19.60 | Yes | ## Rates and specification | Field | Kimi K2.6 | DeepSeek V4 Flash | | --- | --- | --- | | Model id | `moonshotai/kimi-k2.6` | `deepseek/deepseek-v4-flash` | | Publisher | Moonshot AI | DeepSeek | | Input | $0.55/M | $0.090/M | | Output | $2.30/M | $0.18/M | | Cached input | $0.11/M | $0.018/M | | Capacity | 256K tokens | 160K tokens | | Licence | Modified MIT | MIT | | Released | Jul 18, 2026 | May 21, 2026 | | Callable today | Yes | Yes | ## Reasons to pick Kimi K2.6 - It holds 256K in one request against 160K — 1.6× wider, which decides whether a long input is one call or a map-reduce. - It is published by Moonshot AI under the Modified MIT licence, where DeepSeek V4 Flash is MIT. - The catalogue lists it for long-horizon coding tasks and multi-file refactors, agent workflows that chain dozens of tool calls and repo-scale code review and migration passes. ## Reasons to pick DeepSeek V4 Flash - Input costs $0.090/M against Kimi K2.6's $0.55/M, which decides the bill on input-heavy work — long documents in, short answers out. - Output costs $0.18/M against Kimi K2.6's $2.30/M, which is the whole bill on generation-heavy work where a short brief produces long copy. - Cached input is $0.018/M against Kimi K2.6's $0.11/M, and on an agent loop the repeated prefix is most of every request. - It is published by DeepSeek under the MIT licence, where Kimi K2.6 is Modified MIT. - The catalogue lists it for billion-token-scale batch jobs, summarisation and reranking and cheap first-pass filtering before an expensive model. ## Questions ### Which is cheaper, Kimi K2.6 or DeepSeek V4 Flash? DeepSeek V4 Flash, at 100M input and 20M output tokens a month: $12.60 against $101.00, a difference of $88.40 — 88% less. That holds at any ratio of input to output on this pairing, because DeepSeek V4 Flash has the lower rate on every column, not just the one the headline quotes. What the arithmetic does not tell you is whether both models do your job to the same standard; that is a measurement on your own prompts, not a number we can publish. ### Can I call both Kimi K2.6 and DeepSeek V4 Flash today? Yes — both. Requests naming `moonshotai/kimi-k2.6` or `deepseek/deepseek-v4-flash` reach a live upstream today and are billed at the rates above. 7 of the 24 models in this catalogue are callable right now; the rest are listed at their intended price and marked, so you find out here rather than from an error at call time. ### How much context does Kimi K2.6 hold compared with DeepSeek V4 Flash? Kimi K2.6 takes 262,144 tokens (256K) in a single request against DeepSeek V4 Flash's 163,840 (160K) — 1.6× wider. The window is a cost decision before it is a capability one: an input that does not fit has to be split, summarised in pieces and summarised again, which bills the source text more than once. Below that line the wider window is capacity you are not using. ### What licences are Kimi K2.6 and DeepSeek V4 Flash under? Kimi K2.6 is published by Moonshot AI under Modified MIT and DeepSeek V4 Flash by DeepSeek under MIT. Where one of those is a plain MIT or Apache 2.0 text and the other is a publisher's own or a modified variant, the difference is real and lives in the document rather than in the name — user thresholds, field-of-use terms and attribution requirements all appear in licences of that kind. Each model's own page carries the longer answer, and the licence text carries the binding one. ### How do I switch between Kimi K2.6 and DeepSeek V4 Flash? Change the model id and nothing else. Both are served from `https://router.xark.io/api/v1` behind the same OpenAI-compatible contract — `moonshotai/kimi-k2.6` and `deepseek/deepseek-v4-flash` — so the request shape, the streaming frames, the usage block and the error envelope are identical between them. Send an explicit id and no substitution happens underneath you, which is what makes running both and comparing the two on your own traffic a change of one string rather than a migration. ### How do these rates compare with the official ones? Both rows are published side by side rather than as a single discount claim. Kimi K2.6 is 42% below Moonshot AI's official rate and DeepSeek V4 Flash is 36% below DeepSeek's, which at 100M input and 20M output tokens a month is $101.00 against an official $175.00 for Kimi K2.6, and $12.60 against $19.60 for DeepSeek V4 Flash. The claim on this site is only that our rate sits below the model publisher's own — not that no one else is cheaper. Where a third-party provider undercuts us on either model, that provider's rate is printed on that model's own page. ## Full model pages - [Kimi K2.6](https://router.xark.io/models/kimi-k2-6.md) - [DeepSeek V4 Flash](https://router.xark.io/models/deepseek-v4-flash.md)