What is Kimi K2.7 Code HighSpeed?
Kimi K2.7 Code HighSpeed is Kimi K2.7 Code served on a faster route, and the official calling guide says so in one sentence rather than implying it. The identifier kimi-k2.7-code-highspeed names the same model as kimi-k2.7-code, with output speed around five to six times the standard variant. Two figures are given rather than one range: about 180 tokens per second on coding work with median-length inputs, and up to 260 tokens per second when the context is short. The context window is the same 256K the standard variant carries, which the pricing page prints as 262,144 tokens, so how much the model can hold does not change with the route. What changes is how fast it hands text back, and what that costs: the pricing page lists the high-speed row at exactly twice the standard row on all three rates. The calling guide also attaches a capacity caveat in the vendor own words, that resources are currently limited and the high-speed experience may fluctuate while capacity is added. Against the previous generation the vendor reports three coding deltas and one agentic figure: Kimi Code Bench v2 up 21.8 percent, Program-Bench up 11 percent, MLS Bench Lite up 31.5 percent, and roughly 10 percent across Kimi Claw 24/7 Bench, MCP Atlas and MCP Mark Verified. Those are the vendor own measurements, and the charts behind them are images, so the percentages are repeated here and absolute scores are not. The request behaviour is worth knowing before the first call, because it is not adjustable. Temperature is fixed at 1.0, top_p at 0.95, n at 1, and both penalties at 0.0; the documentation states that supplying any other value for any of these returns an error. Thinking is the same story from the other direction. The model always thinks. The thinking object accepts only an enabled type, passing a disabled type returns an error, and the preserved-thinking setting is fixed to keep everything, so the reasoning trace from earlier turns stays in context and has to be sent back with each follow-up. There is no reasoning-effort dial either, because that parameter belongs to K3 and is listed as unsupported here. Input can be text, images or video, and this is one of the places where the official pages disagree with each other: the calling guide lists four image formats and the vision guide lists seven. Both lists appear below in full rather than being merged. The model identifier is kimi-k2.7-code-highspeed, and the whole page is written so that the figures can be re-checked at the links at the bottom.
What Kimi K2.7 Code HighSpeed is worth using for
Long coding runs without the wait
The vendor describes this as a coding model that follows instructions more reliably inside long contexts, and the high-speed route exists so that a multi-step agent loop spends less of its wall-clock time waiting on tokens. The official guidance for multi-step work is specific: keep the assistant reasoning trace from earlier turns in the context. The workspace below sends the conversation you type, and the thinking switch is held on for you.
Refactor this module in three passes. Pass one, list every public function and who calls it. Pass two, propose the new signatures and wait for my approval. Pass three, apply them and update the call sites. Keep the reasoning from pass one available in pass two instead of restating it.
Screenshots and screen recordings as input
The model takes text, images and video. The calling guide lists nine video formats and recommends capping video at 1080p and images at 4K, because higher resolutions raise processing time without raising comprehension. It also states that image URLs are not supported at all, only base64 payloads or an uploaded file id. Attachments on this page are narrower than that, and the workspace section spells out exactly how.
Attach a screen recording of the failing flow and a screenshot of the traceback. Tell me which request fails, quote the line that raises, and give me the smallest patch that would fix it. Ask for the one extra file you need if the recording does not cover it.
A model that will not be told to stop thinking
Thinking is mandatory here rather than a setting. The documentation states plainly that Kimi K2.7 Code does not support a non-thinking mode, that the thinking type accepts only the enabled value, and that supplying a disabled value returns an error. The preserved-thinking option is fixed on for the same reason. If a workflow of yours depends on switching reasoning off to save output tokens, this is the wrong model, and that is a design decision by the vendor rather than a limitation of this page.
Walk through this constraint solver step by step before answering. Name the assumption you are making at each branch and say which branch you abandoned and why. Do not compress the reasoning into the final answer.
Fixed sampling makes runs comparable
Temperature, top_p, n and both penalties are pinned to single values and reject anything else. For an individual chat that is a loss of control. For comparing two runs of the same prompt it is useful, because you are not measuring your own sampling choices. The workspace does not expose any of these fields, so nothing here can accidentally change them.
Run the same prompt twice on this task and show both outputs side by side. I want to see how much variation comes from the model rather than from a temperature setting, since the sampling parameters are fixed for this model.
Official Kimi K2.7 Code HighSpeed specifications
- Identifier
- kimi-k2.7-code-highspeed
- Context window
- 262,144 tokens (256K), the same as the standard variant
- Output speed
- About 180 tokens/s; up to 260 tokens/s on short context
- Default max_tokens
- 32,768
- Sampling parameters
- temperature 1.0, top_p 0.95, n 1, presence and frequency penalty 0.0 — all fixed, other values error
- Thinking
- Always on; only the enabled type is accepted; preserved thinking fixed on
- Input modalities
- Text, images and video
Kimi K2.7 Code HighSpeed and Kimi K2.7 Code side by side
Every value below comes from one page, the K2-series table on the Kimi pricing page, which prints a Kimi K2.7 Code row and a Kimi K2.7 Code HighSpeed row one above the other. A single official artefact therefore accounts for both columns of every row, which is what makes this readable as a comparison rather than as two lists placed next to each other. Read the direction before the size of the numbers: the left column is this page model and the right column is the standard variant it is built on, and the three rate rows are exactly doubled rather than roughly doubled. Cache-hit input moves from 1.30 to 2.60 yuan per million tokens, cache-miss input from 6.50 to 13.00, and output from 27.00 to 54.00. That the doubling is exact down to the cent is the clearest statement the vendor makes about what the high-speed route is: not a bigger or better model, but the same one priced for throughput. The last two rows carry the opposite information and are kept rather than deleted. The billing unit is one million tokens on both sides, and the context window is 262,144 tokens on both sides, so neither is a place where the two variants separate. Dropping them because they do not differ would be an editorial choice dressed up as a table. Two things are deliberately absent. The first is a benchmark row: the official performance charts for this model are images whose values cannot be read as text, and the only machine-readable numbers on the calling guide are the three percentages against K2.6, which pit this model against a different model rather than against its own standard variant. The second is a dollar row: the international pricing page prints a parallel table in US dollars at the same two-to-one ratio, but mixing two currencies into one table would make the columns harder to check, so the dollar figures are given in the pricing section instead.
| Official figure | Kimi K2.7 Code HighSpeed | Kimi K2.7 Code |
|---|---|---|
| Billing unit | 1M tokens | 1M tokens |
| Input price · cache hit | ¥2.60 / 1M tokens | ¥1.30 / 1M tokens |
| Input price · cache miss | ¥13.00 / 1M tokens | ¥6.50 / 1M tokens |
| Output price | ¥54.00 / 1M tokens | ¥27.00 / 1M tokens |
| Context window | 262,144 tokens | 262,144 tokens |
How to use Kimi K2.7 Code HighSpeed online
Describe the job, not the tool call
Because thinking is mandatory and preserved, this model is at its best when it is given a task rather than a fragment. State the outcome you want, the constraints you cannot move, the evidence you want cited, and the condition under which it should stop and ask you. Long-horizon coding is the use case the vendor measures for this generation, so a task that spans several steps is a fair request rather than an abuse of the chat box.
Attach what the words cannot carry
A screenshot, a diagram or a screen recording is a legitimate input here. The official recommendation is to keep images under 4K and video under 1080p, and to reach for a file upload rather than a long data URL when the same asset is referenced more than once. On this page the attachment control takes images and PDFs and nothing else, so a screen recording has to be described or converted before it can be used.
Expect the reasoning to come back
The preserved-thinking setting is fixed on, which means the model keeps its reasoning trace from earlier turns in context instead of discarding it. In practice this is what makes a long session coherent, and it is also why the answer to a small follow-up can look out of proportion to the question. Ask a narrow question at the end of a long session and you may get a wide answer, because the model is still holding the whole thread.
Check the rate before a long run
The high-speed route costs exactly twice the standard route per token, so it is worth asking whether a task needs the throughput. Interactive work, agent loops and anything a person is waiting on usually do. Batch work that runs overnight usually does not, and the standard variant is on the same page with the same context window. The rates carry no end date, so re-check them against the pricing page rather than trusting a cached figure.
What Kimi K2.7 Code HighSpeed costs, and the three different numbers that are not the same thing
Three official meters apply to this model and they are not interchangeable, so they are kept apart here. The first is per-token billing on the China platform, priced in yuan per million tokens, and it is the table the comparison above is drawn from: cache-hit input 2.60, cache-miss input 13.00, output 54.00, against 1.30, 6.50 and 27.00 for the standard variant, with a context window of 262,144 tokens on both rows. The second is the same table on the international platform in US dollars, and it repeats the same two-to-one relationship: 0.38 for cache-hit input, 1.90 for cache-miss input and 8.00 for output, against 0.19, 0.95 and 4.00 on the standard row. The third is not a price at all. The Kimi Code client documentation lists this model as the client entry kimi-for-coding-highspeed and writes its cost as three times the quota usage, which is a subscription allowance multiplier rather than a per-token rate. Three times quota and double the rate are different measurements of different things, and reading one as the other would be a mistake worth avoiding. One more reading follows from the layout of the pricing table itself. This model row contains no conditional pricing: there is no input-length tier that re-prices a request and no peak-versus-off-peak multiplier. What the page does not contain is equally important. No official page puts an end date on any of these rates, and no official page publishes a promotional or introductory price for this model, both checked on 6 October 2026. The desktop client model table does attach this model to plan tiers rather than to a date: available on new plans from Pro upward, and on legacy plans from Allegretto upward. Nothing above is this site checkout price. This site bills in points against a catalog reference price of 331.2741 points per million input tokens, 1376.0617 points per million output tokens and 66.2548 points per million cached read tokens, and there is no conversion between points and either currency.
View points and plans ↗Kimi K2.7 Code HighSpeed FAQ
Is this a different model from Kimi K2.7 Code?
No. The official calling guide states that kimi-k2.7-code-highspeed is the same model as kimi-k2.7-code, served at roughly five to six times the output speed rather than as a separate build. The context window is identical on both rows of the pricing table, and so is the billing unit. What differs is the rate, which is exactly twice as high, and the output speed. The page treats the two as one model with two routes, which is how the vendor writes it.
Can I turn thinking off?
Not on this model, and not through the API either. The documentation states that Kimi K2.7 Code does not support a non-thinking mode, that the thinking type accepts only the enabled value, and that supplying a disabled value returns an error. The preserved-thinking option is fixed on for the same reason. On this page the switch is visible but disabled, so you cannot ask for something the API would reject. If saving output tokens matters more than reasoning depth, a different model on this site is the honest answer.
Why does it cost twice as much as the standard variant?
Because you are buying throughput rather than capability. The pricing page lists the three rates for this model at exactly double the standard rows, and the calling guide describes the difference as serving speed. The context window, the modalities and the parameter constraints are the same on both rows, so the surcharge buys how fast tokens come back and nothing else. Whether that is worth it depends on whether a person is waiting on the output or whether the job can run unattended.
What is the output limit on this page?
Each reply here is requested with at most 4,096 output tokens. The official default for this model is 32,768, and that figure describes the API rather than this chat box. The gap exists because the catalog this site reads carries no maximum-output field for this model, so the composer fallback of 4,096 is what applies. Long answers are still possible, but very long single replies are truncated at that ceiling rather than at the official one.
Can I upload a video here?
No. The official pages accept video as a first-class input and list nine formats, but this site attachment control accepts JPEG, PNG, WebP and PDF only, at up to 24 MB per file. There is no video path to narrow, so the difference is larger than a missing file extension. A screen recording has to be described in text or sampled into stills and attached as images before it can be used here.
How much context do I get?
The official window is 262,144 tokens, which the calling guide writes as 256K, and it is the same on both the standard and the high-speed row. This interface does not display a context figure at all, because the catalog field it would read is absent, so any number you see quoted for this page is the API figure rather than a workspace setting. In practice the ceiling you will meet first is the 4,096-token reply limit.
Do these rates have an expiration date?
None is published. Both the China pricing page and the international pricing page were checked on 6 October 2026, and neither attaches a date, a promotional window or an introductory price to this model rates. Treat the figures as current at the last edit rather than guaranteed to a date.
What does three times quota usage mean, and is it the same as double the price?
They are different measurements and the page keeps them apart. Three times quota usage comes from the Kimi Code client documentation, which lists this model as a subscription entry and counts its consumption against a plan allowance. Double the rate comes from the API pricing table, which counts yuan or dollars per million tokens. One describes how fast a plan allowance is spent, the other describes what a token costs. Neither converts into the other, and a page that merged them would be inventing a relationship the vendor does not state.
Sources and model information
Information checked
Start a Kimi K2.7 Code HighSpeed conversation
The chat box above runs this model, and this page is written to be checked rather than trusted. The specifications come from the official calling guide, the comparison comes from the single official pricing table that prints both variants one above the other, and the places where this workspace is narrower than the API are named one by one instead of being smoothed over. Send the task the way you would brief a colleague, since the reasoning is preserved and the sampling parameters are fixed, and re-check the rates against the pricing page before a long run because they carry no end date.
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