2 models · 953 observations · under measurement since 2 May
DeepSeek R1 vs DeepSeek V4.1 Flash
Kyma serves all of these, so the availability, throughput and latency below are its own readings rather than anybody's marketing. What each creator publishes about its own model is further down, kept separate, and clearly theirs.
DeepSeek R1DeepSeek
949 obs
since 2 May
675 from Kyma's own probe
DeepSeek V4.1 FlashDeepSeek
4 obs
since 13 Sept (yesterday)
0 from Kyma's own probe
Availability, and how much of it we can actually see
Successful observations divided by total observations over the last 30 days, counting Kyma's own probe and real customer requests the same way. Same method and same figures as /models.
Only one of these models has been measured for long enough to publish, so there is nothing to compare yet.
DeepSeek R1DeepSeek V4.1 FlashThe tinted band is the measurement's own grain. It is 0.3 points wide, which is what three failed requests are worth in the thinnest sample on this page. One or two is what luck looks like, so a lead has to clear all three before this page will call it. Scale starts at 99%, not at zero, and dot size is the size of the sample behind the figure.
Throughput
Median tokens per second, from one identical prompt sent to every model every six hours, so the only variable left between two rows is the model.
DeepSeek R1DeepSeek V4.1 FlashLatency
Median time to a complete response on that same fixed prompt. It moves with output length, so it is a reading on one prompt rather than a promise about yours.
DeepSeek R1DeepSeek V4.1 FlashAt least one model here has been measured for days rather than months. Its figures are real readings, not estimates, but they rest on a sample thin enough that a single failure would move them by a full point or more, which is why this page will not rank on them.
What a request costs today, per 1M tokens. A model on offer shows the rate you are actually charged and the date it returns to list.
| Fact | DeepSeek R1 | DeepSeek V4.1 Flash |
|---|---|---|
Input per 1M tokens | $0.7425 | $0.27 |
Output per 1M tokens | $2.957 | $0.81 |
Cached input repeated prefixes | not supported | not supported |
The specification each creator publishes for its own model, read straight from the catalogue Kyma serves from. Nothing in this block is a Kyma opinion.
| Fact | DeepSeek R1 | DeepSeek V4.1 Flash |
|---|---|---|
Context window tokens in one request | 64K | 1.05M |
Max output ceiling on one response | 33K | 131K |
Accepts | Text | Text, image |
Tool calling | Yes | Yes |
Reasoning | Yes | Yes |
Vision input | No | Yes |
Weights | Opendeepseek-ai/DeepSeek-R1-0528 | Opendeepseek-ai/DeepSeek-V4.1-Flash |
Below release precision narrower than the creator shipped | not measured | None reported |
What this instrument does not measure
This page carries no benchmark scores, so it will not tell you which model is smarter. It tells you which is cheaper, which is faster, which stays up, and what each one accepts. For the quality question, run both on your own prompts: one key, one line changed, and the answer is about your work rather than someone else's test set.