Qoder Launches Fast Mode: 3-Second Responses, Credits Reduced to 0.8x

Alibaba Qoder Launches Fast Mode: 3-Second First Response, Credits Consumption Reduced to 0.8×

Alibaba Qoder announced today the launch of Fast mode. It is initially available on Qoder Desktop version 0.4.4 and later, and can be used by both individual and enterprise users. The CN and international versions are being opened simultaneously.

The focus of this update is not merely to make the model-tier names more straightforward. According to official figures, Fast has a first-response time of 3 seconds. In the international version, the existing Performance mode has been upgraded to Fast, shortening the first-response time from approximately 8 seconds to 3 seconds while maintaining output quality and reducing Credits consumption from 1.1× to 0.8×. Existing Performance users do not need to switch or migrate manually.

For people who write code, the difference between 3 and 8 seconds may not determine whether a complex task is completed, but it can change the rhythm of interacting with a coding assistant. When asking what a function in a repository does, having an Agent first list a modification plan, or asking it to fill in a section of local code, the few seconds before the model starts outputting often affect the perceived experience more than the total execution time. Fast’s main value lies in these frequent, brief interactions.

New Tier in the CN Version, Direct Upgrade in the International Version

The CN version has added the Fast tier, providing another option for everyday tasks that need to be delivered quickly. The change in the international version is more like a default upgrade: the former Performance mode has been renamed Fast. The company says quality remains consistent, responses are faster, and Credits consumption is lower.

According to the official comparison, before the upgrade, the international version’s Performance mode had a first-response time of approximately 8 seconds and a Credits consumption coefficient of 1.1×. After the upgrade, Fast delivers 3-second responses with a 0.8× coefficient. Reducing consumption from 1.1× to 0.8× represents a decrease of approximately 27%, using the original tier as the baseline. The 0.8× figure is a relative Credits coefficient; it does not mean that every task will use a fixed percentage less of the actual budget. Task length, context size, number of tool calls, and the model used will all affect final consumption.

Qoder also compared Fast’s response time with those of other tiers: Fast takes 3 seconds, Auto takes 9.8 seconds, Ultimate in the international version takes 13 seconds, and the international version’s Performance mode took 7.9 seconds before the upgrade. Based on these figures, the company says Fast responds in less than one-third the time of Auto and in approximately one-quarter the time of Ultimate. It is important to note that these figures describe first-response time, not the time required to complete an entire task. Subsequent retrieval, tool execution, code modification, and verification by the Agent may still take considerably longer.

A faster first response means that the model starts providing content sooner; it does not mean that it completes the entire development task faster. For work that involves running tests, modifying multiple files, or making repeated tool calls, users also care about completion rate, result quality, rework, and total time. Qoder has not placed these metrics alongside first-response time in a comprehensive evaluation table, so the 3-second figure is better understood as an interaction-latency metric rather than a guarantee of end-to-end development efficiency.

Adjusting Speed and Cost Together: The Direction Matters More Than Speed Alone

Choosing a mode in an AI coding tool usually involves trade-offs among speed, capability, and cost: the most powerful tier is suitable for complex reasoning and multi-step tasks, while a faster tier is better suited to frequent iteration. What makes Fast interesting is that the company claims output quality remains unchanged while responses become faster and Credits consumption decreases. If all three claims hold consistently across different tasks, Fast would be more than a tier to use only when time is tight; it could become the default choice for most everyday interactions.

However, “quality remains unchanged” is currently the company’s description of the international version’s upgrade from Performance to Fast. It should not be directly generalized to mean that there will be no differences across all tasks, prompts, and codebases. Code generation is especially prone to this pattern: simple completions may look nearly identical, while differences between the model and execution strategies become more apparent in repository-level context, cross-file refactoring, complex constraints, or fixes following test failures. Developers evaluating whether Fast is suitable for long-term use should ideally observe results on their own typical tasks rather than looking only at a single response time.

Likewise, lower Credits consumption is especially attractive to heavy users, but the specific benefits depend on billing rules and task distribution. If daily usage consists largely of short questions, code explanations, and minor modifications, a tier that responds quickly and consumes fewer Credits may encourage more frequent use. If the main workload consists of complex Agent tasks, the actual bill will still depend on the call chain and task success rate. The 0.8× coefficient released by the company provides directional guidance, but it cannot replace monthly cost statistics based on real workloads.

Official Cross-Product Testing Still Lacks Key Details

Qoder says its team selected 10 common developer tasks and compared Fast with the Fast modes of similar domestic and international products under the same tasks. The official conclusion is that Qoder took only one-third as long as comparable domestic products and one-quarter as long as comparable international products to complete its responses. The disclosed examples include generating a Qingdao travel guide, which took 1 second in total, and planning the next day’s work based on that day’s work report, which took 4 seconds in total.

These results are worth noting, but the available information is insufficient to constitute a rigorous industry performance conclusion. The public materials do not provide the complete list of the 10 tasks, the number of test runs, network and hardware conditions, specific competitor versions, or the start and end points used for timing. Nor do they explain whether the results are averages, medians, or single-run scores. The two example tasks are also not typical codebase modification, test-fixing, or multi-file development scenarios. Therefore, “one-third” and “one-quarter” should currently be regarded as Qoder’s official test results, rather than independently reproducible benchmarks.

For developers, a more useful comparison method is to incorporate the tools into their own workflows: select common tasks such as code explanation, local implementation, cross-file modification, and test-failure repair; keep the prompts and repository state fixed; and record first-response time, completion time, whether the task passes on the first attempt, manual rework time, and Credits consumption. Comparing only how quickly a model starts talking can easily lead users to mistake “outputs first” for “finishes first.”

Fast Is Better Suited to High-Frequency Interactions, While Complex Tasks Still Depend on Results

From a product-positioning perspective, Fast is suitable for work that requires rapid back-and-forth confirmation: first asking an Agent to read and summarize a piece of code, then adding constraints; first generating a modification plan, then deciding whether to execute it; or repeatedly adjusting a small implementation in an editor. Shorter waits make these operations feel closer to real-time feedback, while the lower Credits coefficient also reduces the cost of frequent experimentation.

If a task involves understanding a large repository, architecture-level changes, long chains of tool calls, or stringent correctness requirements, developers should not decide whether Fast is suitable based solely on its name. A more reliable approach is to observe whether it correctly reads the context, modifies the intended files as requested, passes the tests, and performs reliable repairs after failures. Speed is part of the development experience, but it cannot substitute for correctness.

This update also reflects a broader shift in the competition among coding assistants: beyond model capabilities, waiting time and per-task cost are becoming product differentiators. Developers do not need the strongest reasoning for every request; many interactions involve only confirmation, explanation, or small-scale editing. Processing these requests more quickly and cheaply may deliver more everyday value than simply adding a higher-capability tier. The real test is whether Fast can maintain quality across a broader range of coding tasks and whether its officially stated speed advantage holds up in reproducible tests.

Fast is initially available on Qoder Desktop version 0.4.4 and later. Individual and enterprise users of both the CN and international versions can use it. Qoder says that other products in its product family will also roll out Fast mode in succession in the near future; the subsequent coverage and specific timeline have not yet been announced.