Tasks and inputs
Kimi K2 is listed for Image-text-to-text, Text-to-text AI models. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Kimi K2 Thinking is an open-source model that operates as a "thinking agent," reasoning step-by-step while using tools to achieve state-of-the-art performance on various benchmarks. It is capable of executing up to 200-300 sequential tool calls without human intervention, allowing it to solve complex problems across a wide range of tasks. The model uses Quantization-Aware Training (QAT) to support INT4 inference, which provides a roughly 2x improvement in generation speed.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Kimi K2 is listed in Requesty’s public model catalogue under the exact routing identifier vertex/kimi-k2. Kimi K2 Thinking is an open-source model that operates as a "thinking agent," reasoning step-by-step while using tools to achieve state-of-the-art performance on various benchmarks. It is capable of executing up to 200-300 sequential tool calls without human intervention, allowing it to solve complex problems across a wide range of tasks. The model uses Quantization-Aware Training (QAT) to support INT4 inference, which provides a roughly 2x improvement in generation speed.
When the catalogue snapshot was collected, the catalogue records a context window of 262,144 tokens and a maximum output of 262,144 tokens. It records reasoning support, vision input support, tool-calling support, and no image-generation flag. These fields describe the routing catalogue entry and should be rechecked against the current provider documentation before production use.
The source catalogue reports input and output prices when available. Pricing can depend on the route, region, token tier, cache use, account, and date, so this record does not infer a commercial commitment from a single snapshot. Confirm current pricing, data handling, regional controls, rate limits, and availability with the current upstream documentation.
Explore Vertex via Requesty models and the text-to-text ai models collection. Use the comparison tool to inspect a second candidate.
Compare the model on the work you need to complete.
Kimi K2 is listed for Image-text-to-text, Text-to-text AI models. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 262.14K context and 262.14K maximum output. The listed route charges $0.60 input and $2.50 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
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