Moonshot AI vs Toloka

Moonshot AI — Foundation Models · Private · $35B valuation · 2 of 2 figures sourced  |  Toloka — Infrastructure · Private · 1 of 1 figure sourced

Relationship

Kimi Code and Tendem do comparable work on code generation; both also serve buyers who need to code with an AI assistant; Toloka's scale not recorded.

Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.

3 of 7 capabilitiesShared product type

3 of 7 capabilities — Shares agent orchestration, code generation and text generation.

Ludbee capability tags · from the product records

Shared product type — Both ship AI agent.

Ludbee product records

Aligned comparison

FieldMoonshot AIToloka
Size$35B valuationnot disclosed
Employees——
Founded20232014 9 yrs earlier
StatusPrivatePrivate match
CategoryFoundation ModelsInfrastructure
Stack layerAI agent, Application, Model APIAI agent, Data service, Platform
HeadquartersBeijing, ChinaAmsterdam, Netherlands

Capability overlap

Shared · 3

Agent orchestrationCode generationText generation

Not verified for Toloka · 4

Agentic codingDocument extractionSummarizationSearch answers

Recorded for Moonshot AI. Toloka’s product records say nothing either way — a missing record is not a missing capability.

Not verified for Moonshot AI · 8

Data analysisData labellingEvaluation and observabilityGuardrails and safetyMarketing contentModel trainingTranslationWorkflow automation

Recorded for Toloka. Moonshot AI’s product records say nothing either way — a missing record is not a missing capability.

Products, side by side

Algorithmic pairing — assembled from recorded fields, not hand-checked

Moonshot AI

AI agent

Kimi ClawAI agent

Deploys persistent AI agents on personal or cloud devices for ongoing task execution.

Kimi CodeAI agent

Performs software-development tasks (code generation, review, refactoring) with Kimi's AI.

Toloka

AI agent

TendemAI agent

A hybrid AI-plus-human agent that takes a delegated task - research, data analysis, copywriting, design or development - has AI do the first pass, then routes it to one of 10,000+ vetted experts for verification and multi-layer QA, returning results in 2-24 hours.

No counterpart

Moonshot AI sells these in a stack layer with no product recorded for Toloka yet — nothing on the other side to compare them against.

Application

KimiApplication

Assistant for chat, long-document reading and web search, built on Moonshot's Kimi models.

Model API

Kimi Open PlatformModel API

Moonshot's developer platform for calling the Kimi models, billed per token.

Toloka sells these in a stack layer with no product recorded for Moonshot AI yet — nothing on the other side to compare them against.

Platform

Toloka ArenaPlatform

An independent evaluation platform that ranks frontier LLMs on agentic tool-use tasks using private, non-contaminated benchmarks across industry domains, scored on a pass^5 reliability metric, with the underlying RL Gyms and evaluation datasets available to license.

Toloka TrainPlatform

A self-serve service that lowers per-request inference cost through two tools - fine-tuning LoRA adapters on frozen Qwen3 base models to replace a frontier API on a narrow task, and prompt gisting that compresses long instruction prefixes into learned tokens.

Data service

Off-the-shelf DatasetsData service

Toloka's catalogue of ready-made training datasets sold outright — three named at the time of writing (Tau-bench Dataset Extension, University-level Math Reasoning, Multimodal Conversations) — as distinct from the custom data work its Platform sells.

Toloka Physical AIData service

Human-in-the-loop data programs -- demonstrations, annotation and evaluation -- for training robotics and physical AI systems.

Toloka PlatformData service

A self-serve platform where an AI agent turns a described data goal into a full human-annotation pipeline - RLHF and preference data, data collection, instruction tuning, model evaluation, synthetic-data validation and content-moderation QA - with LLM-based quality checks on the output.