Compare moonshotai/kimi-k2-instruct from Moonshot AI and Step 3.7 Flash from StepFun on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
moonshotai/kimi-k2-instruct
Step 3.7 FlashKimi K2 is Moonshot AI's state-of-the-art Mixture-of-Experts (MoE) language model with 1 trillion total parameters and 32 billion activated parameters. Designed for agentic intelligence, it excels at tool use, coding, and autonomous problem-solving across diverse domains.
step-3.7-flash is stepfun's flagship inference model, designed for high-complexity tasks that require deep reasoning and fast execution. It excels at decomposing multi-step problems, performing tool calls, and maintaining consistency across massive datasets. It is the preferred choice for complex workloads such as long-context agents, advanced software engineering, and end-to-end research automation.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Step 3.7 Flash: $1.32/M output tokens; moonshotai/kimi-k2-instruct: $2.48/M. Use the cost calculator above to estimate your own workload.
moonshotai/kimi-k2-instruct accepts text input and supports tool calling, function calling and structured outputs; Step 3.7 Flash accepts text, image and video input.
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