Evalry

Kimi Dev 72B

Kimi-Dev-72B is an open-source large language model fine-tuned for software engineering and issue resolution tasks. Based on Qwen2.5-72B, it is optimized using large-scale reinforcement learning that applies code patches in real repositories and validates them via full test suite execution—rewarding only correct, robust completions. The model achieves 60.4% on SWE-bench Verified, setting a new benchmark among open-source models for software bug fixing and code reasoning.

by MoonshotAI

Overview

Quick stats across all benchmark runs.

Score

—

9 benchmarks

Avg Latency

173.1s

13 requests

Pricing

$0.29 in / $1.15 out

per 1M tokens

Context

131K

tokens

Alternatives

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No alternatives found

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Benchmark Performance

How this model performs across different benchmarks

No benchmark data available

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Price vs Performance

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Current model (baseline)
Other models (relative score)
Y-axis shows score difference from shared benchmarks. X-axis uses log scale.

Score Over Time

Performance trends across all benchmark runs

Benchmark Activity

Number of benchmark runs over time

Quickstart

View on OpenRouter

Get started with this model using OpenRouter

import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "moonshotai/kimi-dev-72b",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

Get your API key at openrouter.ai/keys

Other Models from MoonshotAI

Compare performance with other models from the same creator

ModelLatencyCost/1MScore
Kimi K2.633.2s$2.1160%
Kimi K2 Thinking47.3s$1.5531%
Kimi K2 090534.5s$1.55—
Kimi K2 071115.0s$1.44—
Kimi K2.59.6s$1.15—