VENICE ATLAS · MODEL DOSSIER · KIMI K2.7 CODE

Model overview

Kimi K2.7 Code

Name: Kimi K2.7 Code
Brand: venice.ai
Price: 0.7500 USD
Availability: InStock

Kimi K2.7 Code is Moonshot AI's coding-focused agentic model built on Kimi K2.6, with 1T total parameters and 32B active parameters. It always operates in thinking mode, supports text and image input, and targets long-horizon software engineering, agentic task decomposition, and multi-turn coding workflows with 256K context.

kimi-k2-7-code · venice.ai

Text · Venice catalog$0.75 per 1M tokensPrice on Venice AI

ModalityTextOn Venice AI

Primary price$0.75 per 1M tokensper 1M tokens

Context window256KMax tokens

Benchmarks9Benchmark results

Benchmark results

See the tests behind each score. They use the benchmark’s original scoring scale.

Tool Calling#3223.25 rating

Agents5 results

Kimi Claw 24/7 Benchkimi-claw-24-7-bench · agents

46.9%

ReportedOct 2026

Kimi Code Bench v2kimi-code-bench-v2 · agents

62.0%

ReportedOct 2026

MCP-Markmcp-mark · agents

81.1%

ReportedOct 2026

MLS-Bench Litemls-bench-lite · agents

35.1%

ReportedOct 2026

Program Benchprogram-bench · agents

53.6%

ReportedOct 2026

Coding1 result

DeepSWE 1.1deepswe-1.1 · code

31.0%

ReportedOct 2026

Math1 result

LiveBenchlivebench · math

71.9%

ReportedOct 2026

Reasoning2 results

FrontierCode 1.1frontiercode-1.1 · reasoning

30.1%

ReportedOct 2026

MCP Atlasmcp-atlas · reasoning

76.0%

ReportedOct 2026

Learn what each benchmark measures ↗

Pricing detail

Input price per 1M tokens: $0.75
Output price per 1M tokens: $3.50
Cache read price per 1M tokens: $0.16
Blended price per 1M tokens (50/50): $2.13

Prices are published by Venice AI. Venice model page ↗

Capabilities

ReasoningFunction callingVisionWeb search

Endpoint metadata

Privacy: private
Quantization: int4
Maximum completion tokens: 66K
Uncensored: No
Beta: No
Mapping confidence: 100.0%

View model source ↗

All capabilities

Max Images: 10
Quantization: int4
Supports E2 E E: No
Supports Vision: Yes
Supports X Search: No
Optimized For Code: Yes
Supports Log Probs: No
Supports Reasoning: Yes
Supports Web Search: Yes
Supports Audio Input: No
Supports Video Input: No
Default Reasoning Effort: high
Reasoning Effort Options: low, medium, high
Supports Multiple Images: Yes
Supports Response Schema: Yes
Supports Tee Attestation: No
Supports Function Calling: Yes
Supports Reasoning Effort: Yes

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