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MoonshotAI Kimi Latest vs R1

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for MoonshotAI Kimi Latest and R1.

Moonshot AI

MoonshotAI Kimi Latest

This model always redirects to the latest model in the MoonshotAI Kimi family.

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DeepSeek

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

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Technical Specifications

SpecificationMoonshotAI Kimi LatestR1
ProviderMoonshot AIDeepSeek
Context Window262,144 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-272025-01-20

API Pricing Comparison

Input Price per Million Tokens

MoonshotAI Kimi Latest

$0.66

R1

$0.70

Output Price per Million Tokens

MoonshotAI Kimi Latest

$3.41

R1

$2.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8420.0%vs9080.0%
MoonshotAI Kimi Latest
R1
HumanEvalPython coding & logic synthesis
8500.0%vs9280.0%
MoonshotAI Kimi Latest
R1
MATHComplex mathematical problem solving
6400.0%vs9310.0%
MoonshotAI Kimi Latest
R1
GPQAGraduate-level expert reasoning
4300.0%vs6210.0%
MoonshotAI Kimi Latest
R1
HellaSwagCommonsense reasoning and inference
8500.0%vs9050.0%
MoonshotAI Kimi Latest
R1
MT-BenchMulti-turn conversation flow quality
890.0%vs935.0%
MoonshotAI Kimi Latest
R1

MoonshotAI Kimi Latest Quirks & Gotchas

No developer gotchas reported.

R1 Quirks & Gotchas

No developer gotchas reported.