โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Kimi K3 vs o1

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 Kimi K3 and o1.

Moonshot AI

Kimi K3

Kimi K3 is an ultra-large-scale, open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating...

View Full Specs
OpenAI

o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

View Full Specs

Technical Specifications

SpecificationKimi K3o1
ProviderMoonshot AIOpenAI
Context Window1,048,576 tokens200,000 tokens
Agent SuitabilityN/A88/100
Time to First Token (TTFT)N/A2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-162024-12-17

API Pricing Comparison

Input Price per Million Tokens

Kimi K3

$3.00

o1

$15.00

Output Price per Million Tokens

Kimi K3

$15.00

o1

$60.00

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
N/Avs9180.0%
Kimi K3
o1
HumanEvalPython coding & logic synthesis
N/Avs9450.0%
Kimi K3
o1
MATHComplex mathematical problem solving
N/Avs9480.0%
Kimi K3
o1
GPQAGraduate-level expert reasoning
N/Avs7830.0%
Kimi K3
o1
HellaSwagCommonsense reasoning and inference
N/Avs9200.0%
Kimi K3
o1
MT-BenchMulti-turn conversation flow quality
N/Avs940.0%
Kimi K3
o1

Kimi K3 Quirks & Gotchas

No developer gotchas reported.

o1 Quirks & Gotchas

  • โ–ธReasoning model โ€” high latency by design, not for real-time use
  • โ–ธBest for complex math/code reasoning where accuracy > speed
  • โ–ธUse o3-mini when you need reasoning with lower latency