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KAT-Coder-Air V2.5 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 KAT-Coder-Air V2.5 and o1.

Kuaishou

KAT-Coder-Air V2.5

No description available.

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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...

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Technical Specifications

SpecificationKAT-Coder-Air V2.5o1
ProviderKuaishouOpenAI
Context Window256,000 tokens200,000 tokens
Agent SuitabilityN/A88/100
Time to First Token (TTFT)N/A2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-07-102024-12-17

API Pricing Comparison

Input Price per Million Tokens

KAT-Coder-Air V2.5

$0.15

o1

$15.00

Output Price per Million Tokens

KAT-Coder-Air V2.5

$0.60

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%
KAT-Coder-Air V2.5
o1
HumanEvalPython coding & logic synthesis
N/Avs9450.0%
KAT-Coder-Air V2.5
o1
MATHComplex mathematical problem solving
N/Avs9480.0%
KAT-Coder-Air V2.5
o1
GPQAGraduate-level expert reasoning
N/Avs7830.0%
KAT-Coder-Air V2.5
o1
HellaSwagCommonsense reasoning and inference
N/Avs9200.0%
KAT-Coder-Air V2.5
o1
MT-BenchMulti-turn conversation flow quality
N/Avs940.0%
KAT-Coder-Air V2.5
o1

KAT-Coder-Air V2.5 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