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Kimi K2.5 vs R1 Distill Llama 70B

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 K2.5 and R1 Distill Llama 70B.

Moonshot AI

Kimi K2.5

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...

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DeepSeek

R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...

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Technical Specifications

SpecificationKimi K2.5R1 Distill Llama 70B
ProviderMoonshot AIDeepSeek
Context Window262,144 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-272025-01-23

API Pricing Comparison

Input Price per Million Tokens

Kimi K2.5

$0.38

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

Kimi K2.5

$2.02

R1 Distill Llama 70B

$0.80

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
8250.0%vs8520.0%
Kimi K2.5
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
8300.0%vs8830.0%
Kimi K2.5
R1 Distill Llama 70B
MATHComplex mathematical problem solving
5900.0%vs7000.0%
Kimi K2.5
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
4100.0%vs4450.0%
Kimi K2.5
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
8400.0%vs8600.0%
Kimi K2.5
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
880.0%vs905.0%
Kimi K2.5
R1 Distill Llama 70B

Kimi K2.5 Quirks & Gotchas

No developer gotchas reported.

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.