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Kimi K2 Thinking vs Llama 3.1 405B

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 Thinking and Llama 3.1 405B.

Moonshot AI

Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AIโ€™s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...

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Meta

Llama 3.1 405B

Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.

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Technical Specifications

SpecificationKimi K2 ThinkingLlama 3.1 405B
ProviderMoonshot AIMeta
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/A90/100
Time to First Token (TTFT)N/A550 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-11-062024-07-23

API Pricing Comparison

Input Price per Million Tokens

Kimi K2 Thinking

$0.60

Llama 3.1 405B

$0.80

Output Price per Million Tokens

Kimi K2 Thinking

$2.50

Llama 3.1 405B

$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
8850.0%vsN/A
Kimi K2 Thinking
Llama 3.1 405B
HumanEvalPython coding & logic synthesis
9100.0%vsN/A
Kimi K2 Thinking
Llama 3.1 405B
MATHComplex mathematical problem solving
8540.0%vsN/A
Kimi K2 Thinking
Llama 3.1 405B
GPQAGraduate-level expert reasoning
5450.0%vsN/A
Kimi K2 Thinking
Llama 3.1 405B
HellaSwagCommonsense reasoning and inference
8880.0%vsN/A
Kimi K2 Thinking
Llama 3.1 405B
MT-BenchMulti-turn conversation flow quality
922.0%vsN/A
Kimi K2 Thinking
Llama 3.1 405B

Kimi K2 Thinking Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 405B Quirks & Gotchas

  • โ–ธMassive model โ€” requires 8ร— A100 80GB for FP16 inference
  • โ–ธAvailable via Together AI, Fireworks, and Bedrock as managed API