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Kimi K2 0905 vs Llama 3.1 70B Instruct

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 0905 and Llama 3.1 70B Instruct.

Moonshot AI

Kimi K2 0905

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...

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Meta

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

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Technical Specifications

SpecificationKimi K2 0905Llama 3.1 70B Instruct
ProviderMoonshot AIMeta
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-042024-07-23

API Pricing Comparison

Input Price per Million Tokens

Kimi K2 0905

$0.60

Llama 3.1 70B Instruct

$0.40

Output Price per Million Tokens

Kimi K2 0905

$2.50

Llama 3.1 70B Instruct

$0.40

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.

Kimi K2 0905 Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 70B Instruct Quirks & Gotchas

No developer gotchas reported.