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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Moonshot AI

Kimi K2-Instruct-0905

Moonshot AI

Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Meta

Llama 3.1 405B Instruct

Meta

Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.1 405B Instruct

Meta

2024-07-23

Moonshot AI

Kimi K2-Instruct-0905

Moonshot AI

2025-09-05

1 year newer

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2-Instruct-0905

Max Context:-
Parameters:1.0T
Meta

Llama 3.1 405B Instruct

Larger context
Max Context:256.0K
Parameters:405.0B

Average performance across 4 common benchmarks

Moonshot AI

Kimi K2-Instruct-0905

+8.9%
Average Score:83.9%
Meta

Llama 3.1 405B Instruct

Average Score:75.0%

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2-Instruct-0905

reasoning
60.1%
math
65.0%
code
56.9%
general
69.9%
Meta

Llama 3.1 405B Instruct

reasoning
+36.8%
96.9%
math
+22.4%
87.4%
code
+24.5%
81.4%
general
+3.4%
73.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Moonshot AI

Kimi K2-Instruct-0905

0 providers
Meta

Llama 3.1 405B Instruct

8 providers

Together

Throughput: 35 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 40 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 27 tok/s
Latency: 0.5ms

Google

Throughput: 42 tok/s
Latency: 0.4ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Replicate

Throughput: 22 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Fireworks

Throughput: 78 tok/s
Latency: 0.5ms
Moonshot AI

Kimi K2-Instruct-0905

+8.9%
Avg Score:83.9%
Providers:0
Meta

Llama 3.1 405B Instruct

Avg Score:75.0%
Providers:8