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LLM Benchmark Dashboard

Real-world tested statistics and performance metrics for leading Large Language Models

12

Models Tested

847

Tests Conducted

1.2s

Avg Response Time

94.7%

Success Rate

G

GPT-4 Turbo

OpenAI • 128K context

1

Reasoning 92.4%

Coding 89.7%

Speed 78.2%

C

Claude 3.5 Sonnet

Anthropic • 200K context

2

Reasoning 91.8%

Coding 93.2%

Speed 85.6%

G

Gemini 1.5 Pro

Google • 1M context

3

Reasoning 88.5%

Coding 86.3%

Speed 82.1%

L

Llama 3.1 405B

Meta • 128K context

4

Reasoning 86.2%

Coding 84.8%

Speed 71.4%

M

Mistral Large 2

Mistral AI • 128K context

5

Reasoning 84.7%

Coding 82.1%

Speed 88.9%

Q

Qwen 2.5 72B

Alibaba • 128K context

6

Reasoning 83.4%

Coding 85.6%

Speed 79.3%

Detailed Comparison

Model	MMLU	HumanEval	GSM8K	HellaSwag	Latency	Cost/1M tokens
GPT-4 Turbo	86.4%	87.1%	92.0%	95.3%	1.8s	$10.00
Claude 3.5 Sonnet	88.7%	92.0%	91.6%	89.0%	1.2s	$3.00
Gemini 1.5 Pro	85.9%	74.4%	90.8%	92.5%	1.5s	$7.00
Llama 3.1 405B	85.2%	89.0%	95.1%	89.2%	2.1s	$5.00
Mistral Large 2	84.0%	76.2%	87.5%	88.4%	0.9s	$2.00
Qwen 2.5 72B