Large Language Models

docAnalyzer.ai keeps pace with releases from Anthropic, DeepSeek, Google, Meta, OpenAI, and xAI, adding new models within days so you can pick the right fit for every workflow instead of being locked to a single AI source. We currently surface 19 models across 6 creators, each benchmarked for quality and speed so you can choose confidently. Explore the latest line-up below.

Model	Quality	Speed	Latency*
gpt-5.2 OpenAI	51 51	109 109 token/s	37.97 37.97 seconds
Claude Opus 4.5 Anthropic	49 49	65 65 token/s	1.84 1.84 seconds
Gemini 3 Pro Preview Google	48 48	122 122 token/s	32.61 32.61 seconds
GPT-5.1 OpenAI	47 47	107 107 token/s	35.13 35.13 seconds
Claude Sonnet 4.5 Anthropic	42 42	70 70 token/s	2.03 2.03 seconds
GPT-5 mini OpenAI	41 41	72 72 token/s	117.56 117.56 seconds
Grok 4 xAI	41 41	41 41 token/s	6.74 6.74 seconds
DeepSeek V3.2 (Thinking) DeepSeek	41 41	30 30 token/s	1.38 1.38 seconds
Claude Haiku 4.5 Anthropic	37 37	84 84 token/s	0.52 0.52 seconds
Gemini 2.5 Pro Google	34 34	153 153 token/s	35.89 35.89 seconds
GPT OSS 120b OpenAI	33 33	341 341 token/s	0.43 0.43 seconds
DeepSeek V3.2 (Non thinking) DeepSeek	32 32	28 28 token/s	1.3 1.3 seconds
GPT-5 nano OpenAI	27 27	121 121 token/s	115.38 115.38 seconds
GPT OSS 20b OpenAI	25 25	309 309 token/s	0.51 0.51 seconds
Grok 4.1 Fast xAI	23 23	147 147 token/s	0.75 0.75 seconds
Grok 4 Fast xAI	23 23	125 125 token/s	0.61 0.61 seconds
Gemini 2.5 Flash-Lite Google	22 22	577 577 token/s	7.28 7.28 seconds
Llama 4 Maverick Meta	19 19	132 132 token/s	0.4 0.4 seconds
Llama 4 Scout Meta	14 14	118 118 token/s	0.44 0.44 seconds

* Latency progress bars use a logarithmic scale, where lower latency values indicate better performance.