Models with recorded evidence.

Start with a research area, drill into a vendor, or page through the full index. Vendor aliases and legacy area IDs are grouped here; original model IDs and model links stay unchanged. Only models with at least one benchmark score appear — a model without a recorded score can’t be ranked.

Vendor:Areas overview SpeakLeash · 263 Alibaba · 104 Google · 102 OpenAI · 86 Meta · 68 Microsoft · 49 Anthropic · 44 DeepSeek · 34 Mistral · 30 mistralai · 19 CYFRAGOVPL · 14 NVIDIA · 14 Zhipu AI · 13 internlm · 10 xAI · 10 ByteDance · 9 Baidu · 8 ibm-granite · 8 PLLuM · 8 allenai · 7 Amazon · 7 MiniMax · 7 Mistral AI · 7 Remek · 7 Shanghai AI Lab · 7 utter-project · 7 CohereForAI · 6 Salesforce · 6 01-ai · 5 Cohere · 5 Moonshot AI · 5 NousResearch · 5 THUML · 5 gguf-iq · 4 IBM · 4 Meituan · 4 openchat · 4 Stanford · 4 THUDM · 4 tiiuae · 4 UC San Diego · 4 VikParuchuri · 4 Allen AI · 3 BAAI · 3 Du et al. · 3 ForgeCode · 3 Fudan University · 3 gguf · 3 gguf11bv30 · 3 gguf7bv30 · 3 IDEA Research · 3 Liao et al. · 3 Moonshot.AI · 3 Nam Tuan Ly / NII · 3 OpenDataLab · 3 OPI-PG · 3 upstage · 3 ViCoS Lab Ljubljana · 3 Xiaomi · 3 Zhao et al. · 3+ 243 smaller vendors (288 models)

§ 01 · Natural Language Processing models

854 models in Natural Language Processing · page 14 of 18.

#	Model	Vendor	Parameters	Architecture	Benchmarks	Results
651	Gemini-3.0-Pro-Preview	Google	—	—	1	7
652	Gemini-3.1-Pro-Preview	Google	—	—	1	7
653	Gemini-Exp-1206	Google	—	—	1	7
654	Gemini-Flash-1.5	Google	—	—	1	7
655	Gemini-Pro-1.5	Google	—	—	1	7
656	Gemma-2-27b	Google	—	—	1	7
657	Gemma-2-9b	Google	—	—	1	7
658	Grok-2-1212	xAI	—	—	1	7
659	Grok-3-Beta	xAI	—	—	1	7
660	Grok-3-Mini-Beta	xAI	—	—	1	7
661	Grok-4-Fast	xAI	—	—	1	7
662	Grok-4.1-Fast	xAI	—	—	1	7
663	Grok-4.20	xAI	—	—	1	7
664	Kimi-K2-0905	Moonshot.AI	—	—	1	7
665	Llama-3.0-70B	Meta	—	—	1	7
666	Llama-3.1-405b	Meta	—	—	1	7
667	Llama-3.1-70B	Meta	—	—	1	7
668	Llama-3.1-8B	Meta	—	—	1	7
669	Llama-3.1-Tulu-3-405B	Meta	—	—	1	7
670	Llama-3.3-70B	Meta	—	—	1	7
671	Llama-PLLuM-70B-chat-250801	PLLuM	—	—	1	7
672	Magistral-Small-2506	Mistral	—	—	1	7
673	MiniMax-M2.7	MiniMaxAI	—	—	1	7
674	Ministral-14b-2512	Mistral	—	—	1	7
675	Ministral-3b-2512	Mistral	—	—	1	7
676	Ministral-8b	Mistral	—	—	1	7
677	Ministral-8b-2512	Mistral	—	—	1	7
678	Mistral-7b-v0.3	Mistral	—	—	1	7
679	Mistral-Large-2407	Mistral	—	—	1	7
680	Mistral-Large-2411	Mistral	—	—	1	7
681	Mistral-Large-2512	Mistral	—	—	1	7
682	Mistral-Nemo	Mistral	—	—	1	7
683	Mistral-Small-24B-2501	Mistral	—	—	1	7
684	Mistral-Small-3.1-24B-2503	Mistral	—	—	1	7
685	Mistral-Small-3.2-24B-2506	Mistral	—	—	1	7
686	Mistral-Small-4	Mistral	—	—	1	7
687	O1-2024-12-17	OpenAI	—	—	1	7
688	O1-mini-2024-09-12	OpenAI	—	—	1	7
689	O3-2025-04-16	OpenAI	—	—	1	7
690	O3-mini-2025-01-31	OpenAI	—	—	1	7
691	O4-Mini-2025-04-16	OpenAI	—	—	1	7
692	PLLuM-12B-nc-chat-250715	PLLuM	—	—	1	7
693	Qwen-2.5-14b	Alibaba	—	—	1	7
694	Qwen-2.5-32b	Alibaba	—	—	1	7
695	Qwen-2.5-72b	Alibaba	—	—	1	7
696	Qwen-2.5-7b	Alibaba	—	—	1	7
697	Qwen-Max	Alibaba	—	—	1	7
698	Qwen-Plus	Alibaba	—	—	1	7
699	Qwen-Turbo-2024-11-01	Alibaba	—	—	1	7
700	Qwen3-14B	Alibaba	—	—	1	7