Every model, measured.

Start with a research area, drill into a vendor, or page through the full index. Only models with at least one benchmark score appear — a model without a recorded score can’t be ranked.

Vendor:Areas overview speakleash · 253 OpenAI · 85 Google · 71 Qwen · 52 Alibaba · 47 Anthropic · 44 Microsoft · 35 Meta · 30 Mistral · 30 DeepSeek · 28 google · 19 meta-llama · 19 mistralai · 19 Meta AI · 15 CYFRAGOVPL · 14 Zhipu AI · 13 NVIDIA · 10 SpeakLeash · 10 internlm · 10 xAI · 10 ByteDance · 9 Baidu · 8 PLLuM · 8 ibm-granite · 8 microsoft · 8 Amazon · 7 Google DeepMind · 7 MiniMax · 7 Mistral AI · 7 Remek · 7 Shanghai AI Lab · 7 allenai · 7 utter-project · 7 CohereForAI · 6 Microsoft Research · 6 Salesforce · 6 01-ai · 5 Alibaba Cloud · 5 Cohere · 5 Moonshot AI · 5 NousResearch · 5 THUML · 5 deepseek-ai · 5 DeepMind · 4 Facebook AI · 4 IBM · 4 Meituan · 4 Stanford · 4 THUDM · 4 UC San Diego · 4 VikParuchuri · 4 gguf-iq · 4 nvidia · 4 openchat · 4 tiiuae · 4 Allen AI · 3 BAAI · 3 Du et al. · 3 ForgeCode · 3 Fudan University · 3 IDEA Research · 3 Liao et al. · 3 Moonshot.AI · 3 Nam Tuan Ly / NII · 3 OPI-PG · 3 OpenDataLab · 3 ViCoS Lab Ljubljana · 3 Xiaomi · 3 Zhao et al. · 3 gguf · 3 gguf11bv30 · 3 gguf7bv30 · 3 upstage · 3+ 247 smaller vendors (291 models)

§ 01 · Qwen models

52 models from Qwen · page 1 of 2.

#	Model	Vendor	Parameters	Architecture	SOTA	Benchmarks	Results
001	Qwen2.5-Plus	Qwen	—	—	9	9	9
002	Qwen/Qwen2.5-14B-Instruct	Qwen	14.8B	—	1	3	17
003	Qwen/Qwen2.5-72B-Instruct	Qwen	72.7B	—	1	3	17
004	Qwen3-VL-235B-A22B-Instruct	Qwen	—	—	1	12	12
005	Qwen2.5-32B	Qwen	—	—	1	1	11
006	Qwen/Qwen3.5-27B thinking (API)	Qwen	27B	—	1	1	5
007	Qwen/Qwen3.5-35B-A3B thinking (API)	Qwen	35B	—	1	1	5
008	Qwen/Qwen1.5-72B-Chat	Qwen	72.3B	—	—	3	17
009	Qwen/Qwen2-72B-Instruct	Qwen	72.7B	—	—	3	17
010	Qwen/Qwen2.5-1.5B-Instruct	Qwen	1.54B	—	—	3	17
011	Qwen/Qwen2.5-32B-Instruct	Qwen	32.8B	—	—	3	17
012	Qwen/Qwen2.5-3B-Instruct	Qwen	3.09B	—	—	3	17
013	Qwen/Qwen2.5-7B-Instruct	Qwen	7.62B	—	—	3	17
014	Qwen1.5-32B	Qwen	—	—	—	2	12
015	Qwen1.5-32B-Chat	Qwen	—	—	—	2	12
016	Qwen1.5-72B	Qwen	—	—	—	2	12
017	Qwen1.5-7B	Qwen	—	—	—	2	12
018	Qwen1.5-7B-Chat	Qwen	—	—	—	2	12
019	Qwen2-1.5B-Instruct	Qwen	—	—	—	2	12
020	Qwen2-57B-A14B-Instruct	Qwen	—	—	—	2	12
021	Qwen2-72B	Qwen	—	—	—	2	12
022	Qwen2-7B	Qwen	—	—	—	2	12
023	Qwen2-7B-Instruct	Qwen	—	—	—	2	12
024	Qwen3-VL-235B-A22B-Thinking	Qwen	—	—	—	12	12
025	Qwen3-VL-8B-Instruct	Qwen	—	—	—	12	12
026	QwQ-32B	Qwen	—	—	—	1	11
027	QwQ-32B-Preview	Qwen	—	—	—	1	11
028	Qwen1.5-14B-Chat	Qwen	—	—	—	2	11
029	Qwen2-1.5B	Qwen	—	—	—	1	11
030	Qwen2.5-0.5B	Qwen	—	—	—	1	11
031	Qwen2.5-1.5B	Qwen	—	—	—	1	11
032	Qwen2.5-14B	Qwen	—	—	—	1	11
033	Qwen2.5-7B	Qwen	—	—	—	1	11
034	Qwen3-0.6B	Qwen	—	—	—	1	11
035	Qwen3-1.7B	Qwen	—	—	—	1	11
036	Qwen3-14B	Qwen	—	—	—	1	11
037	Qwen3-32B	Qwen	—	—	—	1	11
038	Qwen3-4B	Qwen	—	—	—	1	11
039	Qwen3-8B	Qwen	—	—	—	1	11
040	Qwen2.5-3B	Qwen	—	—	—	1	10
041	Qwen2.5-72B	Qwen	—	—	—	1	10
042	Qwen3-Coder-Next	Qwen	—	—	—	6	6
043	🚧Qwen3-30B-A3B	Qwen	—	—	—	1	6
044	Qwen/Qwen2.5-0.5B-Instruct	Qwen	0.49B	—	—	1	5
045	Qwen/Qwen3-14B non-thinking (API)	Qwen	14B	—	—	1	5
046	Qwen/Qwen3-235B-A22B non-thinking (API)	Qwen	235B	—	—	1	5
047	Qwen/Qwen3-30B-A3B non-thinking (API)	Qwen	30B	—	—	1	5
048	Qwen/Qwen3-32B non-thinking (API)	Qwen	32B	—	—	1	5
049	Qwen/Qwen3-8B non-thinking (API)	Qwen	8B	—	—	1	5
050	Qwen/Qwen3.5-27B non-thinking (API)	Qwen	27B	—	—	1	5