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 · Computer Code models

152 models in Computer Code · page 1 of 4.

#	Model	Vendor	Parameters	Architecture	Benchmarks	Results
001	GPT-4o	OpenAI	Undisclosed	Multimodal LLM	45	57
002	Claude 3.5 Sonnet	Anthropic	Undisclosed	Multimodal LLM	27	32
003	Claude Opus 4	Anthropic	Undisclosed	—	16	23
004	Claude Sonnet 4	Anthropic	—	Multimodal LLM	15	21
005	Gemini 1.5 Pro	Google	—	Multimodal LLM	17	21
006	Qwen3-235B-A22B	Alibaba	235B (22B active)	moe	13	21
007	Qwen3.5-397B-A17B	Alibaba	—	—	14	20
008	DeepSeek R1	DeepSeek	671B MoE	—	13	19
009	GLM-5	Zhipu AI	130B	—	9	19
010	o3	OpenAI	—	—	18	19
011	meta-llama/Llama-3.3-70B-Instruct	Meta	70.6B	—	4	18
012	Phi-4	Microsoft	14B	transformer	3	17
013	Gemini 2.5 Pro	Google	—	Multimodal LLM	15	16
014	Kimi-K2.5	Moonshot.AI	—	—	10	16
015	o4-mini	OpenAI	—	—	16	16
016	Qwen3.5-122B-A10B	Alibaba	—	—	10	16
017	Qwen3.5-27B	Alibaba	—	—	10	16
018	Qwen3.5-35B-A3B	Alibaba	—	—	10	16
019	Claude Opus 4.6	Anthropic	—	—	6	15
020	DeepSeek-V3	DeepSeek	—	LLM	9	15
021	Grok 4	xAI	—	—	6	15
022	Llama 4 Maverick	Meta	400B total / 17B active (128 experts)	Mixture-of-Experts Transformer	9	15
023	Claude 3 Opus	Anthropic	—	—	8	14
024	DeepSeek-V3.2	DeepSeek	—	—	8	14
025	GLM-4.5	Zhipu AI	—	—	8	14
026	Qwen2.5-VL-72B	—	—	—	14	14
027	Claude Sonnet 4.6	Anthropic	—	—	5	13
028	Gemini 3 Pro	Google	Undisclosed	—	11	13
029	GLM-4.5-Air	Zhipu AI	—	—	7	13
030	GPT-4	OpenAI	—	Transformer (LLM)	6	13
031	GPT-4 Turbo	OpenAI	Undisclosed	—	6	13
032	Llama 3.1 405B	Meta	—	—	12	13
033	Claude Opus 4.5	Anthropic	Undisclosed	—	8	12
034	o1	OpenAI	—	—	10	12
035	Qwen3-VL-235B-A22B-Instruct	Alibaba	—	—	12	12
036	Qwen3-VL-235B-A22B-Thinking	Alibaba	—	—	12	12
037	Qwen3-VL-8B-Instruct	Alibaba	—	—	12	12
038	DeepSeek-V3.2-Speciale	DeepSeek	—	—	5	11
039	Gemma-3-27b	Google	27B	transformer	5	11
040	Llama 3 70B	Meta	—	LLM	11	11
041	MiniCPM-o 4.5-Instruct	—	—	—	11	11
042	MiniMax-M2.5	MiniMaxAI	—	—	5	11
043	Claude 3.7 Sonnet	Anthropic	—	—	10	10
044	DeepSeek-R1-0528	DeepSeek	—	—	4	10
045	GPT-5	OpenAI	—	—	9	10
046	Qwen3.6-27B	—	—	—	10	10
047	Qwen3.6-35B-A3B	—	—	—	10	10
048	SmoLM2 (1.7B)	—	—	—	10	10
049	Step-3.5-Flash Base	—	—	—	10	10
050	DeepSeek-Coder-V2-Instruct	DeepSeek	Unknown	MoE Transformer	7	9