Best AI Models for Reasoning

Q: Which AI model has the best reasoning?

Reasoning rankings shift as new models launch. The live leaderboard above shows current standings based on GPQA Diamond, ARC-AGI, and other reasoning benchmarks.

Q: What is GPQA Diamond?

GPQA Diamond is a graduate-level question answering benchmark designed to test deep reasoning. Questions are written by domain experts and verified to be answerable only with genuine understanding.

Q: How does ARC-AGI measure reasoning?

ARC-AGI tests abstract reasoning through visual pattern puzzles that require novel inference, not memorization. It is considered one of the hardest AI benchmarks.

AI models ranked by reasoning benchmarks. Compare GPQA Diamond, ARC-AGI, BBH, and other reasoning tests across all providers.

135

Models

Providers

Open Source

$0.66

Median $/1M in

Top 3

Claude Mythos Preview

🇺🇸 Anthropic

1.0MN/A/M in

81.814 benchmarks

Full Rankings

#	Model	Avg	ARC-AGI	ARC-AGI-2	BBH	GPQA diamond	HLE	SimpleBench	$/1M in	Context
1	GPT-5.5 Pro🇺🇸 OpenAI	87.8	-	-	-	94.2	-	-	$30.00	400K
2	GPT-5.5🇺🇸 OpenAI	85.0	95.0	-	-	93.6	-	-	$5.00	400K
3	Claude Mythos Preview🇺🇸 Anthropic	81.8	-	-	-	94.5	56.8	-	N/A	1.0M
4	DeepSeek-V2 (MoE-236B, May 2024)🇨🇳 DeepSeekOpen	76.5	-	-	71.7	-	-	-	N/A	0K
5	phi-3-small 7.4B🇺🇸 MicrosoftOpen	67.4	-	-	72.1	-	-	-	N/A	0K
6	GPT-5.4 Pro🇺🇸 OpenAI	66.7	94.5	83.3	-	92.8	-	68.9	$30.00	1.1M
7	o3 Pro🇺🇸 OpenAI	61.2	59.3	4.9	-	-	-	-	$20.00	200K
8	phi-3-mini 3.8B🇺🇸 MicrosoftOpen	61.0	-	-	62.3	-	-	-	N/A	0K
9	Qwen-14B🇨🇳 Alibaba QwenOpen	60.7	-	-	40.0	-	-	-	N/A	0K
10	Gemini 3.1 Pro Preview🇺🇸 Google DeepMind	60.6	98.0	77.1	-	92.1	-	75.5	$2.00	1.0M
11	Gemini 3 Pro🇺🇸 Google DeepMind	60.5	75.0	31.1	-	90.2	34.4	71.7	N/A	0K
12	DeepSeek V3🇨🇳 DeepSeekOpen	59.0	-	-	83.3	42.0	-	2.7	$0.32	164K
13	GPT-5.4🇺🇸 OpenAI	59.0	93.7	74.0	-	91.1	-	-	$2.50	1.1M
14	U Muse Spark Unknown	59.0	-	-	-	86.4	-	-	N/A	0K
15	phi-3-medium 14B🇺🇸 MicrosoftOpen	58.6	-	-	75.2	3.5	-	-	N/A	0K
16	Qwen3 Max🇨🇳 Alibaba QwenOpen	58.3	-	-	-	63.5	-	-	$0.78	262K
17	Falcon 2 11B TIIOpen	58.0	-	-	-	-	-	-	N/A	0K
18	R1 0528🇨🇳 DeepSeekOpen	57.9	21.2	1.1	-	68.4	-	29.0	$0.50	164K
19	Mixtral 8x7B Instruct🇫🇷 Mistral AIOpen	57.8	-	-	-	7.5	-	-	$0.54	33K
20	GLM 5🇨🇳 z-aiOpen	57.6	44.7	4.9	-	83.8	-	43.8	$0.60	203K
21	Claude Opus 4.6🇺🇸 Anthropic	57.5	94.0	69.2	-	87.4	31.1	61.1	$5.00	1.0M
22	o1🇺🇸 OpenAI	56.4	30.7	-	-	69.0	-	28.1	$15.00	200K
23	Qwen3 235B A22B🇨🇳 Alibaba QwenOpen	56.4	-	-	-	60.9	-	17.2	$0.46	131K
24	Gemini 2.5 Pro🇺🇸 Google DeepMind	56.2	41.0	4.9	-	80.4	17.7	54.9	$1.25	1.0M
25	GPT-5.2 Pro🇺🇸 OpenAI	56.2	90.5	54.2	-	-	-	48.9	$21.00	400K
26	Kimi K2 0711🇨🇳 moonshotaiOpen	56.2	-	-	-	-	-	11.6	$0.57	131K
27	GPT-5 Mini🇺🇸 OpenAI	56.0	54.3	4.4	-	66.7	15.4	-	$0.25	400K
28	Qwen3 235B A22B Thinking 2507🇨🇳 Alibaba QwenOpen	55.9	-	-	-	73.4	-	-	$0.15	131K
29	o3🇺🇸 OpenAI	55.2	60.8	6.5	-	75.8	16.3	43.7	$2.00	200K
30	MiniMax M2.5🇨🇳 minimaxOpen	55.1	63.7	4.9	-	-	-	-	$0.15	197K
31	GPT-4 (older v0314)🇺🇸 OpenAI	55.0	-	-	-	14.3	-	-	$30.00	8K
32	Grok 4🇺🇸 xAI	54.8	66.7	16.0	-	82.7	-	52.6	$3.00	256K
33	GPT-5🇺🇸 OpenAI	54.4	65.7	9.9	-	81.6	21.6	48.0	$1.25	400K
34	GPT-5.2🇺🇸 OpenAI	54.0	86.2	52.9	-	88.5	24.2	35.0	$1.75	400K
35	Gemini 2.0 Pro🇺🇸 Google DeepMind	53.7	-	-	-	54.2	-	-	N/A	0K
36	U Nemotron-4 15B Unknown	53.4	-	-	44.9	-	-	-	N/A	0K
37	Kimi K2 Thinking🇨🇳 moonshotaiOpen	53.3	-	-	-	79.0	-	-	$0.60	262K
38	o4 Mini🇺🇸 OpenAI	53.2	58.7	6.1	-	72.8	13.9	26.4	$1.10	200K
39	Qwen2.5 72B Instruct🇨🇳 Alibaba QwenOpen	53.2	-	-	73.1	32.2	-	-	$0.36	33K
40	Qwen2.5 Coder 32B Instruct🇨🇳 Alibaba QwenOpen	53.1	-	-	-	-	-	-	$0.66	33K
41	DeepSeek V3.2🇨🇳 DeepSeekOpen	53.0	57.0	4.0	-	77.9	-	-	$0.25	131K
42	Kimi K2.5🇨🇳 moonshotaiOpen	52.0	65.3	11.8	-	83.5	20.6	36.2	$0.44	262K
43	DeepSeek V3.1🇨🇳 DeepSeekOpen	51.1	-	-	-	-	-	28.0	$0.15	33K
44	GPT-4o (2024-05-13)🇺🇸 OpenAI	51.1	-	-	-	31.9	-	-	$5.00	128K
45	GPT-4 Turbo🇺🇸 OpenAI	51.0	-	-	66.8	7.5	-	10.1	$10.00	128K
46	GLM 4.7🇨🇳 z-aiOpen	50.5	-	-	-	77.8	-	37.2	$0.38	203K
47	Grok 4 Fast🇺🇸 xAI	50.4	48.5	5.3	-	-	-	-	$0.20	2.0M
48	GPT-5.1🇺🇸 OpenAI	49.6	72.8	17.6	-	83.5	19.8	43.8	$1.25	400K
49	Gemini 3 Flash Preview🇺🇸 Google DeepMind	49.1	21.5	33.6	-	77.6	-	53.3	$0.50	1.0M
50	Qwen3 235B A22B Instruct 2507🇨🇳 Alibaba QwenOpen	48.5	11.0	1.3	-	-	-	-	$0.07	262K
51	Gemini 2.0 Flash🇺🇸 Google DeepMind	48.0	-	1.3	-	52.2	-	17.3	$0.10	1.0M
52	U Stable Beluga 2 Unknown	47.8	-	-	59.1	-	-	-	N/A	0K
53	Claude 3.7 Sonnet🇺🇸 Anthropic	47.7	28.6	0.9	-	73.0	3.4	35.7	$3.00	200K
54	Claude Sonnet 4.6🇺🇸 Anthropic	47.6	86.5	60.4	-	83.2	-	-	$3.00	1.0M
55	Gemini 1.5 Flash (May 2024)🇺🇸 Google DeepMind	47.4	-	-	-	20.5	-	-	N/A	0K
56	gpt-oss-120b🇺🇸 OpenAIOpen	46.9	-	-	-	67.7	-	6.5	$0.04	131K
57	Grok 3 Mini🇺🇸 xAI	46.6	16.5	0.4	-	68.3	-	-	$0.30	131K
58	GPT-3.5 Turbo (older v0613)🇺🇸 OpenAI	45.8	-	-	48.8	2.9	-	-	$1.00	4K
59	Mistral Large 2411🇫🇷 Mistral AIOpen	45.8	-	-	-	35.1	-	-	$2.00	131K
60	Claude Opus 4.5🇺🇸 Anthropic	45.4	80.0	37.6	-	81.4	21.4	54.4	$5.00	200K
61	GPT-5 Nano🇺🇸 OpenAI	45.3	20.7	2.6	-	59.3	-	-	$0.05	400K
62	R1🇨🇳 DeepSeekOpen	45.1	15.8	1.3	-	62.3	-	17.1	$0.70	64K
63	Claude Sonnet 4🇺🇸 Anthropic	44.6	40.0	5.9	-	72.3	3.1	34.6	$3.00	1.0M
64	GPT-4.1 Mini🇺🇸 OpenAI	44.5	3.5	0.1	-	54.5	-	-	$0.40	1.0M
65	Falcon-180B TIIOpen	44.4	-	-	16.1	-	-	-	N/A	0K
66	Qwen2.5 Coder 7B Instruct🇨🇳 Alibaba QwenOpen	44.4	-	-	-	-	-	-	$0.03	33K
67	GPT-4.1🇺🇸 OpenAI	43.3	5.5	0.4	-	55.9	0.6	12.4	$2.00	1.0M
68	GPT-5 Pro🇺🇸 OpenAI	43.3	70.2	18.3	-	-	28.2	53.9	$15.00	400K
69	GPT-4o-mini (2024-07-18)🇺🇸 OpenAI	43.2	-	0.1	-	17.0	-	-	$0.15	128K
70	Phi 4🇺🇸 MicrosoftOpen	43.2	-	-	-	41.4	-	-	$0.07	16K
71	Llama 2-13B🇺🇸 MetaOpen	42.5	-	-	44.3	1.8	-	-	N/A	0K
72	Claude 3.5 Sonnet🇺🇸 Anthropic	42.3	-	-	-	38.7	-	13.0	N/A	0K
73	Gemma 3 27B🇺🇸 Google DeepMindOpen	42.2	-	-	-	31.8	-	-	$0.08	131K
74	Gemma 3 27B (free)🇺🇸 Google DeepMindOpen	42.2	-	-	-	31.8	-	-	Free	131K
75	Claude Sonnet 4.5🇺🇸 Anthropic	42.1	63.7	13.6	-	76.4	9.4	45.2	$3.00	1.0M
76	Claude Opus 4🇺🇸 Anthropic	41.7	35.7	8.6	-	68.3	6.2	50.6	$15.00	200K
77	Mistral 7B V0.1🇫🇷 Mistral AIOpen	41.6	-	-	41.5	-	-	-	N/A	0K
78	o1-preview🇺🇸 OpenAI	41.5	18.0	-	-	33.8	-	30.0	N/A	0K
79	Claude Opus 4.1🇺🇸 Anthropic	41.3	-	-	-	69.7	7.1	52.0	$15.00	200K
80	Gemini 1.5 Pro (Feb 2024)🇺🇸 Google DeepMind	41.3	-	0.8	78.7	27.8	-	12.5	N/A	0K
81	Qwen2-72B🇨🇳 Alibaba QwenOpen	41.3	-	-	-	21.0	-	-	N/A	0K
82	Qwen2.5-Max🇨🇳 Alibaba QwenOpen	41.0	-	-	-	41.5	-	-	N/A	0K
83	U Baichuan 2-7B Unknown	40.3	-	-	22.1	-	-	-	N/A	0K
84	Gemini 2.5 Flash🇺🇸 Google DeepMind	40.0	32.3	2.5	-	-	7.7	29.4	$0.30	1.0M
85	Mistral Medium 3🇫🇷 Mistral AIOpen	40.0	-	-	-	46.0	-	-	$0.40	131K
86	GPT-4o-mini🇺🇸 OpenAI	39.6	-	0.1	-	17.0	-	-	$0.15	128K
87	Mistral Large 2407🇫🇷 Mistral AIOpen	39.1	-	-	-	32.0	-	7.0	$2.00	131K
88	Qwen2.5 Coder 1.5B Instruct🇨🇳 AlibabaOpen	38.8	-	-	-	-	-	-	N/A	0K
89	Grok 3🇺🇸 xAI	38.4	5.5	0.1	-	67.7	-	23.3	$3.00	131K
90	o3 Mini🇺🇸 OpenAI	38.4	34.5	3.0	-	69.4	-	7.4	$1.10	200K
91	Llama 3.1 405B🇺🇸 MetaOpen	38.0	-	-	77.2	34.5	-	7.6	N/A	0K
92	Llama 3.1 70B Instruct🇺🇸 MetaOpen	37.8	-	-	-	25.6	-	-	$0.40	131K
93	Gemini 2.0 Flash Thinking (Jan 2025)🇺🇸 Google DeepMind	37.7	-	-	-	42.8	1.9	16.8	N/A	0K
94	GPT-4o (2024-11-20)🇺🇸 OpenAI	37.7	4.5	0.1	-	32.3	-	1.4	$2.50	128K
95	Claude 2🇺🇸 Anthropic	37.2	-	-	-	12.9	-	-	N/A	0K
96	Claude 3.5 Haiku🇺🇸 Anthropic	37.2	-	-	-	17.5	-	-	$0.80	200K
97	Mistral Nemo🇫🇷 Mistral AIOpen	37.2	-	-	-	6.5	-	-	$0.02	131K
98	Claude Haiku 4.5🇺🇸 Anthropic	37.1	47.7	4.0	-	61.6	-	-	$1.00	200K
99	Llama 3.2 90B🇺🇸 MetaOpen	36.1	-	-	-	21.4	-	-	N/A	0K
100	Gemma 2 9B🇺🇸 Google DeepMindOpen	36.0	-	-	-	3.3	-	-	$0.03	8K
101	GPT-4.5🇺🇸 OpenAI	35.9	10.3	0.8	-	58.3	0.7	21.4	N/A	0K
102	GPT-4o (2024-08-06)🇺🇸 OpenAI	35.6	-	-	-	32.3	-	1.4	$2.50	128K
103	GPT-4.1 Nano🇺🇸 OpenAI	35.2	0.1	0.1	-	31.9	-	-	$0.10	1.0M
104	LLaMA-13B🇺🇸 MetaOpen	34.9	-	-	17.2	-	-	-	N/A	0K
105	o1-mini🇺🇸 OpenAI	34.9	14.0	0.8	-	49.8	-	1.7	N/A	0K
106	U XGen-7B Unknown	33.9	-	-	-	-	-	-	N/A	0K
107	Claude 3 Opus🇺🇸 Anthropic	33.7	-	-	-	29.6	-	8.2	N/A	0K
108	Grok-2 (Dec 2024)🇺🇸 xAI	33.2	-	-	-	38.4	-	7.2	N/A	0K
109	Gemma 2 27B🇺🇸 Google DeepMindOpen	32.9	-	-	-	15.3	-	-	$0.65	8K
110	Llama 3 70B Instruct🇺🇸 MetaOpen	32.4	-	-	-	20.8	-	-	$0.51	8K
111	U MPT-30B Unknown	31.7	-	-	17.3	-	-	-	N/A	0K
112	U Yi 6B UnknownOpen	31.4	-	-	29.6	-	-	-	N/A	0K
113	Llama 3 8B Instruct🇺🇸 MetaOpen	30.8	-	-	-	1.4	-	-	$0.03	8K
114	Phi 2🇺🇸 MicrosoftOpen	30.2	-	-	45.9	-	-	-	N/A	0K
115	Mistral Large🇫🇷 Mistral AIOpen	30.0	-	-	-	18.4	-	7.0	$2.00	128K
116	U Dolly 2.0-12b Unknown	29.2	-	-	-	-	-	-	N/A	0K
117	Gemma 2B🇺🇸 Google DeepMindOpen	29.1	-	-	13.6	-	-	-	N/A	0K
118	Llama 3.3 70B Instruct (free)🇺🇸 MetaOpen	29.1	-	-	-	29.9	-	3.9	Free	66K
119	Claude 3 Haiku🇺🇸 Anthropic	28.7	-	-	-	15.1	-	-	$0.25	200K
120	Claude 3 Sonnet🇺🇸 Anthropic	28.3	-	-	-	20.8	-	-	N/A	0K
121	Llama 4 Maverick🇺🇸 MetaOpen	28.0	4.4	0.1	-	56.0	0.9	13.2	$0.15	1.0M
122	Llama 3.1 8B Instruct🇺🇸 MetaOpen	27.4	-	-	-	1.3	-	-	$0.02	16K
123	DeepSeek Coder 33B🇨🇳 DeepSeekOpen	25.4	-	-	-	-	-	-	N/A	0K
124	U StarCoder 2 15B UnknownOpen	24.3	-	-	-	-	-	-	N/A	0K
125	U Baichuan1-7B Unknown	23.7	-	-	10.0	-	-	-	N/A	0K
126	Mixtral 8x22B Instruct🇫🇷 Mistral AIOpen	23.5	-	-	-	12.1	-	-	$2.00	66K
127	Cerebras-GPT-13B🇺🇸 OpenAI	23.4	-	-	-	-	-	-	N/A	0K
128	Gemini 1.0 Pro🇺🇸 Google DeepMind	21.1	-	-	-	11.9	-	-	N/A	0K
129	Claude 2.1🇺🇸 Anthropic	21.0	-	-	-	10.6	-	-	N/A	0K
130	U INTELLECT-1 Unknown	20.2	-	-	13.1	-	-	-	N/A	0K
131	Llama 4 Scout🇺🇸 MetaOpen	18.9	0.5	0.1	-	35.8	-	-	$0.08	328K
132	DeepSeek Coder 6.7B🇨🇳 DeepSeekOpen	16.7	-	-	-	-	-	-	N/A	0K
133	U Magistral Small 1.1 Unknown	16.6	5.0	0.1	-	31.2	-	-	N/A	0K
134	Phi-1.5🇺🇸 MicrosoftOpen	16.3	-	-	-	-	-	-	N/A	0K
135	DeepSeek Coder 1.3B🇨🇳 DeepSeekOpen	3.2	-	-	-	-	-	-	N/A	0K

90+ Gold 80-89 70-79 60-69 <60Scores in % unless noted. Avg = unweighted mean across tested benchmarks.

About this category

Models ranked by reasoning performance across GPQA Diamond, ARC-AGI, BBH, and other logic and reasoning benchmarks. These tests measure abstract thinking, pattern recognition, and multi-step inference.

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Frequently asked questions

Which AI model has the best reasoning?

Reasoning rankings shift as new models launch. The live leaderboard above shows current standings based on GPQA Diamond, ARC-AGI, and other reasoning benchmarks.

What is GPQA Diamond?

GPQA Diamond is a graduate-level question answering benchmark designed to test deep reasoning. Questions are written by domain experts and verified to be answerable only with genuine understanding.

How does ARC-AGI measure reasoning?

ARC-AGI tests abstract reasoning through visual pattern puzzles that require novel inference, not memorization. It is considered one of the hardest AI benchmarks.

Back to all models