Value ranking

Best Value LLMs for Reasoning in October 2026

As of October 2026, Qwen3.7 Flash gives the most reasoning performance per dollar: 28.2 points at a blended $0.05 per million tokens. Nemotron 3 Nano 30B A3B is next.

Last verified

Category score per dollar of blended API price, among models in the top half of the reasoning ranking.

Best Value LLMs for Reasoning: top 10
  1. Qwen3.7 Flash 512.2 pts/$
  2. Nemotron 3 Nano 30B A3B 310.1 pts/$
  3. Nemotron 3.5 Lightning 306.6 pts/$
  4. Granite 4.2 8B 247.6 pts/$
  5. GPT-6 Luna 241.1 pts/$
  6. MiMo-V2.6-Flash 208.3 pts/$
  7. DeepSeek V4 Flash 204.6 pts/$
  8. GLM-5.3-Flash 201.9 pts/$
  9. Qwen3.5-Flash 192.8 pts/$
  10. DeepSeek V4.1 Flash 191.1 pts/$

Full ranking

Best Value LLMs for Reasoning
#ModelScoreInput $/MOutput $/MPoints per $
1Qwen3.7 Flash28.2$0.03$0.13512.2
2Nemotron 3 Nano 30B A3B27.1$0.05$0.20310.1
3Nemotron 3.5 Lightning26.8$0.05$0.20306.6
4Granite 4.2 8B26.6$0.06$0.25247.6
5GPT-6 Luna48.2$0.10$0.50241.1
6MiMo-V2.6-Flash36.5$0.14$0.28208.3
7DeepSeek V4 Flash53.7$0.15$0.60204.6
8GLM-5.3-Flash48.0$0.15$0.50201.9
9Qwen3.5-Flash33.7$0.10$0.40192.8
10DeepSeek V4.1 Flash50.2$0.15$0.60191.1
11Hy326.1$0.0825$0.33180.8
12Gemma 4 31B IT27.2$0.09$0.34178.4
13Claude Haiku 5.535.2$0.10$0.50175.9
14MiMo-V2-Omni29.7$0.14$0.28169.9
15MiMo-V2.528.6$0.14$0.28163.7
16Grok 4.1 Fast43.4$0.20$0.50157.6
17MiMo-V2-Flash24.9$0.14$0.28142.1
18GPT-5.6 Luna47.6$0.20$1.20105.9
19MiMo-V2.6-Pro43.1$0.43$0.8779.4
20Qwen3.6 Flash29.0$0.19$1.1368.7
21Nvidia Llama 3.3 Nemotron Super 49b v1.526.8$0.40$0.4067.0
22DeepSeek-V3.127.9$0.25$0.9565.7
23Mercury 223.8$0.25$0.7563.5
24GLM-4.6V27.6$0.30$0.9061.4
25Inkling-Small38.6$0.45$1.2060.6
26DeepSeek-V3.1-Terminus26.4$0.27$158.4
27MiniMax-M330.1$0.30$1.2057.3
28DeepSeek V4 Pro56.5$0.66$1.9857.0
29GLM-4.5-Air24.1$0.20$1.1056.6
30Qwen3.7 Plus39.3$0.40$1.6056.1
31Solar Pro428.5$0.30$1.2054.2
32GPT-5.4 nano23.7$0.20$1.2551.3
33Gemini 3.8 Flash76.9$0.75$3.7551.2
34Qwen3.6 35B-A3B28.0$0.25$1.4950.2
35MiMo-V2.5-Pro26.8$0.43$0.8749.2
36Qwen Plus28.4$0.40$1.2047.3
37Gemini 3.7 Flash70.0$0.75$3.7546.7
38Gemini 3 Flash Preview49.2$0.50$343.7
39Gemini 3.6 Flash58.8$0.75$3.7539.2
40DeepSeek-V3.2-Speciale32.9$0.58$1.6838.5
41Qwen3.8 27B41.0$0.99$1.4936.8
42Qwen3.5 Plus32.8$0.40$2.4036.5
43Qwen3.5 35B-A3B24.6$0.25$235.7
44Qwen3-Next 80B-A3B Instruct31.1$0.50$235.5
45GPT-5 Mini23.9$0.25$234.8
46Kimi K2.531.2$0.45$2.2534.7
47Nemotron 3 Ultra31.0$0.50$2.2033.5
48Grok 4.20 (Non-Reasoning)52.3$1.25$2.5033.5
49Qwen3.5 27B27.5$0.30$2.4033.4
50Gemini 3.5 Flash Lite27.8$0.30$2.5032.7
51Nova 2 Lite27.5$0.30$2.5032.4
52GLM-4.5V27.4$0.60$1.8030.4
53GLM-4.528.6$0.60$2.2028.6
54Hy4 preview31.9$0.75$2.2528.3
55Step 5 Preview40.0$1$2.7028.1
56Grok 4.20 Multi-Agent43.9$1.25$2.5028.1
57MiniMax M126.9$0.55$2.2027.9
58Muse Spark 1.354.0$1.25$4.2527.0
59Qwen3.6 Plus29.3$0.50$326.0
60Grok Build 0.132.2$1$225.8
61Muse Spark 1.251.3$1.25$4.2525.6
62Qwen3.5 397B-A17B34.5$0.60$3.6025.5
63Qwen3.5 122B-A10B27.2$0.40$3.2024.7
64GLM-4.724.3$0.60$2.2024.3
65Qwen3-VL 235B-A22B29.3$0.70$2.8023.9
66GLM-4.623.7$0.60$2.2023.7
67Kimi K2.640.5$0.95$423.7
68Muse Spark 1.147.1$1.25$4.2523.6
69Grok 4.335.9$1.25$2.5023.0
70Kimi K2.7 Code39.0$0.95$422.8
71GLM-5.346.1$1.40$4.4021.4
72Seed 2.0 Pro24.1$0.50$321.4
73GPT-6.1 Sol81.9$2$1020.5
74Grok 4.661.4$2$620.5
75GLM-5.242.3$1.40$4.4019.7
76Grok 4.556.1$2$618.7
77Gemini 3.5 Flash62.8$1.50$918.6
78Qwen3.6 27B25.0$0.60$3.6018.5
79GPT-6 Sol74.0$2$1018.5
80GLM-5.139.1$1.40$4.4018.2
81Qwen3.8 Max54.4$2$618.1
82GPT-5.4 mini30.4$0.75$4.5018.0
83GLM-527.6$1$3.2017.8
84Grok 4.749.1$2$616.4
85Gemini 3.1 Pro Preview71.7$2$1215.9
86Inkling40.4$1.87$4.6815.7
87GLM-5V-Turbo29.7$1.20$415.6
88Qwen3.6 Max Preview41.7$1.30$7.8014.2
89Claude Sonnet 5.554.0$2$1013.5
90GPT-5.6 Terra60.7$2$1213.5
91Qwen3.7 Max49.2$2.50$7.5013.1
92o4-mini24.6$1.10$4.4012.8
93Claude Sonnet 549.1$2$1012.3
94GPT-5.139.8$1.25$1011.6
95GPT-538.3$1.25$1011.1
96GPT-5.461.8$2.50$1511.0
97Kimi K363.0$3$1510.5
98GPT-5.250.2$1.75$1410.4
99Claude Opus 5.580.2$4$2010.0
100GPT-5.6 Sol74.8$4$209.3
101o332.0$2$89.1
102GPT-5-Codex30.9$1.25$109.0
103Qwen Max25.1$1.60$6.409.0
104Qwen3-Coder 480B-A35B Instruct25.5$1.50$7.508.5
105Gemini 2.5 Pro28.8$1.25$108.4
106Mistral Medium24.0$1.50$7.508.0
107Claude Opus 577.2$5$257.7
108Claude Sonnet 4.646.1$3$157.7
109Claude Opus 4.864.7$5$256.5
110GPT-5.572.8$5$306.5
111GPT-5.3 Chat28.5$1.75$145.9
112Claude Opus 4.657.8$5$255.8
113Claude Opus 4.753.8$5$255.4
114Claude Sonnet 4.526.9$3$154.5
115Claude Opus 4.542.6$5$254.3
116GPT-6 Astra85.1$10$504.3
117Claude Fable 576.8$10$503.8
118Claude Fable 5.176.7$10$503.8
119GPT-5.5 Pro73.3$30$1801.1
120Claude Opus 4.132.2$15$751.1
121o127.9$15$601.1
122GPT-5.4 Pro70.7$30$1801.0
123GPT-5 Pro38.9$15$1200.9
124Claude Opus 427.3$15$750.9
125GPT-5.2 Pro51.5$21$1680.9
126o3-pro23.8$20$800.7

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Frequently asked questions

What is the most cost-effective AI model for reasoning?

As of October 2026, Qwen3.7 Flash gives the most reasoning performance per dollar: 28.2 points at a blended $0.05 per million tokens. Nemotron 3 Nano 30B A3B is next.

What are the top 5 in this ranking?

Qwen3.7 Flash, Nemotron 3 Nano 30B A3B, Nemotron 3.5 Lightning, Granite 4.2 8B, GPT-6 Luna, in that order, as of October 2026.

How is this list ranked?

By score per dollar: the model’s score divided by its blended API price (three parts input to one part output), among models in the top half by score.