Value ranking

Best Value LLMs for Coding in October 2026

As of October 2026, Mercury 2.5 gives the most coding performance per dollar: 39.5 points at a blended $0.07 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 coding ranking.

Best Value LLMs for Coding: top 10
  1. Mercury 2.5 585.2 pts/$
  2. Nemotron 3 Nano 30B A3B 462.9 pts/$
  3. Nemotron 3.5 Lightning 461.6 pts/$
  4. Granite 4.2 8B 377.1 pts/$
  5. Gemma 4 26B A4B IT 365.4 pts/$
  6. Hy3 324.4 pts/$
  7. MiMo-V2.6-Flash 305.3 pts/$
  8. Step 3.5 Flash 282.4 pts/$
  9. GLM-4.7-Flash 280.2 pts/$
  10. GPT-6 Luna 277.4 pts/$

Full ranking

Best Value LLMs for Coding
#ModelScoreInput $/MOutput $/MPoints per $
1Mercury 2.539.5$0.04$0.15585.2
2Nemotron 3 Nano 30B A3B40.5$0.05$0.20462.9
3Nemotron 3.5 Lightning40.4$0.05$0.20461.6
4Granite 4.2 8B40.5$0.06$0.25377.1
5Gemma 4 26B A4B IT39.0$0.0675$0.23365.4
6Hy346.8$0.0825$0.33324.4
7MiMo-V2.6-Flash53.4$0.14$0.28305.3
8Step 3.5 Flash42.4$0.10$0.30282.4
9GLM-4.7-Flash40.6$0.06$0.40280.2
10GPT-6 Luna55.5$0.10$0.50277.4
11Gemma 4 31B IT42.3$0.09$0.34277.2
12Devstral Small 250538.9$0.10$0.30259.5
13MiMo-V2.543.9$0.14$0.28251.1
14MiMo-V2-Omni43.3$0.14$0.28247.7
15Claude Haiku 5.549.2$0.10$0.50245.9
16Nemotron 3 Super39.4$0.08$0.45228.2
17GLM-5.3-Flash53.1$0.15$0.50223.5
18DeepSeek V4.1 Flash52.9$0.15$0.60201.6
19DeepSeek V4 Flash47.9$0.15$0.60182.6
20DeepSeek-V3.2-Exp46.5$0.26$0.38160.4
21GPT-5.6 Luna54.5$0.20$1.20121.1
22DeepSeek-V342.3$0.24$0.90104.5
23MiMo-V2.6-Pro55.5$0.43$0.87102.2
24Nvidia Llama 3.3 Nemotron Super 49b v1.539.8$0.40$0.4099.4
25Step 3.7 Flash40.0$0.18$1.1196.0
26DeepSeek-V3.140.3$0.25$0.9594.9
27GPT-5.4 nano43.6$0.20$1.2594.3
28DeepSeek-V3.1-Terminus42.0$0.27$192.9
29MiniMax-M2.548.1$0.30$1.2091.5
30GLM-4.6V40.9$0.30$0.9090.8
31MiMo-V2.5-Pro47.4$0.43$0.8787.2
32MiMo-V2-Pro43.8$0.43$0.8780.5
33MiniMax-M341.8$0.30$1.2079.6
34MiniMax-M2.741.8$0.30$1.2079.5
35MiniMax-M2.140.4$0.30$1.2076.9
36Solar Pro440.1$0.30$1.2076.4
37MiniMax-M239.3$0.30$1.2074.8
38Inkling-Small43.6$0.45$1.2068.4
39Qwen Plus38.9$0.40$1.2064.8
40GPT-5 Mini40.1$0.25$258.4
41Kimi K2.548.8$0.45$2.2554.2
42DeepSeek V4 Pro52.4$0.66$1.9853.0
43DeepSeek-R146.3$0.50$2.1550.7
44Gemini 3.5 Flash Lite42.4$0.30$2.5049.8
45Qwen3-Next 80B-A3B Instruct42.5$0.50$248.6
46Nova 2 Lite40.7$0.30$2.5047.9
47DeepSeek-V3.2-Speciale40.4$0.58$1.6847.2
48Qwen3.5 27B38.9$0.30$2.4047.1
49Mistral Large 448.6$0.68$2.0947.1
50Hy4 preview51.6$0.75$2.2545.8
51Qwen3.8 27B50.5$0.99$1.4945.3
52Gemini 3 Flash Preview50.9$0.50$345.3
53GLM-4.744.0$0.60$2.2044.0
54GLM-4.5V39.5$0.60$1.8043.9
55Kimi K2 (Jul 2025)42.4$0.57$2.3042.3
56MiniMax M139.9$0.55$2.2041.4
57GLM-4.541.4$0.60$2.2041.4
58GLM-4.640.1$0.60$2.2040.1
59Gemini 3.8 Flash59.2$0.75$3.7539.5
60Seed 2.0 Pro43.5$0.50$338.7
61Gemini 3.7 Flash56.2$0.75$3.7537.5
62Step 5 Preview51.8$1$2.7036.3
63Qwen3.6 Plus40.8$0.50$336.3
64Qwen3 235B-A22B44.3$0.70$2.8036.1
65Qwen3.5 122B-A10B39.1$0.40$3.2035.6
66Qwen3-VL 235B-A22B42.4$0.70$2.8034.6
67Grok Build 0.143.1$1$234.5
68Gemini 3.6 Flash50.0$0.75$3.7533.4
69GLM-549.0$1$3.2031.6
70Qwen3.5 397B-A17B42.0$0.60$3.6031.1
71Kimi K2.650.7$0.95$429.6
72Qwen3.6 27B39.1$0.60$3.6029.0
73Muse Spark 1.356.6$1.25$4.2528.3
74GLM-5.359.5$1.40$4.4027.7
75Grok 4.20 Multi-Agent43.0$1.25$2.5027.6
76Grok 4.20 (Non-Reasoning)42.1$1.25$2.5026.9
77GPT-5.4 mini45.2$0.75$4.5026.8
78Grok 4.341.6$1.25$2.5026.6
79Muse Spark 1.151.3$1.25$4.2525.6
80Kimi K2.7 Code42.9$0.95$425.0
81Muse Spark 1.249.2$1.25$4.2524.6
82GLM-5.251.3$1.40$4.4023.8
83GLM-5.148.7$1.40$4.4022.6
84GLM-5V-Turbo42.1$1.20$422.1
85Claude Haiku 4.544.0$1$522.0
86o4-mini40.9$1.10$4.4021.3
87o3-mini40.8$1.10$4.4021.2
88Grok 4.658.5$2$619.5
89Grok 4.758.0$2$619.3
90Qwen3 Max43.0$1.20$617.9
91Qwen3.8 Max53.5$2$617.8
92Grok 4.552.2$2$617.4
93Claude Sonnet 5.567.3$2$1016.8
94Qwen3.6 Max Preview48.7$1.30$7.8016.7
95GPT-6.1 Sol63.2$2$1015.8
96GPT-6 Sol60.1$2$1015.0
97Gemini 3.5 Flash49.4$1.50$914.6
98GPT-550.3$1.25$1014.6
99Magistral Medium39.1$2$514.2
100Claude Sonnet 555.5$2$1013.9
101GPT-5.146.4$1.25$1013.5
102Qwen3.7 Max50.4$2.50$7.5013.4
103o346.8$2$813.4
104GPT-5.6 Terra57.7$2$1212.8
105Gemini 2.5 Pro42.4$1.25$1012.3
106GPT-5-Codex42.4$1.25$1012.3
107GPT-5.1-Codex41.9$1.25$1012.2
108GPT-5.251.6$1.75$1410.7
109Kimi K361.0$3$1510.2
110GPT-5.3 Codex48.6$1.75$1410.1
111GPT-5.2 Codex45.5$1.75$149.5
112Gemini 3.1 Pro Preview42.5$2$129.4
113GPT-5.452.6$2.50$159.4
114Claude Opus 5.571.9$4$209.0
115GPT-5.3 Chat41.4$1.75$148.6
116GPT-5.6 Sol65.1$4$208.1
117Claude Sonnet 4.547.3$3$157.9
118Claude Sonnet 4.646.3$3$157.7
119Claude Sonnet 443.5$3$157.2
120Claude Opus 567.5$5$256.7
121Claude Opus 4.859.9$5$256.0
122Claude Opus 4.759.6$5$256.0
123Claude Opus 4.657.2$5$255.7
124Claude Opus 4.554.8$5$255.5
125GPT-5.558.2$5$305.2
126Claude Fable 5.174.7$10$503.7
127GPT-6 Astra73.7$10$503.7
128Claude Fable 570.6$10$503.5
129o146.1$15$601.8
130o3-pro55.5$20$801.6
131Claude Opus 447.2$15$751.6
132Claude Opus 4.144.4$15$751.5
133GPT-5 Pro44.0$15$1201.1
134GPT-5.4 Pro43.2$30$1800.6

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Frequently asked questions

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

As of October 2026, Mercury 2.5 gives the most coding performance per dollar: 39.5 points at a blended $0.07 per million tokens. Nemotron 3 Nano 30B A3B is next.

What are the top 5 in this ranking?

Mercury 2.5, Nemotron 3 Nano 30B A3B, Nemotron 3.5 Lightning, Granite 4.2 8B, Gemma 4 26B A4B IT, 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.