Data story · proprietary

Best proprietary models in 2026: full ranking

The strongest proprietary models in the index, ranked by average benchmark score. 229 models fall into this group.

What the data shows

GPT-5.2 Pro leads the proprietary group at 89.6. The group median is 79.0.

The price range runs from $1.48 to $21.39 per million input tokens, so 'best' and 'cheapest' are different shortlists.

How to read the ranking

Proprietary models are API-only in this index. That simplifies operations but limits fine-tuning and on-prem deployment.

  • Check the licence before planning a deployment.
  • Compare hosted and self-hosted cost if open weights are available.
  • Test on your own data.
  • Keep a fallback from the other licensing group.

Best proprietary models

#ModelProviderInput / 1MOutput / 1MContextAvg score
1GPT-5.2 ProOpenAI$21.32$76.332,000,00089.6
2GPT-5.2 MaxOpenAI$21.39$90.691,000,00089.2
3Claude Opus 4.5 ProAnthropic$20.98$85.59200,00089.1
4GPT-5.1 ReasoningOpenAI$20.27$82.11400,00088.3
5Claude Opus 4.5 ReasoningAnthropic$20.91$108.132,000,00088.2
6GPT-5.2OpenAI$19.71$85.712,000,00088.0
7GPT-5.1 MaxOpenAI$20.50$103.982,000,00087.9
8Gemini 3 Pro MaxGoogle DeepMind$20.57$112.922,000,00087.9
9Grok 4 ReasoningxAI$19.67$93.292,000,00087.8
10GPT-5.1 ProOpenAI$19.77$100.32200,00087.8
11Claude Opus 4.5 MaxAnthropic$20.90$106.511,000,00087.8
12Claude Sonnet 4.5 ReasoningAnthropic$19.48$68.20400,00087.7
13Claude Opus 4.5Anthropic$19.42$75.27400,00087.7
14Gemini 3 Pro ReasoningGoogle DeepMind$19.69$98.36200,00087.5
15o4 ReasoningOpenAI$19.69$103.531,000,00087.5
16GPT-5.2 ReasoningOpenAI$20.98$102.781,000,00087.5
17GPT-5.2 VisionOpenAI$19.03$85.721,000,00087.4
18GPT-5.2 TurboOpenAI$20.73$96.051,000,00087.4
19o4 ProOpenAI$19.37$70.191,000,00087.3
20Gemini 3 Pro ProGoogle DeepMind$19.80$108.61200,00087.3
21Claude Sonnet 4.5 MaxAnthropic$19.90$95.471,000,00087.2
22Claude Sonnet 4.5 ProAnthropic$18.73$82.291,000,00086.7
23Grok 4 TurboxAI$19.21$87.371,000,00086.7
24o4 TurboOpenAI$19.34$82.192,000,00086.6
25Grok 4 MaxxAI$19.70$98.292,000,00086.6
26Grok 4xAI$17.90$84.75200,00086.5
27Gemini 3 Pro TurboGoogle DeepMind$19.62$89.91400,00086.4
28Qwen3-Max ProAlibaba Cloud$18.87$84.39400,00086.2
29o4 MaxOpenAI$19.51$93.982,000,00086.2
30Gemini 3 ProGoogle DeepMind$18.24$82.932,000,00086.1
31GPT-5.1 TurboOpenAI$19.19$89.832,000,00086.1
32Claude Sonnet 4.5Anthropic$17.84$70.50400,00086.0
33GPT-5.1OpenAI$19.01$69.842,000,00086.0
34Claude Opus 4.5 VisionAnthropic$17.70$74.84200,00085.9
35Qwen3-Max MaxAlibaba Cloud$18.53$74.05400,00085.9
36Qwen3-Max ReasoningAlibaba Cloud$18.12$81.942,000,00085.9
37Claude Sonnet 4.5 TurboAnthropic$18.37$81.651,000,00085.9
38Grok 3 MaxxAI$17.66$89.122,000,00085.9
39o3 ProOpenAI$17.89$81.48400,00085.8
40Claude Opus 4.5 TurboAnthropic$19.57$106.602,000,00085.7
41Gemini 3 Pro VisionGoogle DeepMind$17.59$68.83200,00085.5
42o4OpenAI$17.74$66.002,000,00085.4
43Grok 4 ProxAI$19.00$77.721,000,00085.4
44o3 ReasoningOpenAI$18.07$70.65200,00085.3
45GPT-4.1 ProOpenAI$17.56$91.14400,00085.2
46Gemini 3 Flash MaxGoogle DeepMind$17.43$63.421,000,00085.0
47Gemini 2.5 Pro MaxGoogle DeepMind$16.94$64.80200,00084.8
48GPT-5.1 VisionOpenAI$17.76$80.59400,00084.8
49Gemini 3 Flash ProGoogle DeepMind$17.71$86.50400,00084.8
50o3 MaxOpenAI$17.82$90.552,000,00084.8

Methodology

This story uses the AI & LLM Index dataset: 600 models, 40 providers and 12 benchmarks. Prices are listed per million tokens. Scores are modelled estimates on a 0–100 scale and are not official benchmark results. Figures are rounded for readability.

Related

FAQ

What does the Best proprietary models in 2026: full ranking data show?

The strongest proprietary models in the index, ranked by average benchmark score. 229 models fall into this group.

Are the numbers official?

No. Prices and scores are compiled for this demo index. Benchmark values are modelled estimates, not official results. Verify figures with the provider or benchmark owner before making decisions.

How should I use this ranking?

Use it to form a shortlist. Check the specific model pages, compare price and context, and test the shortlist on your own examples before committing.