Saturday, 11 July 2026 | Updating Daily AI insight, written for builders

LLM Leaderboard 2026 — AI Model Intelligence Index

In 2026, Claude Opus 4.8 tops our intelligence index at 55.7, just ahead of OpenAI’s GPT-5.5 (54.8). Google’s Gemini 3.5 Flash (50.2) and open-weight GLM-5.2 (51.1) sit close behind, with Gemini 3.1 Pro (46.5) and DeepSeek V4 Pro (44.3) rounding out the frontier. The single “best” model depends on how you weigh intelligence against price and speed.

The Intelligence column is a composite 0-100 score based on the Artificial Analysis Intelligence Index v4.1, which blends nine demanding evaluations spanning reasoning, coding, agentic tool use, and scientific knowledge. Higher is smarter — but a two-point gap at the very top rarely changes real-world output quality, so treat clusters of models as roughly equivalent rather than reading tiny differences as decisive.

Read intelligence alongside price and speed. A frontier model like Opus 4.8 costs far more per token than DeepSeek V4 Flash (40.3) or GLM-5.2, which deliver 70-90% of the intelligence at a fraction of the cost. For high-volume or latency-sensitive work, a cheaper, faster model usually wins; for the hardest reasoning and agentic tasks, the top of the table earns its premium. Sort by the metric that matches your use case.

#Modelo DesenvolvedorIntelligence Contexto Entrada $/1 milhão Saída $/1 milhão Open weights
1Claude Opus 4.8Anthropic55.71 milhão$5.00$25.00Não
2GPT-5.5OpenAI54.81,05 milhão$5.00$30.00Não
3GLM 5.2Zhipu AI51.11 milhão$1.40$4.40Sim
4Gemini 3.5 FlashGoogle50.21 milhão$1.50$9.00Não
5Claude Sonnet 4.6Anthropic471 milhão$3.00$15.00Não
6Gemini 3.1 ProGoogle46.51,05 milhão$2.00$12.00Não
7DeepSeek V4-ProDeepSeek44.31 milhão$0.44$0.87Sim
8Kimi K2.7 CodeMoonshot AI42256K$0.60$2.50Sim
9DeepSeek V4-FlashDeepSeek40.31 milhão$0.14$0.28Sim
10Claude Haiku 4.5Anthropic37200 mil$1.00$5.00Não
11DeepSeek R1DeepSeek20.1128K$0.50$2.15Sim
12Mistral Large 3Mistral AI15.9256K$2.00$6.00Sim
13Llama 4 MaverickMeta14.31 milhão$0.15$0.60Sim
14Qwen3 235B-A22BAlibaba13128K$0.45$1.80Sim
15Qwen3 32BAlibaba12128K$0.08$0.28Sim
16Llama 4 ScoutMeta10.010 milhões$0.10$0.30Sim
17Gemma 3 27BGoogle7.4128K$0.08$0.16Sim
18Phi-4Microsoft4.916K$0.07$0.14Sim
19Claude Fable 5Anthropic1 milhão$10.00$50.00Não
20DeepSeek R1 Distill Llama 70BDeepSeek128K$0.80$0.80Sim
21Gemini 2.5 ProGoogle (Google DeepMind)1M (1,048,576 tokens)$1.25$10.00Não
22Gemma 3 12BGoogle128K$0.05$0.15Sim
23Gemma 3 4BGoogle128K$0.05$0.10Sim
24Grok 4xAI256,000 tokens$3.00$15.00Não
25Llama 3.1 8BMeta128K$0.02$0.03Sim
26Llama 3.3 70BMeta128K$0.10$0.32Sim
27Mistral 7BMistral AI32K$0.02$0.03Sim
28Mistral NeMo 12BMistral AI128K$0.02$0.04Sim
29NVIDIA Nemotron 3 Nano OmniNVIDIA256KSim
30Qwen3 14BAlibaba128K$0.12$0.24Sim
31Qwen3 30B-A3BAlibaba128K$0.12$0.50Sim
32Qwen3 8BAlibaba128K$0.04$0.14Sim

Click any column heading to re-sort. Intelligence = a 0–100 composite of public reasoning/knowledge benchmarks; — means not yet scored. Prices are USD per 1M tokens. Updated July 2026.

Perguntas frequentes

What is the best LLM right now?

As of mid-2026, Claude Opus 4.8 is the highest-scoring model on the Artificial Analysis Intelligence Index (55.7), narrowly ahead of GPT-5.5 (54.8). Both lead on reasoning, coding, and agentic tasks, so the practical choice between them usually comes down to price, speed, and ecosystem rather than a meaningful intelligence gap.

What is the smartest open-source model?

GLM-5.2 is currently the most intelligent open-weight model, scoring 51.1 on the intelligence index — ahead of DeepSeek V4 Pro (44.3) and DeepSeek V4 Flash (40.3). That puts the best open models within roughly four points of proprietary frontier models like GPT-5.5, while remaining free to self-host or run through low-cost APIs.

Which AI model is the best value?

DeepSeek V4 Flash and GLM-5.2 offer the strongest intelligence-per-dollar. DeepSeek V4 Flash scores 40.3 at a tiny fraction of Opus 4.8’s price, delivering roughly 70% of the top score for a small percentage of the cost. For budget-sensitive, high-volume workloads, these open models are the clear value leaders.

How is the intelligence score calculated?

Our scores mirror the Artificial Analysis Intelligence Index v4.1, a 0-100 composite of nine demanding evaluations — including Humanity’s Last Exam, GPQA Diamond, Terminal-Bench, SciCode, and agentic tool-use tasks. It measures reasoning, knowledge, coding, and agentic ability in one number, so a higher score means broadly more capable across hard, real-world tasks.

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