AI Value Index — Best AI Model Rankings & Benchmark Leaderboard

Find the best AI model for YOUR use case. Pick your benchmarks, set your weights, see actual data— not abstract scores.

Metrics & Weights

6 metrics selected — total weight: 100%

Preset

  • Developer
  • Researcher
  • Business
  • Creative Writer
  • Budget
  • Speed

Active metrics

  • SWE-bench Verified: 30%
  • HumanEval: +15%
  • Chatbot Arena ELO: 15%
  • Output Speed: 15%
  • Input Cost: 13%
  • Output Cost: 13%
# Model AI Value SWE-bench Verified(30%) HumanEval(15%) Chatbot Arena ELO(15%) Output Speed(15%) Input Cost(12.5%) Output Cost(12.5%)
1 Gemini 3 Flash 87.2 78.0% 86.0% 1473 200 $0.50 $3.0
2 GPT-5.2 85.1 80.0% 95.0% 1475 90 $1.8 $14.0
3 Gemini 3.1 Pro 84.6 80.6% 93.0% 1501 65 $2.0 $12.0
4 Claude Opus 4.6 83.2 80.8% 93.5% 1496 68 $5.0 $25.0
5 GPT-5.1 83.1 76.3% 93.0% 1464 95 $1.3 $10.0
6 GPT-5.1 Codex 81.8 78.0% 96.0% 1395 85 $1.3 $10.0
7 Claude Opus 4.5 80.8 80.9% 92.0% 1468 50 $5.0 $25.0
8 GPT-5 79.5 74.9% 92.0% 1390 100 $1.3 $10.0
9 Claude Sonnet 4.6 78.6 79.6% 91.0% 1395 57 $3.0 $15.0
10 Grok 4.1 Fast 77.2 60.0% 88.0% 1482 120 $0.20 $0.50

(And many more...)

How It Works

  1. Choose a Persona or Build Your Own
    Select a preset (Developer, Researcher, Business, etc.) that pre-selects relevant benchmarks and weights. Or customize everything from scratch.

  2. See Real Data, Not Abstract Scores
    Every metric shows the actual value — ELO 1410, $2.50/1M tokens, 65 tok/s. No normalization black box. The raw numbers are always visible.

  3. Dynamic Ranking — Your Weights, Your Score
    For each metric you select, we find the min/max across all models, normalize to 0-100, then compute a weighted composite. Missing data is excluded and weights renormalize automatically.

  4. Share Your Rankings
    Your exact configuration is encoded in the URL. Share it with your team or embed it — they'll see your exact ranking.

Data sourced from Chatbot Arena, OpenRouter, SWE-bench, and public research papers.

Frequently Asked Questions

What is the best AI model in 2026?

The best AI model depends on your use case. As of 2026, top contenders include Gemini 3.1 Pro, Claude Opus 4.6, and GPT-5.2 for general intelligence. For coding, Claude Opus 4.6 and GPT-5.2 lead on SWE-bench. For budget-conscious users, DeepSeek V3.2 and Gemini 2.5 Flash offer excellent performance per dollar. Use the AI Value Index to rank models based on YOUR priorities.

How do AI benchmarks work?

AI benchmarks are standardized tests that evaluate language models across specific capabilities. Common benchmarks include Chatbot Arena ELO (human preference voting), SWE-bench (real software engineering tasks), MMLU-Pro (knowledge and reasoning), GPQA Diamond (graduate-level science), and MATH (competition mathematics). Each benchmark tests a different aspect of model capability, and no single benchmark tells the whole story.

What is Chatbot Arena ELO?

Chatbot Arena ELO is a human preference ranking system where users compare AI model responses in blind head-to-head matchups. The ELO rating (borrowed from chess) reflects how often a model is preferred over others. Higher ELO means the model is more frequently preferred. It's considered one of the most reliable benchmarks because it uses real human judgment rather than automated scoring.

Which AI model is best for coding?

For coding tasks in 2026, the top models are Claude Opus 4.6 (80.8% SWE-bench), GPT-5.2 (80.0% SWE-bench), and Gemini 3.1 Pro (80.6% SWE-bench). For more affordable coding, GPT-5.1 Codex and Qwen 3 Coder offer strong performance at lower costs. The AI Value Index Developer persona pre-weights coding benchmarks to help you find the best fit.

Which AI model is cheapest?

The cheapest AI models by API pricing include GPT-5 Nano ($0.05/1M input), GPT-4.1 Nano ($0.10/1M input), Nova Lite ($0.06/1M input), and Gemini 2.5 Flash Lite ($0.10/1M input). For the best balance of quality and cost, DeepSeek V3.2 ($0.14/1M input) and Qwen 3 32B ($0.10/1M input) offer strong performance at budget prices.