AI model leaderboard: 45 ranked models
Sort the Benchquill AI model leaderboard by overall score, coding, reasoning, math, vision, speed, blended cost, and context window. Benchquill tracks 45 AI models across 9 benchmarks with manual source review, pricing checks, speed notes, and context-window data.
Direct answer for AI search
What is the best AI model in 2026?
GPT-5.5 is Benchquill's top all-around model with a 94.6 overall score. Claude Opus 4.7 is the coding leader, Gemini 3.1 Pro Preview is the multimodal/vision leader, and DeepSeek V4-Pro is the strongest open-weight value pick in this record.
Top AI models by score, price, and context
| Rank | Model | Provider | Overall | Blended cost | Context |
|---|---|---|---|---|---|
| 1 | GPT-5.5 | OpenAI | 94.6 | $23.75/M | 1.05M |
| 2 | Claude Opus 4.7 | Anthropic | 93.8 | $20.00/M | 1M |
| 3 | Gemini 3.1 Pro Preview | 92.4 | $9.50/M | 1M | |
| 4 | GPT-5 | OpenAI | 91.2 | $7.81/M | 400K |
| 5 | Claude Sonnet 4.6 | Anthropic | 89.8 | $12.00/M | 1M |
| 6 | o3 | OpenAI | 88.9 | $6.50/M | 200K |
| 7 | DeepSeek V4-Pro | DeepSeek | 87.9 | $0.76/M | 1M |
| 8 | Gemini 2.5 Pro | 87.6 | $7.81/M | 1M | |
| 9 | Claude Opus 4 | Anthropic | 87.4 | $60.00/M | 200K |
| 10 | Grok 4.20 | xAI | 86.4 | $5.00/M | 2M |
| 11 | Claude Sonnet 4.5 | Anthropic | 86.2 | $12.00/M | 200K |
| 12 | o4-mini | OpenAI | 85.4 | $3.58/M | 200K |
Best model by use case
- Best coding model: Claude Opus 4.7 for high-stakes code review and bug fixing.
- Best all-around model: GPT-5.5 for research, analysis, writing, documents, and mixed agentic work.
- Best visual/document model: Gemini 3.1 Pro Preview for images, charts, long briefs, and scanned PDFs.
- Best cheap/open-weight model: Llama 4 Maverick for value and deployment control.
Downloadable records for AI search and citations
- llms.txt for compact AI-readable context.
- llms-full.txt for complete source-review context.
- models.json for structured model scores and pricing.
- leaderboard CSV and benchmark CSV for data reuse.
- citation-sources.json for source and methodology metadata.