Best AI Models for Vision
Ranking of multimodal language models by visual understanding. These models can analyze images, charts, documents, and visual content.Updated August 2026. Based on independent benchmark data.
Why This Matters
Choosing the right model for vision is about more than raw benchmark scores. The models below are ranked using a weighted blend of category-specific benchmarks, arena Elo, and the intelligence index — but real-world performance depends on your context window, latency budget, and integration path.
For vision, we weighted the benchmarks that most strongly predict success in production: task accuracy first, then speed and cost efficiency. Leaders on this page consistently outperform on both standardized tests and real-world workloads.
If you operate under a strict budget, check the Best Value LLMs ranking. If latency matters more than raw quality, see Fastest LLMs. Both pages use the same underlying dataset with different weightings.
| # | Model | Provider | Score | Speed | Price (output) |
|---|---|---|---|---|---|
| 1 | Claude Mythos Preview | Anthropic | 100.0 | 80 t/s | $15/M |
| 2 | GPT-5.5 | OpenAI | 100.0 | 60 t/s | $10/M |
| 3 | GPT-6 Astra | OpenAI | 98.2 | 82 t/s | $50/M |
| 4 | GPT-5.6 Sol | OpenAI | 97.4 | 72 t/s | $30/M |
| 5 | GPT-6 Astra (xhigh) | OpenAI | 95.0 | 76 t/s | $50/M |
| 6 | GPT-6 Astra (high) | OpenAI | 95.0 | 90 t/s | $50/M |
| 7 | GPT-6 Astra (medium) | OpenAI | 95.0 | 98 t/s | $50/M |
| 8 | GPT-6 Astra (low) | OpenAI | 95.0 | 110 t/s | $50/M |
| 9 | GPT-5.1 | OpenAI | 90.6 | 60 t/s | $10/M |
| 10 | GPT-6 Luna | OpenAI | 90.0 | 120 t/s | $20/M |
| 11 | Claude Opus 4.8 | Anthropic | 89.6 | 50 t/s | $15/M |
| 12 | Claude Opus 4.7 | Anthropic | 86.1 | 80 t/s | $15/M |
| 13 | Qwen3.8 Max | Alibaba | 85.4 | 55 t/s | $2/M |
| 14 | GPT-6 Luna (xhigh) | OpenAI | 85.0 | 118 t/s | $20/M |
| 15 | Claude Opus 5.5 | Anthropic | 85.0 | 68 t/s | $25/M |
| 16 | GPT-6 Luna (high) | OpenAI | 85.0 | 128 t/s | $20/M |
| 17 | GPT-6 Luna (medium) | OpenAI | 85.0 | 138 t/s | $20/M |
| 18 | GPT-6 Luna (low) | OpenAI | 85.0 | 150 t/s | $20/M |
| 19 | Kimi K3 | Moonshot AI | 83.5 | 37 t/s | $15/M |
| 20 | GPT-6 Sol | OpenAI | 80.0 | 220 t/s | $4/M |
Top 5 Vision — Quick Comparison
Methodology
Rankings are based on independent benchmark evaluations. The vision score is computed from multiple standardized benchmarks and normalized to 0–100. Data is updated regularly from public benchmark results.
Related Rankings
Frequently Asked Questions
What is the best multimodal AI model for vision and images?
GPT-4.5/GPT-5, Gemini 2.0 Pro, and Claude 3.7 Sonnet achieve the highest accuracy on MMMU-Pro and document visual understanding.