85Fit score
Gemini 3 Pro is Google’s flagship frontier model for high-precision multimodal reasoning, combining strong performance across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be …
Model details →Best AI vision models
Vision models accept image inputs and reason about them. Pricing is usually quoted per image, plus per-token text I/O.
85Fit score
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a vari…
Model details →85Fit score
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to t…
Model details →Top 25 models for image understanding
| # | Model | Provider | Context | Input price / 1M | Tier |
|---|---|---|---|---|---|
| 1 | Google: Gemini 3 Pro Preview | 1.0M Ultra context (1M+) | $2.00 | Standard | |
| 2 | Qwen: Qwen3.5 Plus 2026-02-15 | Qwen | 1M Ultra context (1M+) | $0.26 | Budget |
| 3 | Qwen: Qwen3.5-Flash | Qwen | 1M Ultra context (1M+) | $0.07 | Budget |
| 4 | Qwen: Qwen3.7 Flash | Qwen | 1M Ultra context (1M+) | $0.03 | Budget |
| 5 | Qwen: Qwen3.8 27B | Qwen | 1M Ultra context (1M+) | $0.04 | Budget |
| 6 | Qwen: Qwen3.8 Flash | Qwen | 1M Ultra context (1M+) | $0.15 | Budget |
| 7 | Qwen: Qwen3.8 Max | Qwen | 1M Ultra context (1M+) | $2.00 | Standard |
| 8 | ByteDance Seed: Seed 1.6 Flash | Bytedance Seed | 262K Long context (128K+) | $0.07 | Budget |
| 9 | ByteDance Seed: Seed 2.1 Turbo | Bytedance Seed | 262K Long context (128K+) | $0.50 | Budget |
| 10 | inclusionAI: Ling 3.0 Flash VL (free) | Inclusionai | 262K Long context (128K+) | $0.00 | Budget |
| 11 | Qwen: Qwen3.5 397B A17B | Qwen | 262K Long context (128K+) | $0.50 | Budget |
| 12 | Qwen: Qwen3.5-122B-A10B | Qwen | 262K Long context (128K+) | $0.26 | Budget |
| 13 | Qwen: Qwen3.5-27B | Qwen | 262K Long context (128K+) | $0.26 | Budget |
| 14 | Qwen: Qwen3.5-35B-A3B | Qwen | 262K Long context (128K+) | $0.15 | Budget |
| 15 | Qwen: Qwen3.5-9B | Qwen | 262K Long context (128K+) | $0.10 | Budget |
| 16 | Qwen: Qwen3.5-9B (batch) | Qwen | 262K Long context (128K+) | $0.17 | Budget |
| 17 | Qwen: Qwen3.8 27B (free) | Qwen | 262K Long context (128K+) | $0.00 | Budget |
| 18 | StepFun: Step 3.7 Flash | Stepfun | 262K Long context (128K+) | $0.20 | Budget |
| 19 | Xiaomi: MiMo-V2-Omni | Xiaomi | 262K Long context (128K+) | $0.40 | Budget |
| 20 | Z.ai: GLM 5V Turbo | Z Ai | 203K Long context (128K+) | $1.20 | Standard |
| 21 | inclusionAI: Ling 3.0 Flash VL | Inclusionai | 131K Long context (128K+) | $0.06 | Budget |
| 22 | NVIDIA: Nemotron Nano 12B 2 VL | Nvidia | 131K Long context (128K+) | $0.20 | Budget |
| 23 | NVIDIA: Nemotron Nano 12B 2 VL (free) | Nvidia | 128K Long context (128K+) | $0.00 | Budget |
| 24 | Z.ai: GLM 4.6V | Z Ai | 131K Long context (128K+) | $0.30 | Budget |
| 25 | AllenAI: Molmo2 8B | Allenai | 37K Short/standard context | $0.20 | Budget |
Frequently asked questions
Which vision model is best for OCR?
Qwen3-VL, Gemini 2.5 Pro/Flash, and GPT-4o family lead on OCR benchmarks. For low-cost batch OCR, look at smaller VL variants and DeepSeek-VL.
Can these models read PDFs?
All vision models accept page images of PDFs. Some providers also offer native PDF input — see each model page.
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