Image understanding
Vision-language models ranked by how people rate their answers about images, the assistants you can show a picture or a screen, and local apps that run open vision models.
Models are ranked by LMArena Vision Arena (overall, style control), then Artificial Analysis MMMU-Pro (independent evaluation) for models without a result on the first. Tools inherit the tier of the best model they offer. How we rank.
- Best overallSQwen3.8-Max1,301 on LMArena Vision Arena (overall, style control)
- Best valueAMiMo-V2.6-FlashTier A for $0.18/M tokens
- Best free startSOpenRouterFree tier · paid plans · via Qwen3.8-Max
- Best local (≤24 GB GPU)AGemma 4 (31B)~19 GB VRAM · 1,262 on LMArena Vision Arena (overall, style control)
- Tier: how close to the best result on the task's main public benchmark
- Outlined: a tool inherits the tier of the best model it offers
- No public result yet
- Cloud · Local: runs on your own hardware
Models
The engines themselves. Use them through an API or inside the apps on the right.
Apps
Ready-made apps with a UI: sign in or install, then start.
Runtimes & gateways
Run open models on your own machine, or reach many models through one API.
Quality vs. price
LMArena Vision Arena (overall, style control) score against API price (USD per 1M tokens, blended 3:1 input:output, log scale). Up and to the left is better; the line joins the models that nothing else beats on both.
- Closed models
- Open-weights models
- Best-value frontier
Show as table
| Model | Weights | LMArena Vision Arena (overall, style control) | Price | Frontier |
|---|---|---|---|---|
| Qwen3.8-Max | Closed | 1,301 | $3/M tokens | Yes |
| GPT-6.1 Sol | Closed | 1,294 | $4/M tokens | |
| Claude Opus 5.5 | Closed | 1,293 | $8/M tokens | |
| Muse Spark 1.3 | Closed | 1,290 | $2/M tokens | Yes |
| Gemini 3.8 Flash | Closed | 1,289 | $1.5/M tokens | Yes |
| Claude Fable 5.1 | Closed | 1,286 | $20/M tokens | |
| GPT-6 Astra | Closed | 1,286 | $20/M tokens | |
| Gemini 3.1 Pro (Preview) | Closed | 1,280 | $4.5/M tokens | |
| GLM-5.3-Flash | Open | 1,273 | $0.24/M tokens | Yes |
| Claude Sonnet 5.5 | Closed | 1,266 | $4/M tokens | |
| Gemini 3.5 Flash-Lite | Closed | 1,266 | $0.85/M tokens | |
| Qwen3.7-Plus | Closed | 1,264 | $0.56/M tokens | |
| Gemma 4 (31B) | Open | 1,262 | $0.21/M tokens | Yes |
| DeepSeek-V4.1-Flash-1017 | Open | 1,260 | $0.52/M tokens | |
| Step 5 Preview | Open | 1,250 | $1.43/M tokens | |
| MiMo-V2.6-Flash | Open | 1,248 | $0.18/M tokens | Yes |
| Grok 4.7 | Closed | 1,248 | $3/M tokens | |
| MiMo-V2.6-Pro | Open | 1,246 | $0.54/M tokens | |
| Qwen3.8-27B | Open | 1,244 | $0.96/M tokens | |
| GPT-6 Luna | Closed | 1,241 | $0.2/M tokens | |
| MiniMax-M3 | Open | 1,236 | $0.52/M tokens | |
| GLM-5V-Turbo | Closed | 1,231 | $1.9/M tokens | |
| Inkling Small | Open | 1,208 | $0.64/M tokens | |
| Mistral Medium 3.5 | Open | 1,200 | $3/M tokens | |
| Llama 4 Maverick | Open | 1,145 | $0.55/M tokens |
Quality vs. setup
The same tools as the map, placed by how good the results can be (up) and how much setup they take (right). Top-left is the easiest way to top quality; further right buys control, privacy or price at the cost of setup. Models are left out: you reach them through these tools.
- Cloud
- Local: runs on your hardware
- Hollow: tier inherited from the best model the tool offers
Not placed (no public result yet): Be My Eyes, Envision, Google Lens, Qwen Chat, Seeing AI
Everything, in order
| Tier | Name | Approach | Runs | Rated by | Price | Skill |
|---|---|---|---|---|---|---|
| S | Qwen3.8-Max Alibaba (Qwen) | Models | Cloud | 1,301 on LMArena Vision Arena (overall, style control) | $3/M tokens | — |
| S | OpenAI | Models | Cloud | 1,294 on LMArena Vision Arena (overall, style control) | $4/M tokens | — |
| S | Anthropic | Models | Cloud | 1,293 on LMArena Vision Arena (overall, style control) | $8/M tokens | — |
| S | Muse Spark 1.3 Meta | Models | Cloud | 1,290 on LMArena Vision Arena (overall, style control) | $2/M tokens | — |
| S | Google | Models | Cloud | 1,289 on LMArena Vision Arena (overall, style control) | $1.5/M tokens | — |
| S | Anthropic | Models | Cloud | 1,286 on LMArena Vision Arena (overall, style control) | $20/M tokens | — |
| S | OpenAI | Models | Cloud | 1,286 on LMArena Vision Arena (overall, style control) | $20/M tokens | — |
| S | Google | Models | Cloud | 1,280 on LMArena Vision Arena (overall, style control) | $4.5/M tokens | — |
| S | Z.ai | Models | Local | 1,273 on LMArena Vision Arena (overall, style control) | ~185 GB VRAM | — |
| S | OpenRouter | Runtimes & gateways | Cloud | via Qwen3.8-Max | Free tier | intermediate |
| S | OpenAI | Apps | Cloud | via GPT-6.1 Sol | Free tier · $20/mo | beginner |
| S | Microsoft Copilot Microsoft | Apps | Cloud | via GPT-6.1 Sol | Free tier · $9.99/mo | beginner |
| S | Perplexity AI | Apps + Runtimes & gateways | Cloud | via GPT-6.1 Sol | Free tier · $20/mo | beginner |
| S | Anthropic | Apps | Cloud | via Claude Opus 5.5 | Free tier · $20/mo | beginner |
| S | Meta | Apps | Cloud | via Muse Spark 1.3 | Free tier | beginner |
| S | Google | Apps | Cloud | via Gemini 3.8 Flash | Free tier · $4.99/mo | beginner |
| S | Ollama | Runtimes & gateways | Local | via GLM-5.3-Flash | Free | intermediate |
| A | Anthropic | Models | Cloud | 1,266 on LMArena Vision Arena (overall, style control) | $4/M tokens | — |
| A | Google | Models | Cloud | 1,266 on LMArena Vision Arena (overall, style control) | $0.85/M tokens | — |
| A | Alibaba (Qwen) | Models | Cloud | 1,264 on LMArena Vision Arena (overall, style control) | $0.56/M tokens | — |
| A | Google DeepMind | Models | Local | 1,262 on LMArena Vision Arena (overall, style control) | ~19 GB VRAM | — |
| A | DeepSeek | Models | Local | 1,260 on LMArena Vision Arena (overall, style control) | ~320 GB VRAM | — |
| A | StepFun | Models | Local | 1,250 on LMArena Vision Arena (overall, style control) | ~346 GB VRAM | — |
| A | xAI | Models | Cloud | 1,248 on LMArena Vision Arena (overall, style control) | $3/M tokens | — |
| A | Xiaomi | Models | Local | 1,248 on LMArena Vision Arena (overall, style control) | ~178 GB VRAM | — |
| A | Xiaomi | Models | Local | 1,246 on LMArena Vision Arena (overall, style control) | ~585 GB VRAM | — |
| A | Alibaba (Qwen) | Models | Local | 1,244 on LMArena Vision Arena (overall, style control) | ~17 GB VRAM | — |
| A | OpenAI | Models | Cloud | 1,241 on LMArena Vision Arena (overall, style control) | $0.2/M tokens | — |
| A | Meta | Models | Local | 80.9% on Artificial Analysis MMMU-Pro (independent evaluation) | ~470 GB VRAM | — |
| A | Moonshot AI | Models | Local | 80.5% on Artificial Analysis MMMU-Pro (independent evaluation) | ~1600 GB VRAM | — |
| A | MiniMax | Models | Local | 1,236 on LMArena Vision Arena (overall, style control) | ~245 GB VRAM | — |
| A | Z.ai | Models | Cloud | 1,231 on LMArena Vision Arena (overall, style control) | $1.9/M tokens | — |
| A | inclusionAI | Models | Local | 79% on Artificial Analysis MMMU-Pro (independent evaluation) | ~73 GB VRAM | — |
| A | Open WebUI Inc. | Apps | Local | via Gemma 4 (31B) | Free | intermediate |
| A | ggml-org | Runtimes & gateways | Local | via Gemma 4 (31B) | Free | advanced |
| A | vLLM project | Runtimes & gateways | Local | via Gemma 4 (31B) | Free | advanced |
| A | Ettore Di Giacinto (mudler) | Runtimes & gateways | Local | via Gemma 4 (31B) | Free | advanced |
| A | oobabooga | Apps | Local | via Gemma 4 (31B) | Free | intermediate |
| A | Menlo Research | Apps | Local | via Gemma 4 (31B) | Free | beginner |
| A | SGLang project (LMSYS) | Runtimes & gateways | Local | via Gemma 4 (31B) | Free | advanced |
| A | InternLM (Shanghai AI Laboratory) | Runtimes & gateways | Local | via Gemma 4 (31B) | Free | advanced |
| A | Blaizzy (open-source project) | Runtimes & gateways | Local | via Gemma 4 (31B) | Free | advanced |
| A | Element Labs | Apps | Local | via Gemma 4 (31B) | Free | beginner |
| A | Msty | Apps | Local | via Gemma 4 (31B) | Free | beginner |
| A | SpaceXSI (formerly xAI) | Apps | Cloud | via Grok 4.7 | Free tier · $8/mo | beginner |
| A | Moonshot AI | Apps | Cloud | via Kimi K3 | Free tier | beginner |
| B | Thinking Machines Lab | Models | Local | 1,208 on LMArena Vision Arena (overall, style control) | ~159 GB VRAM | — |
| B | Mistral AI | Models | Local | 1,200 on LMArena Vision Arena (overall, style control) | ~75 GB VRAM | — |
| B | Mistral AI | Models | Cloud | 76.4% on Artificial Analysis MMMU-Pro (independent evaluation) | $2.06/M tokens | — |
| B | Meta | Models | Local | 74.3% on Artificial Analysis MMMU-Pro (independent evaluation) | ~19 GB VRAM | — |
| B | Thinking Machines Lab | Models | Local | 73.5% on Artificial Analysis MMMU-Pro (independent evaluation) | ~557 GB VRAM | — |
| B | Meta | Models | Local | 1,145 on LMArena Vision Arena (overall, style control) | ~230 GB VRAM | — |
| B | Mistral AI | Apps | Cloud | via Mistral Medium 3.5 | Free tier · $15/mo | beginner |
| C | Allen Institute for AI (Ai2) | Models | Local | 1,112 on LMArena Vision Arena (overall, style control) | ~6.5 GB VRAM | — |
| – | Be My Eyes | Apps | Cloud | No public result yet | Free | beginner |
| – | Envision | Apps | Cloud | No public result yet | Free | beginner |
| – | Google | Apps | Cloud | No public result yet | — | beginner |
| – | OpenBMB | Models | Local | No public result yet | ~22 GB VRAM | — |
| – | Moondream (M87 Labs) | Models | Local | No public result yet | ~7 GB VRAM | — |
| – | NVIDIA | Models | Local | No public result yet | ~24 GB VRAM | — |
| – | NVIDIA | Models | Local | No public result yet | ~72 GB VRAM | — |
| – | Alibaba (Qwen team) | Apps | Cloud | No public result yet | Free | beginner |
| – | Alibaba (Qwen) | Models | Local | No public result yet | ~104 GB VRAM | — |
| – | Seeing AI Microsoft | Apps | Cloud | No public result yet | Free | beginner |
Benchmarks used
- LMArena Vision Arena (overall, style control) by LMArena (arena.ai) (blind human votes, Arena score (Bradley-Terry rating from pairwise human votes on image + text prompts, style-controlled view)) · snapshot 9 Oct 2026Read from LMArena's official Hugging Face dataset (vision_style_control, latest split, category overall). 165 entries; covers nearly all current closed frontier models and the main open families (Gemma 4, Qwen3.8-27B, GLM-5.3-Flash, DeepSeek-V4.1-Flash, MiMo-V2.6-Pro, MiniMax-M3, Mistral Medium 3.5). Not listed: Gemini 4 Argon, Claude Haiku 5.5, Kimi K3, Muse Wonder, GLM-5.3, DeepSeek-V4-Pro. The #1 entry is the older Claude Fable 5; several current entries have under 3k votes.
- Artificial Analysis MMMU-Pro (independent evaluation) by Artificial Analysis (automated tests, Accuracy on MMMU-Pro (multi-discipline multimodal questions over images), as run by Artificial Analysis) · snapshot 19 Oct 2026Values read from the model data embedded in https://artificialanalysis.ai/leaderboards/models (124 model variants with an MMMU-Pro result; the evaluation page itself only embeds its 19 chart defaults). No last-updated date shown. Covers most current closed frontier models and many open ones (Gemma 4, Qwen3.8-27B, Kimi K3, MiniMax-M3, DeepSeek V4.1 Flash, Muse Spark Open/Glimmer, Inkling, Step 5, Mistral Large 4, MiMo-V2.6-Flash). Not listed: Claude Fable 5.1, Claude Sonnet 5.5, Claude Haiku 5.5, Gemini 4 Argon, GLM-5.3/5.3-Flash, MiMo-V2.6-Pro, MiniCPM-V 4.7 (only 4.6 1.3B). Several entries are effort variants of one model; record the best. Independently run (not vendor-reported), unlike aggregator MMMU tables.