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Multimodal models

Models that accept more than one input modality. 170 of 338 catalog models match as of July 2026.

170
Models
$0.052
Input from /1M
10M
Max context
Jun 30, 2026
Newest release

170 multimodal models are live on OpenKey right now, spanning 52 labs, with Claude Sonnet 5 (Anthropic, June 30 2026) the newest addition — 1M context, text+image+file input, $2/$10 per M tokens. Pricing spreads from sub-$0.10 open-weights like Nemotron 3 Nano Omni (free) to Claude Opus 4.7 (Fast) at $30/$150 per M. Eight models in this set are free. Image-generation-capable models (Nano Banana 2, Nano Banana Pro, GPT-5.4 Image 2) sit alongside pure vision-to-text models like Claude Opus 4.8, so 'multimodal' here covers a wide range of actual capability — check input/output modality before assuming a model can generate images back.

Top picks

Claude Opus 4.8

Ranked 1 on design_arena androidnative (elo 1343), the top score among benchmarked models in this list. $5/$25 per M input/output, 1M context, text+image+file input. Good default when you need vision reasoning plus code/UI generation in one call.

Nano Banana 2 (Gemini 3.1 Flash Image)

One of the cheapest models here that actually generates images back (text+image->text+image), at $0.5/$3 per M — versus $2/$12 for its Pro sibling and $8/$15 for GPT-5.4 Image 2. Best price point if you need image output, not just image understanding.

MiMo-V2.5

Text+image+audio+video->text at $0.105/$0.28 per M — the cheapest true omni-modal (four input types) model in the set, and still lands rank 12 on design_arena uicomponent (elo 1312). Good fit if you need broad input coverage on a tight budget.

All 170 models

Full catalog →
  • Claude Sonnet 5ctx 1M · inout
  • Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)ctx 66K · inout
  • Fugu Ultractx 1M · inout
  • Nano Banana Pro (Gemini 3 Pro Image)ctx 66K · inout
  • Nano Banana 2 (Gemini 3.1 Flash Image)ctx 131K · inout
  • Kimi K2.7 Codectx 262K · inout
  • Claude Fable 5ctx 1M · inout
  • Nex-N2-Proctx 262K · inout
  • Nemotron 3.5 Content Safety (free)Freectx 128K · inFreeoutFree
  • Qwen3.7 Plusctx 1M · inout
  • MiniMax M3ctx 1.0M · inout
  • Step 3.7 Flashctx 256K · inout
  • Claude Opus 4.8ctx 1M · inout
  • Claude Opus 4.8 (Fast)ctx 1M · inout
  • Grok Build 0.1ctx 256K · inout
  • Gemini 3.5 Flashctx 1.0M · inout
  • Claude Opus 4.7 (Fast)ctx 1M · inout
  • Perceptron Mk1ctx 33K · inout
  • Gemini 3.1 Flash Litectx 1.0M · inout
  • GPT Chat Latestctx 400K · inout
  • Mistral Medium 3.5ctx 262K · inout
  • Grok 4.3ctx 1M · inout
  • Nemotron 3 Nano Omni (free)Freectx 256K · inFreeoutFree
  • Qwen3.5 Plus 2026-04-20ctx 1M · inout
  • Qwen3.6 27Bctx 262K · inout
  • Qwen3.6 35B A3Bctx 262K · inout
  • Qwen3.6 Flashctx 1M · inout
  • GPT-5.5ctx 1.1M · inout
  • GPT-5.5 Proctx 1.1M · inout
  • MiMo-V2.5ctx 1.0M · inout
  • GPT-5.4 Image 2ctx 272K · inout
  • Kimi K2.6ctx 262K · inout
  • Claude Opus 4.7ctx 1M · inout
  • Gemma 4 26B A4B ctx 262K · inout
  • Gemma 4 26B A4B (free)Freectx 262K · inFreeoutFree
  • Gemma 4 31Bctx 262K · inout
  • Gemma 4 31B (free)Freectx 262K · inFreeoutFree
  • Qwen3.6 Plusctx 1M · inout
  • GLM 5V Turboctx 203K · inout
  • Grok 4.20ctx 2M · inout
  • Grok 4.20 Multi-Agentctx 2M · inout
  • Lyria 3 Clip PreviewFreectx 1.0M · inFreeoutFree
  • Lyria 3 Pro PreviewFreectx 1.0M · inFreeoutFree
  • Reka Edgectx 16K · inout
  • GPT-5.4 Minictx 400K · inout
  • GPT-5.4 Nanoctx 400K · inout
  • Mistral Small 4ctx 262K · inout
  • Seed-2.0-Litectx 262K · inout
  • Qwen3.5-9Bctx 262K · inout
  • GPT-5.4ctx 1.1M · inout
  • GPT-5.4 Proctx 1.1M · inout
  • Gemini 3.1 Flash Lite Previewctx 1.0M · inout
  • GPT-5.3 Chatctx 128K · inout
  • Seed-2.0-Minictx 262K · inout
  • Nano Banana 2 (Gemini 3.1 Flash Image Preview)ctx 131K · inout
  • Gemini 3.1 Pro Preview Custom Toolsctx 1.0M · inout
  • Qwen3.5-122B-A10Bctx 262K · inout
  • Qwen3.5-27Bctx 262K · inout
  • Qwen3.5-35B-A3Bctx 262K · inout
  • Qwen3.5-Flashctx 1M · inout
  • GPT-5.3-Codexctx 400K · inout
  • Gemini 3.1 Pro Previewctx 1.0M · inout
  • Claude Sonnet 4.6ctx 1M · inout
  • Qwen3.5 397B A17Bctx 256K · inout
  • Qwen3.5 Plus 2026-02-15ctx 1M · inout
  • Claude Opus 4.6ctx 1M · inout
  • Free Models RouterFreectx 200K · inFreeoutFree
  • Kimi K2.5ctx 262K · inout
  • GPT Audioctx 128K · inout
  • GPT Audio Minictx 128K · inout
  • GPT-5.2-Codexctx 400K · inout
  • Seed 1.6ctx 262K · inout
  • Seed 1.6 Flashctx 262K · inout
  • Gemini 3 Flash Previewctx 1.0M · inout
  • GPT-5.2ctx 400K · inout
  • GPT-5.2 Chatctx 128K · inout
  • GPT-5.2 Proctx 400K · inout
  • Devstral 2 2512ctx 262K · inout
  • GLM 4.6Vctx 131K · inout
  • GPT-5.1-Codex-Maxctx 400K · inout
  • Nova 2 Litectx 1M · inout
  • Ministral 3 14B 2512ctx 262K · inout
  • Ministral 3 3B 2512ctx 131K · inout
  • Ministral 3 8B 2512ctx 262K · inout
  • Mistral Large 3 2512ctx 262K · inout
  • Claude Opus 4.5ctx 200K · inout
  • Nano Banana Pro (Gemini 3 Pro Image Preview)ctx 66K · inout
  • GPT-5.1ctx 400K · inout
  • GPT-5.1 Chatctx 128K · inout
  • GPT-5.1-Codexctx 400K · inout
  • GPT-5.1-Codex-Minictx 400K · inout
  • Nova Premier 1.0ctx 1M · inout
  • Voxtral Small 24B 2507ctx 32K · inout
  • Sonar Pro Searchctx 200K · inout
  • Nemotron Nano 12B 2 VL (free)Freectx 128K · inFreeoutFree
  • Qwen3 VL 32B Instructctx 262K · inout
  • GPT-5 Image Minictx 400K · inout
  • Claude Haiku 4.5ctx 200K · inout
  • GPT-5 Imagectx 400K · inout
  • Qwen3 VL 8B Instructctx 256K · inout
  • Qwen3 VL 8B Thinkingctx 256K · inout
  • o3 Deep Researchctx 200K · inout
  • o4 Mini Deep Researchctx 200K · inout
  • Nano Banana (Gemini 2.5 Flash Image)ctx 33K · inout
  • GPT-5 Proctx 400K · inout
  • Qwen3 VL 30B A3B Instructctx 262K · inout
  • Qwen3 VL 30B A3B Thinkingctx 131K · inout
  • Claude Sonnet 4.5ctx 1M · inout
  • Gemini 2.5 Flash Lite Preview 09-2025ctx 1.0M · inout
  • GPT-5 Codexctx 400K · inout
  • Qwen3 VL 235B A22B Instructctx 262K · inout
  • Qwen3 VL 235B A22B Thinkingctx 131K · inout
  • Mistral Medium 3.1ctx 131K · inout
  • GLM 4.5Vctx 66K · inout
  • GPT-5ctx 400K · inout
  • GPT-5 Chatctx 128K · inout
  • GPT-5 Minictx 400K · inout
  • GPT-5 Nanoctx 400K · inout
  • Claude Opus 4.1ctx 200K · inout
  • Codestral 2508ctx 256K · inout
  • UI-TARS 7B ctx 128K · inout
  • Gemini 2.5 Flash Litectx 1.0M · inout
  • ERNIE 4.5 VL 424B A47B ctx 131K · inout
  • Mistral Small 3.2 24Bctx 128K · inout
  • Gemini 2.5 Flashctx 1.0M · inout
  • Gemini 2.5 Proctx 1.0M · inout
  • o3 Proctx 200K · inout
  • Gemini 2.5 Pro Preview 06-05ctx 1.0M · inout
  • Claude Opus 4ctx 200K · inout
  • Claude Sonnet 4ctx 1M · inout
  • Gemini 2.5 Pro Preview 05-06ctx 1.0M · inout
  • Mistral Medium 3ctx 131K · inout
  • Llama Guard 4 12Bctx 164K · inout
  • o3ctx 200K · inout
  • o4 Minictx 200K · inout
  • o4 Mini Highctx 200K · inout
  • GPT-4.1ctx 1.0M · inout
  • GPT-4.1 Minictx 1.0M · inout
  • GPT-4.1 Nanoctx 1.0M · inout
  • Llama 4 Maverickctx 1.0M · inout
  • Llama 4 Scoutctx 10M · inout
  • o1-proctx 200K · inout
  • Mistral Small 3.1 24Bctx 128K · inout
  • Gemma 3 12Bctx 131K · inout
  • Gemma 3 4Bctx 131K · inout
  • Gemma 3 27Bctx 131K · inout
  • Sonar Proctx 200K · inout
  • Sonar Reasoning Proctx 128K · inout
  • Sabactx 33K · inout
  • o3 Mini Highctx 200K · inout
  • Qwen2.5 VL 72B Instructctx 131K · inout
  • o3 Minictx 200K · inout
  • Sonarctx 127K · inout
  • MiniMax-01ctx 1.0M · inout
  • o1ctx 200K · inout
  • Nova Lite 1.0ctx 300K · inout
  • Nova Pro 1.0ctx 300K · inout
  • GPT-4o (2024-11-20)ctx 128K · inout
  • Mistral Large 2407ctx 131K · inout
  • Llama 3.2 11B Vision Instructctx 131K · inout
  • GPT-4o (2024-08-06)ctx 128K · inout
  • GPT-4o-minictx 128K · inout
  • GPT-4o-mini (2024-07-18)ctx 128K · inout
  • GPT-4octx 128K · inout
  • GPT-4o (2024-05-13)ctx 128K · inout
  • Mixtral 8x22B Instructctx 66K · inout
  • GPT-4 Turboctx 128K · inout
  • Claude 3 Haikuctx 200K · inout
  • Mistral Largectx 128K · inout
  • Auto Routerctx 2M · inVariableoutVariable

Prices per 1M tokens, flat 3% fee included. Hover or tap a price for the math.

How to choose

First, check what the model actually outputs — most of this list is text+image->text; only a handful (Nano Banana 2, Nano Banana Pro, GPT-5.4 Image 2) return images. Don't pay for image-gen pricing if you're just doing vision Q&A. Second, input breadth varies a lot: MiMo-V2.5 and Gemini 3.5 Flash take audio+video, while most Claude and GPT variants stop at image+file. Third, price spread is large even within capability tiers — Claude Opus 4.7 (Fast) runs $30/$150 per M against Claude Opus 4.7's $5/$25 for similar modality, so check if you actually need the fast variant before defaulting to it.

Questions

Which multimodal model on OpenKey can generate images, not just read them?
Look for text+image->text+image models: Nano Banana 2 Lite ($0.25/$1.5 per M), Nano Banana 2 ($0.5/$3), Nano Banana Pro ($2/$12), and GPT-5.4 Image 2 ($8/$15). Most other 'multimodal' models in this collection only accept image input and return text.
Is there a free multimodal model on OpenKey?
Yes — 8 of the 170 models in this collection are free, including Nemotron 3 Nano Omni (text+image+audio+video->text) and Gemma 4 26B/31B (text+image+video->text). Fine for testing multimodal pipelines before committing to a paid model.
How does OpenKey price multimodal models?
You pay the provider's list price plus a flat 3% fee. For Claude Opus 4.8 at $5/$25 per M provider price, that's $5.15/$25.75 per M on OpenKey ($5 × 1.03, $25 × 1.03). Same math applies across all 329 models on the platform — one key, one consistent markup.