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 5Anthropic1Mctx 1M · inout
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)Google66Kctx 66K · inout
Fugu UltraSakana AI1Mctx 1M · inout
Nano Banana Pro (Gemini 3 Pro Image)Google66Kctx 66K · inout
Nano Banana 2 (Gemini 3.1 Flash Image)Google131Kctx 131K · inout
Kimi K2.7 CodeMoonshot AI262Kctx 262K · inout
Claude Fable 5Anthropic1Mctx 1M · inout
Nex-N2-ProNex262Kctx 262K · inout
Nemotron 3.5 Content Safety (free)FreeNVIDIA128KFreeFreectx 128K · inFreeoutFree
Qwen3.7 PlusQwen1Mctx 1M · inout
MiniMax M3MiniMax1.0Mctx 1.0M · inout
Step 3.7 FlashStepFun256Kctx 256K · inout
Claude Opus 4.8Anthropic1Mctx 1M · inout
Claude Opus 4.8 (Fast)Anthropic1Mctx 1M · inout
Grok Build 0.1xAI256Kctx 256K · inout
Gemini 3.5 FlashGoogle1.0Mctx 1.0M · inout
Claude Opus 4.7 (Fast)Anthropic1Mctx 1M · inout
Perceptron Mk1Perceptron AI33Kctx 33K · inout
Gemini 3.1 Flash LiteGoogle1.0Mctx 1.0M · inout
GPT Chat LatestOpenAI400Kctx 400K · inout
Mistral Medium 3.5Mistral AI262Kctx 262K · inout
Grok 4.3xAI1Mctx 1M · inout
Nemotron 3 Nano Omni (free)FreeNVIDIA256KFreeFreectx 256K · inFreeoutFree
Qwen3.5 Plus 2026-04-20Qwen1Mctx 1M · inout
Qwen3.6 27BQwen262Kctx 262K · inout
Qwen3.6 35B A3BQwen262Kctx 262K · inout
Qwen3.6 FlashQwen1Mctx 1M · inout
GPT-5.5OpenAI1.1Mctx 1.1M · inout
GPT-5.5 ProOpenAI1.1Mctx 1.1M · inout
MiMo-V2.5Xiaomi1.0Mctx 1.0M · inout
GPT-5.4 Image 2OpenAI272Kctx 272K · inout
Kimi K2.6Moonshot AI262Kctx 262K · inout
Claude Opus 4.7Anthropic1Mctx 1M · inout
Gemma 4 26B A4B Google262Kctx 262K · inout
Gemma 4 26B A4B (free)FreeGoogle262KFreeFreectx 262K · inFreeoutFree
Gemma 4 31BGoogle262Kctx 262K · inout
Gemma 4 31B (free)FreeGoogle262KFreeFreectx 262K · inFreeoutFree
Qwen3.6 PlusQwen1Mctx 1M · inout
GLM 5V TurboZ.ai203Kctx 203K · inout
Grok 4.20xAI2Mctx 2M · inout
Grok 4.20 Multi-AgentxAI2Mctx 2M · inout
Lyria 3 Clip PreviewFreeGoogle1.0MFreeFreectx 1.0M · inFreeoutFree
Lyria 3 Pro PreviewFreeGoogle1.0MFreeFreectx 1.0M · inFreeoutFree
Reka EdgeReka16Kctx 16K · inout
GPT-5.4 MiniOpenAI400Kctx 400K · inout
GPT-5.4 NanoOpenAI400Kctx 400K · inout
Mistral Small 4Mistral AI262Kctx 262K · inout
Seed-2.0-LiteByteDance Seed262Kctx 262K · inout
Qwen3.5-9BQwen262Kctx 262K · inout
GPT-5.4OpenAI1.1Mctx 1.1M · inout
GPT-5.4 ProOpenAI1.1Mctx 1.1M · inout
Gemini 3.1 Flash Lite PreviewGoogle1.0Mctx 1.0M · inout
GPT-5.3 ChatOpenAI128Kctx 128K · inout
Seed-2.0-MiniByteDance Seed262Kctx 262K · inout
Nano Banana 2 (Gemini 3.1 Flash Image Preview)Google131Kctx 131K · inout
Gemini 3.1 Pro Preview Custom ToolsGoogle1.0Mctx 1.0M · inout
Qwen3.5-122B-A10BQwen262Kctx 262K · inout
Qwen3.5-27BQwen262Kctx 262K · inout
Qwen3.5-35B-A3BQwen262Kctx 262K · inout
Qwen3.5-FlashQwen1Mctx 1M · inout
GPT-5.3-CodexOpenAI400Kctx 400K · inout
Gemini 3.1 Pro PreviewGoogle1.0Mctx 1.0M · inout
Claude Sonnet 4.6Anthropic1Mctx 1M · inout
Qwen3.5 397B A17BQwen256Kctx 256K · inout
Qwen3.5 Plus 2026-02-15Qwen1Mctx 1M · inout
Claude Opus 4.6Anthropic1Mctx 1M · inout
Free Models RouterFreeOpenRouter200KFreeFreectx 200K · inFreeoutFree
Kimi K2.5Moonshot AI262Kctx 262K · inout
GPT AudioOpenAI128Kctx 128K · inout
GPT Audio MiniOpenAI128Kctx 128K · inout
GPT-5.2-CodexOpenAI400Kctx 400K · inout
Seed 1.6ByteDance Seed262Kctx 262K · inout
Seed 1.6 FlashByteDance Seed262Kctx 262K · inout
Gemini 3 Flash PreviewGoogle1.0Mctx 1.0M · inout
GPT-5.2OpenAI400Kctx 400K · inout
GPT-5.2 ChatOpenAI128Kctx 128K · inout
GPT-5.2 ProOpenAI400Kctx 400K · inout
Devstral 2 2512Mistral AI262Kctx 262K · inout
GLM 4.6VZ.ai131Kctx 131K · inout
GPT-5.1-Codex-MaxOpenAI400Kctx 400K · inout
Nova 2 LiteAmazon1Mctx 1M · inout
Ministral 3 14B 2512Mistral AI262Kctx 262K · inout
Ministral 3 3B 2512Mistral AI131Kctx 131K · inout
Ministral 3 8B 2512Mistral AI262Kctx 262K · inout
Mistral Large 3 2512Mistral AI262Kctx 262K · inout
Claude Opus 4.5Anthropic200Kctx 200K · inout
Nano Banana Pro (Gemini 3 Pro Image Preview)Google66Kctx 66K · inout
GPT-5.1OpenAI400Kctx 400K · inout
GPT-5.1 ChatOpenAI128Kctx 128K · inout
GPT-5.1-CodexOpenAI400Kctx 400K · inout
GPT-5.1-Codex-MiniOpenAI400Kctx 400K · inout
Nova Premier 1.0Amazon1Mctx 1M · inout
Voxtral Small 24B 2507Mistral AI32Kctx 32K · inout
Sonar Pro SearchPerplexity200Kctx 200K · inout
Nemotron Nano 12B 2 VL (free)FreeNVIDIA128KFreeFreectx 128K · inFreeoutFree
Qwen3 VL 32B InstructQwen262Kctx 262K · inout
GPT-5 Image MiniOpenAI400Kctx 400K · inout
Claude Haiku 4.5Anthropic200Kctx 200K · inout
GPT-5 ImageOpenAI400Kctx 400K · inout
Qwen3 VL 8B InstructQwen256Kctx 256K · inout
Qwen3 VL 8B ThinkingQwen256Kctx 256K · inout
o3 Deep ResearchOpenAI200Kctx 200K · inout
o4 Mini Deep ResearchOpenAI200Kctx 200K · inout
Nano Banana (Gemini 2.5 Flash Image)Google33Kctx 33K · inout
GPT-5 ProOpenAI400Kctx 400K · inout
Qwen3 VL 30B A3B InstructQwen262Kctx 262K · inout
Qwen3 VL 30B A3B ThinkingQwen131Kctx 131K · inout
Claude Sonnet 4.5Anthropic1Mctx 1M · inout
Gemini 2.5 Flash Lite Preview 09-2025Google1.0Mctx 1.0M · inout
GPT-5 CodexOpenAI400Kctx 400K · inout
Qwen3 VL 235B A22B InstructQwen262Kctx 262K · inout
Qwen3 VL 235B A22B ThinkingQwen131Kctx 131K · inout
Mistral Medium 3.1Mistral AI131Kctx 131K · inout
GLM 4.5VZ.ai66Kctx 66K · inout
GPT-5OpenAI400Kctx 400K · inout
GPT-5 ChatOpenAI128Kctx 128K · inout
GPT-5 MiniOpenAI400Kctx 400K · inout
GPT-5 NanoOpenAI400Kctx 400K · inout
Claude Opus 4.1Anthropic200Kctx 200K · inout
Codestral 2508Mistral AI256Kctx 256K · inout
UI-TARS 7B ByteDance128Kctx 128K · inout
Gemini 2.5 Flash LiteGoogle1.0Mctx 1.0M · inout
ERNIE 4.5 VL 424B A47B Baidu131Kctx 131K · inout
Mistral Small 3.2 24BMistral AI128Kctx 128K · inout
Gemini 2.5 FlashGoogle1.0Mctx 1.0M · inout
Gemini 2.5 ProGoogle1.0Mctx 1.0M · inout
o3 ProOpenAI200Kctx 200K · inout
Gemini 2.5 Pro Preview 06-05Google1.0Mctx 1.0M · inout
Claude Opus 4Anthropic200Kctx 200K · inout
Claude Sonnet 4Anthropic1Mctx 1M · inout
Gemini 2.5 Pro Preview 05-06Google1.0Mctx 1.0M · inout
Mistral Medium 3Mistral AI131Kctx 131K · inout
Llama Guard 4 12BMeta AI164Kctx 164K · inout
o3OpenAI200Kctx 200K · inout
o4 MiniOpenAI200Kctx 200K · inout
o4 Mini HighOpenAI200Kctx 200K · inout
GPT-4.1OpenAI1.0Mctx 1.0M · inout
GPT-4.1 MiniOpenAI1.0Mctx 1.0M · inout
GPT-4.1 NanoOpenAI1.0Mctx 1.0M · inout
Llama 4 MaverickMeta AI1.0Mctx 1.0M · inout
Llama 4 ScoutMeta AI10Mctx 10M · inout
o1-proOpenAI200Kctx 200K · inout
Mistral Small 3.1 24BMistral AI128Kctx 128K · inout
Gemma 3 12BGoogle131Kctx 131K · inout
Gemma 3 4BGoogle131Kctx 131K · inout
Gemma 3 27BGoogle131Kctx 131K · inout
Sonar ProPerplexity200Kctx 200K · inout
Sonar Reasoning ProPerplexity128Kctx 128K · inout
SabaMistral AI33Kctx 33K · inout
o3 Mini HighOpenAI200Kctx 200K · inout
Qwen2.5 VL 72B InstructQwen131Kctx 131K · inout
o3 MiniOpenAI200Kctx 200K · inout
SonarPerplexity127Kctx 127K · inout
MiniMax-01MiniMax1.0Mctx 1.0M · inout
o1OpenAI200Kctx 200K · inout
Nova Lite 1.0Amazon300Kctx 300K · inout
Nova Pro 1.0Amazon300Kctx 300K · inout
GPT-4o (2024-11-20)OpenAI128Kctx 128K · inout
Mistral Large 2407Mistral AI131Kctx 131K · inout
Llama 3.2 11B Vision InstructMeta AI131Kctx 131K · inout
GPT-4o (2024-08-06)OpenAI128Kctx 128K · inout
GPT-4o-miniOpenAI128Kctx 128K · inout
GPT-4o-mini (2024-07-18)OpenAI128Kctx 128K · inout
GPT-4oOpenAI128Kctx 128K · inout
GPT-4o (2024-05-13)OpenAI128Kctx 128K · inout
Mixtral 8x22B InstructMistral AI66Kctx 66K · inout
GPT-4 TurboOpenAI128Kctx 128K · inout
Claude 3 HaikuAnthropic200Kctx 200K · inout
Mistral LargeMistral AI128Kctx 128K · inout
Auto RouterOpenRouter2MVariableVariablectx 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.