Класация на AI моделите
Every model you can run on Railwail right now, by category: quality from the public Arena leaderboard, the live price of a default call, the context window and run times measured on our own jobs. Scores only where the arena rates exactly the model we run.
Arena scores published 22.09.2026 г.Run times from Railwail jobs, last 90 days
- Models you can run
- 274
- Labs
- 34
- Categories
- 9
Today’s record holders
Best models by category
Quality from the public Arena, prices from our pricing rules. Open a category to sort by quality, price or value.
Text & chat
16 of 30 rated- Best quality
- Gemini 3.1 ProArena 1487
- Cheapest
- Granite Code 8B0,12 щ.д. / 1M tokens
- Best value
- Gemini 3.1 Pro8 pts/$
Image generation
22 of 66 rated- Best quality
- Qwen Image 3 ProArena 1255
- Cheapest
- Stable Diffusion XL≈ 0,0015 щ.д./стартиране
- Best value
- Nano Banana 2 Lite3828 pts/$
Image editing
7 of 7 rated- Best quality
- Grok Imagine ImageArena 1329
- Cheapest
- Grok Imagine Image0,024 щ.д./изображение
- Best value
- Grok Imagine Image3679 pts/$
Video generation
13 of 27 rated- Best quality
- Google Veo 3.1Arena 1362
- Cheapest
- LTX-Video (Lightricks)≈ 0,0229 щ.д./стартиране
- Best value
- Grok Imagine Video504 pts/$
Image to video
14 of 14 rated- Best quality
- Grok Imagine VideoArena 1415
- Cheapest
- Seedance Lite0,0432 щ.д./s
- Best value
- Grok Imagine Video556 pts/$
9 models
Filter by labTap a lab to filter every board.
Language models
30Chat, reasoning and code models billed per token. Sorted by Arena score, highest first; models without a rating follow by price.
| Actions | ||||||
|---|---|---|---|---|---|---|
Claude Opus 4.7 Arena 1494 · 30,00 щ.д./1M изх · 1 млн. ctx | 1494 | 6,00 щ.д./1M вх6,00 щ.д. | 30,00 щ.д. | 1 млн. | · | Try |
Gemini 3.1 Pro Arena 1487 · 14,40 щ.д./1M изх · 1 млн. ctx | 1487 | 2,40 щ.д./1M вх2,40 щ.д. | 14,40 щ.д. | 1 млн. | · | Try |
GPT-5.5 Arena 1476 · 36,00 щ.д./1M изх · 400 хил. ctx | 1476 | 6,00 щ.д./1M вх6,00 щ.д. | 36,00 щ.д. | 400 хил. | · | Try |
Gemini 3 Flash Arena 1474 · 3,60 щ.д./1M изх · 1 млн. ctx | 1474 | 0,60 щ.д./1M вх0,60 щ.д. | 3,60 щ.д. | 1 млн. | · | Try |
Claude Opus 4.8 Arena 1473 · 30,00 щ.д./1M изх · 1 млн. ctx · median 2,3 s | 1473 | 6,00 щ.д./1M вх6,00 щ.д. | 30,00 щ.д. | 1 млн. | 2,3 s15 runs | Try |
Claude Sonnet 4.6 Arena 1473 · 18,00 щ.д./1M изх · 1 млн. ctx | 1473 | 3,60 щ.д./1M вх3,60 щ.д. | 18,00 щ.д. | 1 млн. | · | Try |
GPT-5.4 Arena 1466 · 18,00 щ.д./1M изх · 1,1 млн. ctx | 1466 | 3,00 щ.д./1M вх3,00 щ.д. | 18,00 щ.д. | 1,1 млн. | · | Try |
Gemini 2.5 Pro Arena 1446 · 12,00 щ.д./1M изх · 1 млн. ctx | 1446 | 1,50 щ.д./1M вх1,50 щ.д. | 12,00 щ.д. | 1 млн. | · | Try |
GPT-5.1 Arena 1439 · 12,00 щ.д./1M изх · 400 хил. ctx | 1439 | 1,50 щ.д./1M вх1,50 щ.д. | 12,00 щ.д. | 400 хил. | · | Try |
OpenAI o3 Arena 1432 · 9,60 щ.д./1M изх · 200 хил. ctx | 1432 | 2,40 щ.д./1M вх2,40 щ.д. | 9,60 щ.д. | 200 хил. | · | Try |
| Claude Haiku 4.5 Anthropic | 1,20 щ.д./1M вх | |||||
| GPT-4.1 OpenAI | 2,40 щ.д./1M вх | |||||
| OpenAI o4-mini OpenAI | 1,32 щ.д./1M вх | |||||
| o3-mini OpenAI | 1,32 щ.д./1M вх | |||||
| GPT-4o OpenAI | 3,00 щ.д./1M вх | |||||
| GPT-4o Mini OpenAI | 0,18 щ.д./1M вх | |||||
| Granite Code 8B IBM | 0,060 щ.д./1M вх | |||||
| GPT-6 Luna OpenAI | 0,12 щ.д./1M вх | |||||
| Granite Code 20B IBM | 0,12 щ.д./1M вх | |||||
| GPT-5.4 Nano OpenAI | 0,24 щ.д./1M вх | |||||
| GPT-5 Mini OpenAI | 0,30 щ.д./1M вх | |||||
| DeepSeek V4 Flash DeepSeek | 0,36 щ.д./1M вх | |||||
| DeepSeek V4.1 Flash DeepSeek | 0,36 щ.д./1M вх | |||||
| GPT-5.4 Mini OpenAI | 0,90 щ.д./1M вх | |||||
| DeepSeek V4 Pro DeepSeek | 1,584 щ.д./1M вх | |||||
| Claude Sonnet 5 Anthropic | 2,40 щ.д./1M вх | |||||
| GPT-6 Sol OpenAI | 2,40 щ.д./1M вх | |||||
| Claude Opus 5.5 Anthropic | 4,80 щ.д./1M вх | |||||
| Claude Fable 5.1 Anthropic | 12,00 щ.д./1M вх | |||||
| GPT-6 Astra OpenAI | 12,00 щ.д./1M вх |
Arena scores: Text Arena leaderboard by LMArena, published 13.09.2026 г., CC BY 4.0.Ranked by quality, price and value →
A usage column appears once 5 models have runs from 3 or more different accounts in 30 days.
Image generation & editing
83/134Text-to-image, editing, upscaling and background removal. Sorted by Arena score, highest first; models without a rating follow by price.
| Actions | |||
|---|---|---|---|
Qwen Image 3 Pro Arena 1255 | 1255 | 0,048 щ.д./изображение | Try |
Nano Banana 2 Lite Arena 1250 | 1250 | 0,0408 щ.д./изображение | Try |
Ideogram V4 Quality Arena 1204 | 1204 | 0,12 щ.д./изображение | Try |
Grok Imagine Image Arena 1171 | 1171 | 0,024 щ.д./изображение | Try |
Recraft V4.1 Utility Pro Arena 1169 | 1169 | 0,30 щ.д./изображение | Try |
Hunyuan Image 3 Arena 1151 | 1151 | 0,096 щ.д./изображение | Try |
Nano Banana Arena 1150 | 1150 | 0,0468 щ.д./изображение | Try |
Recraft V4.1 Pro Arena 1131 | 1131 | 0,30 щ.д./изображение | Try |
Google Imagen 4 Arena 1129 | 1129 | 0,048 щ.д./изображение | Try |
Qwen Image 2512 Arena 1125 | 1125 | 0,024 щ.д./изображение | Try |
| Recraft V4 Recraft | 0,048 щ.д./изображение | ||
| Flux Kontext Max Black Forest Labs | 0,096 щ.д./изображение | ||
| Flux Kontext Pro Black Forest Labs | 0,048 щ.д./изображение | ||
| Qwen Image Alibaba (Qwen) | 0,030 щ.д./изображение | ||
| Ideogram v3 Quality Ideogram | 0,108 щ.д./изображение | ||
| Photon Luma AI | 0,036 щ.д./изображение | ||
| P Image Pruna AI | 0,0060 щ.д./изображение | ||
| Gen4 Image Runway | 0,096 щ.д./изображение | ||
| Recraft V3 Recraft | 0,048 щ.д./изображение | ||
| FLUX 1.1 Pro Black Forest Labs | 0,048 щ.д./изображение | ||
| Ideogram v2 Ideogram | 0,096 щ.д./изображение | ||
| Stable Diffusion 3.5 Large Stability AI | 0,078 щ.д./изображение | ||
| 851-Labs Background Remover Community | ≈ 0,00050 щ.д./стартиране | ||
| Remove Background (lucataco) Community | ≈ 0,00060 щ.д./стартиране | ||
| Remove Object (LaMa) Community | ≈ 0,00090 щ.д./стартиране | ||
| DDColor Community | ≈ 0,0012 щ.д./стартиране | ||
| Html To Image Community | 0,0012 щ.д./изображение | ||
| Stable Diffusion XL Stability AI | ≈ 0,0015 щ.д./стартиране | ||
| Vectorizer (VTracer) Community | ≈ 0,0022 щ.д./стартиране | ||
| Real-ESRGAN 4x Community | 0,0024 щ.д./изображение | ||
| SDXL Inpainting Community | ≈ 0,0026 щ.д./стартиране | ||
| GFPGAN v1.4 Tencent ARC | ≈ 0,0027 щ.д./стартиране | ||
| BiRefNet Background Removal Community | ≈ 0,0036 щ.д./стартиране | ||
| FLUX.1 [schnell] Black Forest Labs | 0,0036 щ.д./изображение | ||
| FLUX.1 Redux Black Forest Labs | 0,0036 щ.д./изображение | ||
| Consistent Character Community | ≈ 0,0038 щ.д./стартиране | ||
| InstructPix2Pix Community | ≈ 0,0039 щ.д./стартиране | ||
| CodeFormer Community | ≈ 0,0041 щ.д./стартиране | ||
| Rembg Community | ≈ 0,0047 щ.д./стартиране | ||
| Real-ESRGAN Anime 4x Community | ≈ 0,0051 щ.д./стартиране | ||
| Sticker Maker Community | ≈ 0,0055 щ.д./стартиране | ||
| Flux Fast Community | 0,0060 щ.д./изображение | ||
| Hidream L1 Fast Community | 0,0060 щ.д./изображение | ||
| PhotoMaker Tencent ARC | ≈ 0,0080 щ.д./стартиране | ||
| Swin2SR Community | ≈ 0,0088 щ.д./стартиране | ||
| Icons (SDXL Flat Pop) Community | ≈ 0,0094 щ.д./стартиране | ||
| Bringing Old Photos Back to Life Microsoft | ≈ 0,010 щ.д./стартиране | ||
| Face to Many Community | ≈ 0,0105 щ.д./стартиране | ||
| Image 01 MiniMax | 0,012 щ.д./изображение | ||
| Photon Flash Luma AI | 0,012 щ.д./изображение | ||
| Recraft Vectorize Recraft | 0,012 щ.д./изображение | ||
| ControlNet Depth Community | ≈ 0,0144 щ.д./стартиране | ||
| SDXL Emoji Community | ≈ 0,0156 щ.д./стартиране | ||
| Janus Pro 7B DeepSeek | ≈ 0,0169 щ.д./стартиране | ||
| FLUX PuLID Community | ≈ 0,018 щ.д./стартиране | ||
| Lucid Origin Community | 0,0201 щ.д./изображение | ||
| BRIA Remove Background Bria AI | 0,0216 щ.д./изображение | ||
| Clarity Upscaler Community | ≈ 0,024 щ.д./стартиране | ||
| Hunyuan Image 2.1 Tencent | 0,024 щ.д./изображение | ||
| Wan 2.2 Image Community | 0,024 щ.д./изображение | ||
| Recraft 20B Recraft | 0,0264 щ.д./изображение | ||
| IDM-VTON (Virtual Try-On) Community | ≈ 0,0277 щ.д./стартиране | ||
| IP-Adapter FaceID Plus v2 Community | ≈ 0,0277 щ.д./стартиране | ||
| Face to Sticker Community | ≈ 0,0289 щ.д./стартиране | ||
| Flux Krea Dev Black Forest Labs | 0,030 щ.д./изображение | ||
| FLUX.1 [dev] Black Forest Labs | 0,030 щ.д./изображение | ||
| FLUX.1 Canny [dev] Black Forest Labs | 0,030 щ.д./изображение | ||
| FLUX.1 Depth [dev] Black Forest Labs | 0,030 щ.д./изображение | ||
| FLUX.1 Kontext [dev] Black Forest Labs | 0,030 щ.д./изображение | ||
| Ideogram V2A Turbo Ideogram | 0,030 щ.д./изображение | ||
| Ideogram v3 Turbo Ideogram | 0,036 щ.д./изображение | ||
| Qwen Image 3 Alibaba (Qwen) | 0,036 щ.д./изображение | ||
| Qwen-Image-Edit Alibaba (Qwen) | 0,036 щ.д./изображение | ||
| Seedream 4 ByteDance | 0,036 щ.д./изображение | ||
| Wan 2.7 Image Alibaba (Wan) | 0,036 щ.д./изображение | ||
| Wan 2.7 Image Pro Alibaba (Wan) | 0,036 щ.д./изображение | ||
| LogoAI (SDXL Logo Generator) Community | ≈ 0,0372 щ.д./стартиране | ||
| Flux Dev Black Forest Labs | 0,0384 щ.д./изображение | ||
| Qwen Image 2 Alibaba (Qwen) | 0,042 щ.д./изображение | ||
| Seedream 5 Lite ByteDance | 0,042 щ.д./изображение | ||
| Stable Diffusion 3 Stability AI | 0,042 щ.д./изображение | ||
| Stable Diffusion 3.5 Medium Stability AI | 0,042 щ.д./изображение | ||
| TRELLIS (3D) Community | ≈ 0,042 щ.д./стартиране | ||
| ESRGAN Classic Community | ≈ 0,0468 щ.д./стартиране | ||
| Fibo Bria AI | 0,048 щ.д./изображение | ||
| FLUX.1 Fill [dev] Black Forest Labs | 0,048 щ.д./изображение | ||
| Grok Imagine Image 2 xAI | 0,048 щ.д./изображение | ||
| Ideogram V2A Ideogram | 0,048 щ.д./изображение | ||
| Image 3.2 Bria AI | 0,048 щ.д./изображение | ||
| Professional Headshot (FLUX Kontext) Black Forest Labs | 0,048 щ.д./изображение | ||
| Recraft V4.1 Recraft | 0,048 щ.д./изображение | ||
| Recraft V4.1 Utility Recraft | 0,048 щ.д./изображение | ||
| Seedream 4.5 ByteDance | 0,048 щ.д./изображение | ||
| Stable Diffusion 3.5 Large Turbo Stability AI | 0,048 щ.д./изображение | ||
| Recraft 20B SVG Recraft | 0,0528 щ.д./изображение | ||
| Magnific-Style Upscaler Community | ≈ 0,0589 щ.д./стартиране | ||
| FLUX.1 Canny Black Forest Labs | 0,060 щ.д./изображение | ||
| FLUX.1 Depth Black Forest Labs | 0,060 щ.д./изображение | ||
| FLUX.1 Fill Black Forest Labs | 0,060 щ.д./изображение | ||
| Ideogram V2 Turbo Ideogram | 0,060 щ.д./изображение | ||
| AuraFlow v0.3 Community | ≈ 0,0648 щ.д./стартиране | ||
| Flux Pro Black Forest Labs | 0,066 щ.д./изображение | ||
| Ad Inpaint (Product Photo) Community | ≈ 0,0672 щ.д./стартиране | ||
| ControlNet Canny Community | ≈ 0,0697 щ.д./стартиране | ||
| Point-E Community | ≈ 0,0708 щ.д./стартиране | ||
| Flux 1.1 Pro Ultra Black Forest Labs | 0,072 щ.д./изображение | ||
| Ideogram V3 Balanced Ideogram | 0,072 щ.д./изображение | ||
| Ideogram V4 Balanced Ideogram | 0,072 щ.д./изображение | ||
| Playground v2.5 (1024px Aesthetic) Playground AI | ≈ 0,0732 щ.д./стартиране | ||
| IC-Light (Product Relighting) Community | ≈ 0,0781 щ.д./стартиране | ||
| Nano Banana 2 Google DeepMind | 0,0804 щ.д./изображение | ||
| InstantID Community | ≈ 0,084 щ.д./стартиране | ||
| Rd Animation Community | 0,084 щ.д./изображение | ||
| Kuaishou Kolors Community | ≈ 0,0889 щ.д./стартиране | ||
| FLUX.1-dev Inpainting Community | ≈ 0,090 щ.д./стартиране | ||
| Qwen Image 2 Pro Alibaba (Qwen) | 0,090 щ.д./изображение | ||
| Cartoonify Community | ≈ 0,096 щ.д./стартиране | ||
| Recraft v3 SVG Recraft | 0,096 щ.д./изображение | ||
| Recraft V4 SVG Recraft | 0,096 щ.д./изображение | ||
| Shap-E (OpenAI) Community | ≈ 0,1116 щ.д./стартиране | ||
| Gpt Image 2 OpenAI | 0,1536 щ.д./изображение | ||
| Hunyuan3D 2.0 Tencent | ≈ 0,156 щ.д./стартиране | ||
| Gpt Image 1.5 OpenAI | 0,1632 щ.д./изображение | ||
| Nano Banana Pro Google DeepMind | 0,18 щ.д./изображение | ||
| OOTDiffusion (Try-On) Community | ≈ 0,1801 щ.д./стартиране | ||
| Hunyuan3D 2.1 Community | ≈ 0,264 щ.д./стартиране | ||
| CCSR (Content-Consistent SR) Community | ≈ 0,2761 щ.д./стартиране | ||
| Gpt Image 2.5 Flare OpenAI | 0,30 щ.д./изображение | ||
| Gpt Image 2.5 Sunburst OpenAI | 0,30 щ.д./изображение | ||
| Recraft V4 Pro Recraft | 0,30 щ.д./изображение | ||
| SUPIR Upscaler Community | ≈ 0,30 щ.д./стартиране | ||
| SUPIR Community | ≈ 0,4921 щ.д./стартиране | ||
| StarVector 8B (image-to-SVG) Community | 0,00117 щ.д./GPU s | ||
| DreamGaussian Community | 0,00168 щ.д./GPU s |
Arena scores: Text-to-Image Arena leaderboard by LMArena, published 22.09.2026 г., CC BY 4.0.Ranked by quality, price and value →
Video generation
31/46Text-to-video and image-to-video. Sorted by Arena score, highest first; models without a rating follow by price.
| Actions | ||||
|---|---|---|---|---|
Google Veo 3.1 Arena 1362 | 1362 | 0,48 щ.д./s1,92 щ.д. for 4 s | · | Try |
Google Veo 3.1 Fast Arena 1358 | 1358 | 0,18 щ.д./s0,72 щ.д. for 4 s | · | Try |
Grok Imagine Video Arena 1342 · median 48 s | 1342 | 0,060 щ.д./s0,30 щ.д. for 5 s | 48 s31 runs | Try |
PixVerse v5.6 Arena 1240 | 1240 | 0,084 щ.д./s0,42 щ.д. for 5 s | · | Try |
Runway Gen 4.5 Arena 1225 | 1225 | 0,144 щ.д./s0,72 щ.д. for 5 s | · | Try |
Hailuo 2.3 Arena 1206 | 1206 | 0,336 щ.д./видео | · | Try |
Seedance Pro Arena 1191 | 1191 | 0,18 щ.д./s0,90 щ.д. for 5 s | · | Try |
MiniMax Hailuo 02 Arena 1181 | 1181 | 0,324 щ.д./видео | · | Try |
Google Veo 2 Arena 1164 | 1164 | 0,60 щ.д./s4,80 щ.д. for 8 s | · | Try |
Kling v2.1 Master Arena 1163 | 1163 | 0,336 щ.д./s1,68 щ.д. for 5 s | · | Try |
| Seedance Lite ByteDance | 0,0432 щ.д./s | |||
| Luma Ray-2 720p Luma AI | 0,216 щ.д./s | |||
| Mochi 1 Genmo | ≈ 0,5041 щ.д./стартиране | |||
| FILM Frame Interpolation Google Research | ≈ 0,0016 щ.д./стартиране | |||
| Wav2Lip Community | ≈ 0,0067 щ.д./стартиране | |||
| LTX-Video (Lightricks) Lightricks | ≈ 0,0229 щ.д./стартиране | |||
| SwinIR Video Community | ≈ 0,0277 щ.д./стартиране | |||
| Wan 2.2 5B Fast Alibaba (Wan) | 0,030 щ.д./видео | |||
| RIFE Frame Interpolation Community | ≈ 0,0444 щ.д./стартиране | |||
| Wan 2.2 Image-to-Video Alibaba (Wan) | 0,060 щ.д./видео | |||
| Wan 2.2 Text-to-Video Alibaba (Wan) | 0,060 щ.д./видео | |||
| MuseTalk Community | ≈ 0,0624 щ.д./стартиране | |||
| ToonCrafter Community | ≈ 0,0852 щ.д./стартиране | |||
| LivePortrait Community | ≈ 0,0949 щ.д./стартиране | |||
| SadTalker Community | ≈ 0,1165 щ.д./стартиране | |||
| AnimateDiff Community | ≈ 0,1201 щ.д./стартиране | |||
| VideoCrafter Community | ≈ 0,1561 щ.д./стартиране | |||
| Kling v2.1 Kuaishou (Kling) | 0,060 щ.д./s | |||
| Runway Gen-4 Turbo Runway | 0,060 щ.д./s | |||
| Luma Ray Flash 2 Luma AI | 0,072 щ.д./s | |||
| Seedance 1 Pro Fast ByteDance | 0,072 щ.д./s | |||
| CogVideoX-5B (open) Zhipu AI | ≈ 0,4081 щ.д./стартиране | |||
| MagicAnimate Community | ≈ 0,4081 щ.д./стартиране | |||
| Kling V2.5 Turbo Pro Kuaishou (Kling) | 0,084 щ.д./s | |||
| EchoMimic Community | ≈ 0,48 щ.д./стартиране | |||
| Mochi 1 Community | ≈ 0,5041 щ.д./стартиране | |||
| CogVideoX-5B Community | ≈ 0,60 щ.д./стартиране | |||
| Minimax Video MiniMax | 0,60 щ.д./видео | |||
| Wan 3 Alibaba (Qwen) | 0,12 щ.д./s | |||
| Google Veo 3 Fast Google DeepMind | 0,18 щ.д./s | |||
| Kling v3 Kuaishou (Kling) | 0,2688 щ.д./s | |||
| Kling v3 Omni Kuaishou (Kling) | 0,2688 щ.д./s | |||
| HunyuanVideo Tencent | ≈ 3,06 щ.д./стартиране | |||
| Google Veo 3 (Replicate) Google DeepMind | 0,48 щ.д./s | |||
| AnimateDiff Lightning Community | 0,00117 щ.д./GPU s | |||
| V-Express Community | 0,00168 щ.д./GPU s |
Arena scores: Text-to-Video Arena leaderboard by LMArena, published 22.09.2026 г., CC BY 4.0.Ranked by quality, price and value →
Text to speech
7/14Voices from text, including voice cloning. Sorted by the price of one default call, lowest first.
| Actions | ||
|---|---|---|
| 0,018 щ.д./1 000 знака | Try | |
| 0,024 щ.д./1 000 знака | Try | |
| 0,030 щ.д./1 000 знака | Try | |
| 0,036 щ.д./1 000 знака | Try | |
| Kokoro TTS 82M Community | ≈ 0,00030 щ.д./стартиране | |
| StyleTTS 2 Community | ≈ 0,00040 щ.д./стартиране | |
| Parler-TTS Community | ≈ 0,0024 щ.д./стартиране | |
| Spark TTS Community | ≈ 0,0035 щ.д./стартиране | |
| ≈ 0,0157 щ.д./стартиране | Try | |
| RVC Voice Conversion Community | ≈ 0,0505 щ.д./стартиране | |
| ≈ 0,0576 щ.д./стартиране | Try | |
| OpenVoice v2 Community | ≈ 0,0673 щ.д./стартиране | |
| Tortoise TTS Community | ≈ 0,0816 щ.д./стартиране | |
| ≈ 0,0972 щ.д./стартиране | Try |
Speech to text
5Transcription and speaker diarization. Sorted by the price of one default call, lowest first.
Vision & multimodal
30Open models that caption, read or segment images, billed by GPU time. Sorted by the price of one default call, lowest first.
| Actions | ||
|---|---|---|
| ≈ 0,00030 щ.д./стартиране | Try | |
| ≈ 0,00030 щ.д./стартиране | Try | |
| ≈ 0,00030 щ.д./стартиране | Try | |
| ≈ 0,00060 щ.д./стартиране | Try | |
| ≈ 0,0012 щ.д./стартиране | Try | |
| ≈ 0,0012 щ.д./стартиране | Try | |
| ≈ 0,0012 щ.д./стартиране | Try | |
| ≈ 0,0012 щ.д./стартиране | Try | |
| ≈ 0,0014 щ.д./стартиране | Try | |
| ≈ 0,0015 щ.д./стартиране | Try | |
| MiniCPM-V 2.6 Community | ≈ 0,0015 щ.д./стартиране | |
| Moondream2 Community | ≈ 0,0020 щ.д./стартиране | |
| Qwen2-VL 7B Instruct Community | ≈ 0,0024 щ.д./стартиране | |
| Llama 3.2 Vision 11B (Ollama) Community | ≈ 0,0039 щ.д./стартиране | |
| Depth Anything v2 Community | ≈ 0,0050 щ.д./стартиране | |
| Llama 3.2 Vision 90B Community | ≈ 0,0070 щ.д./стартиране | |
| DeepSeek-VL 7B DeepSeek | ≈ 0,0086 щ.д./стартиране | |
| GLPN Depth Community | ≈ 0,0094 щ.д./стартиране | |
| CogVLM2 19B Community | ≈ 0,0114 щ.д./стартиране | |
| Dots OCR Community | ≈ 0,0132 щ.д./стартиране | |
| SAM 2 (Segment Anything 2) Meta | ≈ 0,018 щ.д./стартиране | |
| olmOCR Community | ≈ 0,0205 щ.д./стартиране | |
| PaddleOCR v3 Community | ≈ 0,0216 щ.д./стартиране | |
| Mask2Former Meta | ≈ 0,0276 щ.д./стартиране | |
| Lotus-G Community | ≈ 0,0408 щ.д./стартиране | |
| CLIP Interrogator Community | ≈ 0,0457 щ.д./стартиране | |
| Molmo 7B Community | ≈ 0,0505 щ.д./стартиране | |
| Donut Document Community | ≈ 0,0648 щ.д./стартиране | |
| Marigold Community | ≈ 0,0936 щ.д./стартиране | |
| LLaVA 1.6 Vicuna 13B Community | ≈ 0,1021 щ.д./стартиране |
Open-weight text & code
10Open models on dedicated GPUs, billed by GPU time. Sorted by the price of one default call, lowest first.
Music & audio
3Music and sound generation. Sorted by the price of one default call, lowest first.
Embeddings
2Vectors for search and retrieval, billed per token. Sorted by input price per 1M tokens, lowest first.
| Actions | |||
|---|---|---|---|
OpenAI text-embedding-3-small 8,2 хил. ctx | 0,024 щ.д./1M вх | 8,2 хил. | Try |
OpenAI text-embedding-3-large 8,2 хил. ctx | 0,156 щ.д./1M вх | 8,2 хил. | Try |
How this leaderboard works
Every figure comes from our catalog, our pricing rules, our own job records or, for quality, the public Arena leaderboard. What we cannot source, we leave out.
- What is listed
- Only models you can run right now: active and with a verified price. Left out: 130 catalog entries without a price (they cannot run), 0 removed models and 5 duplicate entries of the same provider model. Legacy models stay listed and link their successor.
- Price
- What one call with the model’s default settings costs on Railwail, from the same pricing rules that bill your runs (1 credit = $0.01). Token models show the price per 1M input and output tokens. Prices marked ≈ are billed by GPU time: the figure is a typical run, the charge follows the real run time.
- Median run time
- Measured on completed Railwail jobs: the median of the newest up to 500 runs in the last 90 days, shown from 5 runs. It includes queueing at the provider. For language models it depends on the answer length, so the LLM board is never sorted by speed. Measured today: 3 models.
- Quality
- Arena scores from the public Arena leaderboard (formerly LMArena, CC BY 4.0), where people compare two anonymous models on the same prompt and vote. A model gets a score only when the arena entry is exactly the model and default setting we run (reviewed list, 56 models today). No score is estimated.
- Context window
- The maximum tokens per request as listed in our catalog. Not re-measured by us.
- Usage
- Runs per model are only shown once they say something: at least 5 models with runs from 3 or more different accounts in 30 days. Until then there is no popularity ranking.
- What we don’t show
- No votes of our own and no estimated scores: our own arena has 0 decided battles and 2 model votes, far too few for a rating. Models the public Arena has not rated in the setting we run show “No Arena rating”.
Source:arena.ai leaderboardDatasetCC BY 4.0
Found a wrong price or a missing model? Write to us
Questions about the leaderboard
Which language model is the cheapest on Railwail?
Right now Granite Code 8B by IBM at 0,060 щ.д./1M вх (output 0,30 щ.д./1M изх). The language model board lists all 30 language models by input price.
Which model has the largest context window?
GPT-5.4 by OpenAI with 1,1 млн. tokens per request, as listed in our catalog.
What is the lowest price per image?
FLUX.1 [schnell] by Black Forest Labs at 0,0036 щ.д./изображение. Models billed by GPU time can cost less per run; their price, marked ≈, is a typical run and the charge follows the real run time.
Where do the quality scores come from?
From the public Arena leaderboard (formerly LMArena): people compare two anonymous models on the same prompt and vote for the better result; the votes give each model a score. We use the published leaderboards (text: 13.09.2026 г., image and video: 22.09.2026 г.) under CC BY 4.0 and show a score only where the arena rates exactly the model and default setting that runs on Railwail.
How current are the prices?
They come from the same pricing rules that bill your runs and were last checked on 24.09.2026 г.. The snapshot on this page is refreshed about once an hour.
How do I run one of these models?
Open the model and try it on its page, or create an account, get an API key and call it through the Railwail API at https://railwail.com/api/v1. Your balance is prepaid in USD; runs are billed by the same pricing rules as the prices shown here.
Keep exploring
One key, one balance in USD, every model on this page.
Get an API key