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  leumon
  It fails the simple clock test for me which Qwen3.8 27B got (nearly) right. given an image of a clock https://files.catbox.moe/kgwa5e.pngI asked it "what time does the clock show?" (both on reasoning: high)DS answered: The clock shows *5:10* (and 45 seconds). Here is the breakdown: * *Hour hand (red, shortest):* Pointing at the *5*. * *Minute hand (green, longest):* Pointing at the *2*, which represents 10 minutes. * *Second hand (blue, medium):* Pointing at the *9*, which represents 45 seconds.Qwen answered: The clock shows *8:10* (with the red second hand on the 5, i.e. *8:10:25*).- *Hour hand* (short, blue) → 8 - *Minute hand* (long, green) → 2 (10 minutes) - *Second hand* (thin, red) → 5 (25 seconds)Correct answer is 08:09:25.
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  ciberado
  DS being unable to precisely view Playwright screenshots is the only thing I really miss from Sonnet. This is promising.> Images are converted into tokens based on their dimensions, and these tokens are billed together with your text tokens.> Before inference, every image is automatically resized:> - Images with a total pixel count below roughly 384×384 are scaled up while preserving their aspect ratio.> - Larger images are scaled down while preserving their aspect ratio so that the total pixel count after resizing is roughly that of an 800×800 image.> As a result, there is an upper bound of 384 tokens per image: for example, a 2000×2000 image and a 5000×5000 image consume the same number of tokens after resizing. When a request contains multiple images, each image is counted independently under the same rule—there is no separate calculation for multi-image requests.400 tokens per image results in 2,500 images per dollar, if I’m not mistaken.edit: format.
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  ttul
  The DeepSWE benchmark they report (59.3%) overlaps with the confidence interval of 5.6-Sol Medium (61% +/- 2%), but likely at 1/18th the cost (they did not report the DeepSWE benchmark cost, but v4-flash had this cost ratio against Sol Medium).Interestingly, v4-flash performed several points worse on DeepSWE at 53% +/- 4%. Assuming this result is verified by DeepSWE officially, it would mark a significant advance in Pareto cost/performance on software engineering tasks.
• jerkstate
  I just ran my image recognition benchmark on it ("is this XXX public landmark"?) and it misses a lot that bytedance seed 2.1 turbo gets right; for example: Asked "Is this Salisbury Cathedral" and supplied a picture of Wells Cathedral, it answers "Yes, the west facade of Salisbury Cathedral". Bytedance seed 2.1 turbo correctly says no. Similar results for a picture of Manhattan Bridge sent as Brooklyn Bridge, Chartres Cathedral sent as Notre Dame, etc. I have a benchmark of 12 such images and seed gets 11/12 and deepseek only gets 6/12.
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  LorenDB
  I've heard that DeepSeek v4 Flash 0731 has frequently assumed that it has vision capabilities and then resorts to inventing text-based image analysis tools when it finds that it actually can't see. In that case, this is a great upgrade for the model.Anecdotally, I had to tell 0731 to refrain from viewing screenshots since it kept breaking its sessions by trying to read images.
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  zmmmmm
  > Larger images are scaled down while preserving their aspect ratio, so that the total pixel count after resizing is roughly that of an 800×800 image.It's useful but for OCR and a lot of other applications it needs to be a bit higher (eg: putting in a full A4 / Letter sized page)
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  BrucecarlL
  Congratulations! DeepSeek has finally gained eyes — the dark days are about to be behind us.
• meetpateltech
  News announcement with benchmarks: https://api-docs.deepseek.com/news/news260821/
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  Johnny_Bonk
  Was this the ox alpha model?
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  gozucito
  800x800 is 640,000 pixels, or 0.64 Megapixels. That is less than the resolution of computer screens from 1995, Super VGA which has around 0.79 MPs.This is useful for a reasonable amount of use-cases, but I think the watershed rez will be around triple that, ~1080p, which is enough for almost anything, except small text and subtle details.
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  wiz21c
  Is there a way to test it online so that one doesn't have to resort to getting an API key and python code ?
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  erikkri
  Hello Ox Alpha?
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  5kyn3t
  For what do you guys use vision in those models? surveillance is the obvious use case... but are there some "nicer" ways to use it?
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  v9v
  Interesting. Wasn't Deepseek's founder saying that they had explicitly decided not to focus on multimodal models at all and were going text-only because they believed it was enough to achieve AGI?
• try-working
  I main V4 Pro at work now, and at home I route between Pro and Flash based on task. Switched to Opus 4.6 for some tasks at work because I needed image input - horrible. So nice to get image input with DS.Edit: I see it has limited resolution. Luckily I just built a vision worker plugin for DSH that routes image input to Kimi K2.6 on Cloudflare.
• pu_pe
  Benchmarks got a little bump from this: https://xcancel.com/deepseek_ai/status/2087864585504305397?s...
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  dsrtslnd23
  will this be open weights?
• promptsphere
  [flagged]
• anon
  undefined
• locitra
  [flagged]
• lzy
  [dead]
• MagicMoonlight
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• jaksdbvqi37u
  [dead]