Empowering developers and democratising coding with Mistral AI.
Codestral is appreciated for its advanced features and capabilities in AI, as evidenced by multiple mentions on platforms like YouTube, hinting at a dedicated following. However, detailed user reviews and specific pricing feedback are sparse, making it difficult to gauge precise complaints or sentiment about its cost. Its online reputation seems to be growing, but the lack of explicit positive or negative feedback suggests it is still gaining traction and wide recognition. Overall, Codestral holds potential but needs more exposure and comprehensive user reviews to fully establish itself in the market.
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Codestral is appreciated for its advanced features and capabilities in AI, as evidenced by multiple mentions on platforms like YouTube, hinting at a dedicated following. However, detailed user reviews and specific pricing feedback are sparse, making it difficult to gauge precise complaints or sentiment about its cost. Its online reputation seems to be growing, but the lack of explicit positive or negative feedback suggests it is still gaining traction and wide recognition. Overall, Codestral holds potential but needs more exposure and comprehensive user reviews to fully establish itself in the market.
Features
Use Cases
Industry
information technology & services
Employees
1,100
Funding Stage
Debt Financing
Total Funding
$4.2B
I built an MCP for HuggingFace publish workflows and am looking for feedback before expanding it.
(Repost because I messed up on a lot of things while posting) Basically....I started out trying to fine tune my own models 2 months ago. I was sort of unsure about how to do proper model cards, tagging, etc. I used to upload models using Unsloth in my Nvidia PC or Kaggle or Colab. I am still very new to this and one day I saw codestrate/Llama3.2-3B-Claude-Reasoning-Distill getting a lot of downloads. Most people told me it was AI bots archive downloading new stuff, but after all this time it still gets attention and likes (despite it being my 3rd or 4th attempt and a bad one at that). I was motivated that despite choosing a hard skill during this bad phase of losing my job in April, I could make things that other people might like and even appreciate. Bit the Bullet and got Claude Pro with my remaining salary. Taking inspiration from the Github MCP and my personal battle with model cards and managing my models on my profile in general, I started building HF Publish this month and published it on npmjs. I used Claude Sonnet 4.6 for my coding agent who basically helped plan out the most complicated model edit tool and the later quant tool using gguf-my-repo space but didn't work out yet... npm package: https://www.npmjs.com/package/hf-publish-mcp (currently on version 1.0.3 and 450+ downloads) GitHub source: https://github.com/CodeStrate/hf-publish-mcp Now I know the official MCP for HuggingFace exists but it's a wrapper for the CLI essentially, and to be frank I didn't do a whole lot. I added the functionality to let the Agent format your model cards (like Github READMEs) and upload models on your behalf while you do something else. Here's a basic rundown of what features you may find: List and Upload List and Inspect your repos. Official MCP does that too, mine's just focused on the user's own repos, not the entire HuggingFace library. Upload Models/Adapters. So far very painless, but sometimes HF doesn't like your network so big uploads can be slow. Currently uploads can stop if the agent stops or sleeps. but local Job management ftw xd. Model Card created by CC Manage your model card. The "standout" feature I wanted to have like Github. It can do surgical small edits, big rewrites, or update your metadata, your call. There's a `dryRun` flag so destructive edits can be reviewed in a diff before you commit. Updating Model Cards I've also been working on two features to merge and quantise your fine-tuned adapter models on the cloud via Spaces, but can't get the OAuth working at all headlessly without going through the Browser route. So I have currently left it out from the package currently. Would love some help for if anyone finds the idea interesting. Model on HuggingFace (made via MCP) I have also been pondering on how to showcase the application using a demo GIF on the Github/package page, so any feedback on it would be extremely helpful. Made it with much love and care and got to learn a lot from whatever I have currently got on there. Maybe someone sharing the same sentiment would give tips? I wholeheartedly appreciate any feedback or criticism I can learn from to improve this further. submitted by /u/FlimsyCricket8710 [link] [comments]
View originalchore(pricing): Update vertex-ai pricing
## 🔄 Pricing Update: vertex-ai ### 📊 Summary (complete_diff mode) | Change Type | Count | |-------------|-------| | ➕ Models added | 70 | | 🔄 Models updated (merged) | 24 | ### ➕ New Models - `gemini-2.5-computer-use-preview-10-2025` - `gemini-2.5-flash-preview-09-2025` - `gemini-2.5-flash-lite-preview-09-2025` - `gemini-3.1-flash-lite-preview` - `imagen-3.0-generate-002` - `imagen-3.0-capability-002` - `imagen-product-recontext-preview-06-30` - `text-embedding-large-exp-03-07` - `multimodalembedding` - `gpt-oss` - `gpt-oss-120b-maas` - `whisper-large` - `mistral` - `mixtral` - `mistral-small-2503` - `codestral-2501-self-deploy` - `mistral-ocr-2505` - `mistral-medium-3` - `codestral-2` - `ministral-3` - ... and 50 more ### 🔄 Updated Models - `gemini-2.5-pro` - `gemini-2.5-flash` - `gemini-2.5-flash-lite` - `gemini-2.5-flash-image` - `gemini-2.5-flash-image-preview` - `gemini-3.1-pro-preview` - `gemini-3-pro-preview` - `gemini-3-pro-image-preview` - `imagen-4.0-generate-001` - `imagen-4.0-fast-generate-001` - `imagen-4.0-ultra-generate-001` - `imagen-4.0-generate-preview-06-06` - `imagen-4.0-fast-generate-preview-06-06` - `imagen-4.0-ultra-generate-preview-06-06` - `imagen-3.0-capability-001` - `veo-3.0-generate-001` - `veo-3.0-fast-generate-001` - `veo-3.0-generate-preview` - `veo-3.0-fast-generate-preview` - `veo-3.1-generate-001` - `veo-3.1-generate-preview` - `veo-3.1-fast-generate-preview` - `text-embedding-005` - `text-multilingual-embedding-002` ## Model-to-Pricing-Page Mapping | Model ID | Publisher / Section | Source | Notes | |----------|-------------------|--------|-------| | `gemini-2.5-pro` | Google – Gemini 2.5 | API | $1.25/$10 input/output (≤200K); cache read $0.125 | | `gemini-2.5-flash` | Google – Gemini 2.5 | API | $0.30/$2.50; cache $0.03; image_token $30/1M | | `gemini-2.5-flash-lite` | Google – Gemini 2.5 | API | $0.10/$0.40; cache $0.01 | | `gemini-2.5-flash-image` | Google – Gemini 2.5 | API | Same as gemini-2.5-flash with image output | | `gemini-2.5-flash-image-preview` | Google – Gemini 2.5 | API | Same as gemini-2.5-flash (preview alias) | | `gemini-2.5-computer-use-preview-10-2025` | Google – Gemini 2.5 | API | Matched as "Gemini 2.5 Pro Computer Use-Preview"; $1.25/$10, no cache | | `gemini-2.5-flash-preview-09-2025` | Google – Gemini 2.5 | API | Preview alias of gemini-2.5-flash; same pricing | | `gemini-2.5-flash-lite-preview-09-2025` | Google – Gemini 2.5 | API | Preview alias of gemini-2.5-flash-lite; same pricing | | `gemini-2.0-flash-001` | Google – Gemini 2.0 | API | $0.15/$0.60; batch $0.075/$0.30 | | `gemini-2.0-flash-lite-001` | Google – Gemini 2.0 | API | $0.075/$0.30; batch $0.0375/$0.15 | | `gemini-3.1-pro-preview` | Google – Gemini 3 | API | $2/$12; cache $0.2; web_search 1.4¢ | | `gemini-3-pro-preview` | Google – Gemini 3 | API | $2/$12; cache $0.2; web_search 1.4¢ | | `gemini-3-pro-image-preview` | Google – Gemini 3 | API | $2/$12; image_token $120/1M; web_search 1.4¢ | | `gemini-3.1-flash-image-preview` | Google – Gemini 3 | API | $0.50/$3; image_token $60/1M; web_search 1.4¢ | | `gemini-3.1-flash-lite-preview` | Google – Gemini 3 | API | $0.25/$1.50; cache $0.025; web_search 1.4¢ | | `gemini-3-flash-preview` | Google – Gemini 3 | API | $0.50/$3; cache $0.05; web_search 1.4¢ | | `imagen-4.0-generate-001` | Google – Imagen | API | Row matched via lookup_variant `imagen-4.0-generate`; $0.04/image | | `imagen-4.0-fast-generate-001` | Google – Imagen | API | Row matched via `imagen-4.0-fast-generate`; $0.02/image | | `imagen-4.0-ultra-generate-001` | Google – Imagen | API | Row matched via `imagen-4.0-ultra-generate`; $0.06/image | | `imagen-4.0-generate-preview-06-06` | Google – Imagen | API | Preview; matched as Imagen 4; $0.04/image | | `imagen-4.0-fast-generate-preview-06-06` | Google – Imagen | API | Preview; matched as Imagen 4 Fast; $0.02/image | | `imagen-4.0-ultra-generate-preview-06-06` | Google – Imagen | API | Preview; matched as Imagen 4 Ultra; $0.06/image | | `imagen-3.0-generate-002` | Google – Imagen | API | Row matched via `imagen-3.0-generate`; $0.04/image | | `imagen-3.0-capability-001` | Google – Imagen | API – price not found | Editing/VQA feature model; no pricing row | | `imagen-3.0-capability-002` | Google – Imagen | API – price not found | Editing/VQA feature model; no pricing row | | `imagen-product-recontext-preview-06-30` | Google – Imagen | API | "Imagen Product Recontext"; $0.12/image | | `veo-2.0-generate-001` | Google – Veo | API | Row matched via `veo-2.0-generate`; $0.50/sec | | `veo-3.0-generate-001` | Google – Veo | API | Row matched as Veo 3 (video+audio rate); $0.40/sec | | `veo-3.0-fast-generate-001` | Google – Veo | API | Row matched as Veo 3 Fast; $0.15/sec | | `veo-3.0-generate-preview` | Google – Veo | API | Preview alias of Veo 3; $0.40/sec | | `veo-3.0-fast-generate-preview` | Google – Veo | API | Preview alias of Veo 3 Fast; $0.15/sec | | `veo-3.1-generate-001` | Google – Veo | API | Row matched as Veo 3.1; $0
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https://t.co/NprSdTLt0v were blockng her communications CIA v Sims, Orlikiw we used Lisa for test case and help from our good friends
View originalAs Twitter changed how they use https://t.co/IsFtL7mngv? Seeing lots of tweets with pluses in the text tweeted from sites today.
As Twitter changed how they use https://t.co/IsFtL7mngv? Seeing lots of tweets with pluses in the text tweeted from sites today.
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Did you know twitter has Big Brother NSA-style "intent bots" filtering all tweets–even those from and about... http://t.co/AW2QQvzkDm
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View originalCodestral uses a tiered pricing model. Visit their website for current pricing details.
Key features include: Download and test Codestral., Use Codestral via its dedicated endpoint, Build with Codestral on la Plateforme, Use Codestral in your favourite coding and building environment., Why Mistral, Explore, Build, Legal.
Codestral is commonly used for: A model fluent in 80+ programming languages, Setting the Bar for Code Generation Performance, Performance..
Codestral integrates with: GitHub, GitLab, Visual Studio Code, JetBrains IDEs, Jupyter Notebooks, Slack, Trello, Asana, Zapier, CircleCI.
Based on user reviews and social mentions, the most common pain points are: token cost.
Based on 15 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
