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Thursday26 items

  5. bchernyModel releases
    AI score64

    English translation is being prepared.

    Quoted postClaude · @claudeai

    Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5. https://t.co/jm06cZJfkV

    Same story · 7 reports

    #Model releases#Anthropic

  8. lydiahallieModel releases
    AI score53

    English translation is being prepared.

    Quoted postClaude · @claudeai

    Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5. https://t.co/jm06cZJfkV

    #Model releases#Anthropic

  10. claudedevsFirst-partyModel releases
    AI score68

    English translation is being prepared.

    Quoted postClaude · @claudeai

    Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5. https://t.co/jm06cZJfkV

    Same story · 7 reports

    #Model releases#Anthropic#English text is being prepared.

  11. anthropicaiModel releases
    AI score58

    English translation is being prepared.

    Quoted postClaude · @claudeai

    Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5. https://t.co/jm06cZJfkV

    #Model releases#Anthropic

  13. adocompleteModel releases
    AI score67

    English translation is being prepared.

    Quoted postClaude · @claudeai

    Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5. https://t.co/jm06cZJfkV

    #Model releases#Anthropic

  14. arenaModel releases
    AI score60

    English translation is being prepared.

    Quoted postArena.ai · @arena

    Mistral Large 4 by @MistralAI just landed in the Code Arena: WebDev at #45. With 1534 pts, this is a +304 pt improvement from Mistral Large 3 at #130! This release also marks a 271-point improvement over its next-best-performing variant, Mistral Medium 3.5, at #122. Mistral Large 4 delivers performance within just 2 points of Claude Opus 4.8 (High) at a nearly 6× lower blended price: $3.47/M vs. $20/M tokens. Nearby but higher-performing models are available for less, keeping it just off the Code Arena: WebDev Pareto frontier. @MistralAI announced its open weights will be released at the end of October. Stay tuned for its score on Arena within open models, and congrats to the team on this release!

    Same story · 2 reports

    #Evaluations / benchmarks#English text is being prepared.#Open-source ecosystem

  16. aravsrinivasModel releases
    AI score56

    English translation is being prepared.

    Quoted postPerplexity · @perplexity_ai

    We're releasing pplx-embed-v2-late, two late-interaction embedding models that retrieve text, images, and pages with a shared embedding space for cross-model querying. Both models achieve frontier performance and are publicly available on Hugging Face. https://t.co/AM7YEyQkKE https://t.co/fR8kaYmHs1

    #English text is being prepared.#Multimodal#Search

Wednesday19 items

  1. arenaModel releases
    AI score75

    English translation is being prepared.

    Quoted postMistral AI · @MistralAI

    Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.

    Same story · 2 reports

    #Evaluations / benchmarks#English text is being prepared.#Open-source ecosystem

  3. artificialanlysModel releases
    AI score58

    English translation is being prepared.

    Quoted postArtificial Analysis · @ArtificialAnlys

    Mistral has released Mistral Large 4, scoring 38 on the Artificial Analysis Intelligence Index; France is back to having the most intelligent model from outside the US and China @MistralAI has released Mistral Large 4 in Research Public Preview, with plans to release the weights of the 1T parameter (49B active) model at the end of October. It achieves 38 on the Artificial Analysis Intelligence Index, comparable to GPT-6 Luna (max, 38) and DeepSeek V4.1 Flash (max, 39). It also achieves 50% on the Artificial Analysis Cyber Index, level with GLM-5.3-Flash and ahead of models such as Kimi K3 and DeepSeek V4.1 Flash (max). Key benchmarking results for Mistral Large 4 Preview: ➤ Most intelligent model from outside the US and China: Mistral Large 4 Preview scores 38 on the Intelligence Index, comparable to DeepSeek V4.1 Flash (max, 39) and GPT-6 Luna (max, 38). This makes it the most intelligent model from outside the US and China, ahead of countries such as South Korea and the United Arab Emirates ➤ Level with GLM-5.3-Flash on cyber defense capability: Mistral Large 4 Preview scores 50 on the Artificial Analysis Cyber Index, level with GLM-5.3-Flash (50) and behind MiMo-V2.6-Pro (56). Once its weights are released, it will rank among the top three open weights models on the Cyber Index. Its strongest result is on CyberGym-E2E-AA, where it scores 82%, ahead of MiMo-V2.6-Pro (79%) and GPT-6 Luna (max, 78%) ➤ Over 4x the Cost per Task of similar-intelligence open weights models: Mistral Large 4 Preview costs $1.13 per Intelligence Index task with standard pricing of $1.36/$4.18 per 1M input/output tokens, with $0.14 per 1M cached input tokens. For the first two weeks, Mistral Large 4 Preview will be served at a 50% launch discount, bringing its Cost per Task down to $0.57. This is still more costly than GLM-5.3-Flash ($0.25) and DeepSeek V4.1 Flash (max, $0.27) ➤ Strong document and image reasoning: Mistral Large 4 Preview scores 19% on GDP.pdf, on par with MiMo-V2.6-Pro (19%) and behind Kimi K3 (22%). This is an 18-point improvement from Mistral Large 3, partly driven by improvements in their API, which now accepts 100 images per request, up from 8 for previous Mistral models Key model details: ➤ Context Window: 512k tokens ➤ Multimodality: Text and image input, with text output ➤ Pricing: $1.36/$4.18 per 1M input/output tokens ($0.14 per 1M cached input tokens), with 50% off for the first two weeks ($0.68/$2.09) ➤ Availability: Research Public Preview on Mistral's API, with open weights planned for the end of October

    #Model releases#Evaluations / benchmarks#Open-source ecosystem