Multimodal models
Latest stories covering Multimodal models, with summaries and links to related coverage.
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Models in this coverage
Up to six tracked models linked to this topic’s reports in the last 30 days. Counts measure coverage on Themata, not usage.
- Claude Opus 5.5
Anthropic
· Closed
Anthropic’s model for complex reasoning and longer agent tasks. Built for work such as large codebase changes, code review, and multi-step problem solving.
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Latest stories
Mistral Large 4
tool
11 min read
Mistral has launched a public-preview API for Mistral Large 4, a natively multimodal mixture-of-experts model with 1 trillion total parameters and 52 billion active parameters. The company plans to release its open weights by the end of the month. Mistral Large 4 was trained from scratch on 3,800 Nvidia Grace Blackwell GPUs in Mistral-operated European data centers, using multilingual data spanning more than 160 languages. The preview API is available through Mistral Studio, priced at $1.36 per million input tokens and $4.18 per million output tokens. Mistral says the model is its largest and most capable release, targeting coding, tool-using agents, cybersecurity, finance, law, science, and visual understanding. It reported scores of 82% on a vulnerability reproduction-and-patching test, 93% on Cybench security challenges, 61.7% on DeepSWE v1.1, 59.9% on AutomationBench, and 42% on Dense 200 visual grounding. Mistral also said ML4 resists 93.3% of attacks in Lakera’s B3 AI Security Benchmark. Before the weight release, Mistral is red-teaming the model with cybersecurity leaders, vetted partners, and state authorities that will receive reduced moderation and expanded cyber capabilities. The company says ML4 can be self-deployed in private clouds or on premises and will underpin specialized future Mistral models. Its development is funded in part by Mistral’s €3 billion Series D round.