Information was checked on October 8, 2026. Provider options and independent
scores can change. A provider signing the GPAI Code of Practice helps it
demonstrate compliance with parts of the EU AI Act; it is not an EU
certification of a model or service.
Quick comparison
The Artificial Analysis score is its Intelligence Index for the model configuration used by There. A higher score indicates better performance on its independent benchmark suite. It does not measure legal compliance or environmental impact.
¹ Estimate for an output of 1,000 tokens using the world-average electricity mix. The first value is energy use and the second is greenhouse-gas emissions. EcoLogits flags reduced precision for these architectures.
² Score published for the Mistral Large 4 preview, which may differ from the version There uses.
Google, OpenAI, Anthropic, and Mistral AI appear on the European Commission’s list of GPAI Code of Practice signatories.
Understanding the environmental information
EcoLogits estimates impacts for an individual inference request. It reports values or ranges for energy use, greenhouse-gas emissions, water consumption, primary energy, and resource depletion. The result depends on the exact model, generated token count, hardware assumptions, latency, and electricity mix, so EcoLogits does not define a fixed provider-level score. The EcoLogits catalog contains the exact GPT-6 Luna, GPT-6.1 Sol, and Claude Sonnet 5.5 models. It does not yet contain Claude Haiku 5.5, Gemini 3.8 Flash, or Mistral Large 4, so no proxy value from another model is shown for those three models. Estimates include both model use and hardware manufacturing. See the EcoLogits methodology and reported impact criteria for details.The “lower estimated impact” suggestion in the model picker is a relative
product recommendation. The comparison depends on the generation scenario and
is not an environmental certification.
Security and privacy
Learn how There protects data and governs its use by AI features.