AI models hosted in the EU

Claude Opus 5.5 via AWS Bedrock (EU region)

Claude Opus 5 is Anthropic's flagship for complex agentic coding and enterprise work, with a 1M token context window and adaptive thinking.

OpenAI GPT-6 Sol for complex professional work, coding, and agent workflows.

GPT-5.6 Sol tops OpenAI's GPT-5.6 family, the frontier tier for complex coding, deep research, and long-running agents with a 1M token context.

GLM-5.3 by Z.ai is a 744B open-weight coding and agentic model, post-trained on the GLM-5.2 base with a 1M-token context and low, high, and max reasoning effort levels.

Kimi K3 by Moonshot: open-weight 2.8 trillion parameter MoE with 104 billion active, native vision, and a 1M token context for long-horizon coding and agentic work.

GPT-5.6 Terra is the balanced middle tier of OpenAI's GPT-5.6 family, pairing near-flagship quality with everyday speed and a 1M token context.

Claude Opus 4.8 by Anthropic, highly capable model for complex reasoning, coding, and agentic work with 1M context and improved efficiency.

GLM-5.3-Flash by Z.ai is a natively multimodal 320B MoE with 18B active parameters, hybrid sparse and linear attention, a 1M-token context, and MIT open weights for coding and agent work.

Gemini 3.8 Flash is Google's workhorse multimodal model for software engineering and agentic tasks, pairing 1M context with image, audio, video, and PDF input.

Claude Opus 4.7 by Anthropic, advanced vision and coding model with 1M context for complex long-running agentic workflows.

Qwen3.8-2.4T-A95B is the open-weight release of Alibaba's Qwen3.8-Max flagship, a 2.4 trillion parameter Mixture-of-Experts activating 95B per token.

Qwen3.8 Flash-Next by Alibaba is a multimodal MoE with a 125B backbone and 6B active parameters, an early look at the Qwen4 architecture with 262K native context for coding and agents.

Gemini 3.7 Flash is Google's August 2026 Flash release, a large step up in coding and agentic automation over 3.6 while keeping the 1M-token multimodal context.

DeepSeek V4.1 Flash is a 552B multimodal MoE with a causal encoder-decoder design, 8B to 16B active parameters, a 1M-token context, and MIT weights for fast agentic coding.

GPT-5.4 is OpenAI's frontier model for complex professional work, with a 1M context window, vision, tool use, structured output, and configurable reasoning.

GPT-5.5 is OpenAI's newest frontier model, combining strong coding, reasoning, and web search and understanding multi-part tasks, with a 1M context window and vision.

Claude Sonnet 5 is Anthropic's balanced production model, bringing near-Opus agentic coding and tool use to a 1M token context window.

GPT-5.6 Luna, the fast high-volume tier of OpenAI's GPT-5.6 family, handles classification, summarization, and bulk pipelines with 1M context.

OpenAI GPT-6 Luna for cost-sensitive, high-volume work and coding agents.

DeepSeek V4 Pro, flagship 1.6T MoE with 1M context and hybrid thinking for frontier reasoning and agents.

DeepSeek V4 Pro 0813 is the general availability build of DeepSeek's 1M-context flagship, tuned for agentic tool use and terminal-driven work.

DeepSeek V4 Flash 0731, the July 2026 retrained checkpoint with major agentic and coding gains over the original release.

DeepSeek V4 Flash, lightweight 284B MoE with 1M context and hybrid thinking for cost-efficient agents.

Gemini 3.6 Flash, Google's token-efficient multimodal Flash model, cuts output tokens by 17% while improving coding and agentic planning.

Qwen3.8 27B by Alibaba is a dense 27B open-weight vision-language model with image and video input, a 262K native context, thinking on by default, and Apache 2.0 weights.

GLM-5.2 by Z.ai is a 744B open-weight (MIT) mixture-of-experts coding model with a 1M-token context, IndexShare sparse attention, and selectable thinking-effort levels.

Gemini 3.5 Flash by Google pairs frontier-level intelligence with fast throughput and a 1M token context for agentic and coding tasks.

GPT-5.3 Codex is OpenAI's most capable agentic coding model, reaching state-of-the-art on SWE-Bench Pro and Terminal-Bench while using fewer tokens than prior models.

Claude Opus 4.6 by Anthropic, professional knowledge-work model with 1M context, extended thinking, and 128K token outputs.

Claude Sonnet 4.6 by Anthropic, full upgrade across coding, computer use, and long-context reasoning.

MiniMax M3: natively multimodal 428B Mixture-of-Experts model with ~23B active parameters, MiniMax Sparse Attention for long context, and 59.0% on SWE-Bench Pro

Claude Opus 4.5 by Anthropic, highly capable model for coding and agents with extended thinking and a tunable effort parameter.

GLM 5 by Zhipu: 744B frontier MoE model with 40B active, reasoning-first design, and Huawei Ascend training.

Kimi K2.6 by Moonshot: open-weight agentic model with long-horizon coding, 300-agent swarms, video understanding, and 256K context.

GLM-5-Turbo by Z.ai is a speed-optimized agentic model built for OpenClaw workflows, with thinking modes, reliable tool calling, and 200K context.

GLM-5.1 by Z.ai is a 754B open-weight (MIT) coding and agentic reasoning model with 202K context that tops SWE-Bench Pro at 58.4.

Kimi K2.7 Code by Moonshot: open-weight, code-specialized agentic model on a 1 trillion parameter MoE, tuned for long-horizon software engineering and tool use.

Grok 4.3 by xAI combines always-on reasoning with a 1M context window, native vision, and agentic tool calling in one model.

GPT-5.1 by OpenAI, reasoning model with a 272K-token context, vision, and structured output for complex problem-solving.

GPT-5.4 Mini is OpenAI's strongest small model, improving over GPT-5 Mini in coding and reasoning while running more than 2x faster, with a 400k context window.

Kimi K2.5 by Moonshot: native multimodal 1T-parameter MoE with vision, 256K context, hybrid reasoning, and an agent swarm for parallel task execution.

GLM-5V-Turbo by Z.ai is a native multimodal model with vision, text, and video input that turns design mockups into front-end code.

GPT-5 by OpenAI, multimodal reasoning model with a 272K-token context window for coding, analysis, and agentic work.

MiniMax M2.5: 229B MoE model trained on hundreds of thousands of real environments, scoring 80.2% on SWE-Bench Verified and 76.3% on BrowseComp

MiniMax M2.7: self-evolving 229B model with 56.22% SWE-Pro, native multi-agent teams, and 1495 ELO on GDPval-AA (highest open-weight)

Grok 4 by xAI is a reasoning model with vision, native tool use, and real-time web and X search across a 256k context window.

Gemini 3.5 Flash Lite is Google's low-latency workhorse for high-volume automation, pairing 1M context with audio, video, and PDF understanding.

GLM 4.7 by Zhipu: 358B reasoning model with interleaved thinking, 200K context, and frontier coding performance.

GLM-4.7-FP8 by Zhipu: FP8-quantized GLM-4.7 Flash, shrinking the BF16 footprint to roughly 30GB for efficient inference.

DeepSeek V3.2, GPT-5-class open MoE that integrates reasoning directly into tool-use.

Qwen3.5 397B A17B by Alibaba: large sparse MoE model with 397B total (17B active) parameters for advanced reasoning and coding.

Qwen3.6-27B by Alibaba: 27B open-weight multimodal model with strong agentic coding (77.2 SWE-bench Verified) and reasoning across 262K context.

Claude Sonnet 4.5 by Anthropic, strong coding and agentic model scoring 61.4% on the OSWorld computer-use benchmark, 30+ hour focus.

GPT-5.4 Nano is the fastest, lightest GPT-5.4 variant, built for classification, data extraction, and lightweight coding subagents that need low latency.

GPT-5 Mini is a fast, cost-efficient GPT-5 model for well-defined tasks and precise prompts, delivering near-frontier intelligence for high-volume workloads.

GPT-5.1 Codex Mini by OpenAI, fast, cost-efficient code model with a 272K context for everyday development tasks.

Gemma 4 31B is Google DeepMind's 30.7B parameter dense open model, the largest of the Gemma 4 family, with 256K context, thinking mode, and native function calling.

Qwen3.6 35B-A3B by Alibaba: sparse MoE (35B total, 3B active) with vision, reasoning, and agentic coding for repository-level tasks.

Qwen3.6 35B A3B FP8 by Alibaba: fine-grained FP8 quantized variant of the sparse MoE model with near-identical performance.

Qwen3.5-122B-A10B by Alibaba: sparse MoE multimodal model with 122B total (10B active) parameters and 262K context for reasoning, vision, and agentic tasks.

Muse Glimmer is Meta's 30B open-weight agentic model, distilled from Muse Spark and built to plan, call tools, and recover from failures on a single consumer GPU.

Claude Haiku 4.5 by Anthropic, fast model matching Claude Sonnet 4 coding performance at a fraction of the cost, more than twice the speed.

Gemini 2.5 Pro by Google, an advanced reasoning LLM with 1M context and thinking mode, strong at complex coding, math, STEM, and deep document analysis.

GLM 4.7 Flash by Zhipu: 30B MoE (3B active) with 200K context, tuned for local deployment and fast agentic coding.

Grok 4.20 Non-Reasoning by xAI delivers fast, direct responses across a 2M context window with real-time X data.

Qwen3.5 9B by Alibaba: 9B multimodal model with vision, tool calling, and reasoning for balanced performance and efficiency.

DeepSeek R1 0528: updated reasoning model with deeper chain-of-thought, system prompts, and structured output

Gemini 2.5 Flash (Google). Fast multimodal model for text, images, video, and audio, with reasoning, tools, and structured output.

GPT-5 Nano is the fastest, lightest GPT-5 variant, built for summarization, classification, and simple tasks that need minimal latency.

Qwen3 235B A22B Instruct 2507 by Alibaba, an instruction-tuned MoE model with a 262K context window.

GPT-OSS 120B by OpenAI: open-weight Apache 2.0 reasoning model, 117B params (5.1B active), near o4-mini on reasoning, tools and structured output.

Mistral Small 4 (March 2026) unifies reasoning, coding, and multimodal in one MoE model with 256K context and configurable reasoning effort.

GPT-OSS 20B by OpenAI: open-weight Apache 2.0 model, 21B params (3.6B active), near o3-mini, for efficient and on-device reasoning.

Qwen3 Coder Next by Alibaba, an 80B ultra-sparse MoE model with 3B active parameters and 256K context for efficient local coding agents.

Gemini 3.1 Flash Lite by Google, a cost-effective, low-latency multimodal LLM with 1M context, thinking mode, and tool use for efficient task automation.

Gemini 2.5 Flash Lite by Google, an efficient multimodal LLM with 1M context, optimized for cost and speed across text, vision, and structured tasks.

GPT-4o by OpenAI is a capable general-purpose omnimodal model with a 128K context window, vision input, structured output, and tool use.

Qwen3 VL 30B A3B Instruct by Alibaba, an efficient open-weight MoE vision-language model with 3B active parameters and 131K context.

Llama 3.3 70B Instruct: refined 70B model with improved multilingual performance, structured output, and tool calling for reasoning workloads.

Llama 3.3 70B Instruct in an FP8 build, Meta's multilingual open-weight workhorse with 128K context, quantized for faster serving at near-identical quality.

Amazon Nova Pro, a balanced multimodal model combining accuracy, speed and cost for text, image and video understanding.

Llama 3.1 8B Instruct: efficient open-weight small model with a 131K context, tool calling, and structured output for production deployments.

Amazon Nova Lite, a cost-effective multimodal model with 300K context for document analysis, visual Q&A, and video understanding.

GPT-4 by OpenAI, an older high-intelligence text model with function calling, now superseded by newer options.

Amazon Nova Micro, a fast text-only model for real-time summarization, translation, classification and simple reasoning.

Claude 3 Haiku by Anthropic, fast and affordable vision model for customer support and batch processing of large documents.

GPT-5.3 Chat by OpenAI, chat-tuned model with a 272K context, vision, and tools for conversational use.

GPT-3.5 Turbo by OpenAI, a legacy text and code model with fast inference, now superseded by more capable alternatives.

OpenAI's most capable embedding model, producing 3072-dimensional vectors with optional dimension reduction for high-accuracy multilingual retrieval and semantic search.

OpenAI's 1.55B-parameter speech-to-text model supporting 99 languages with 10-20% error reduction over Whisper Large v2, released November 2023.

OpenAI's pruned 809M-parameter speech-to-text model with 4 decoder layers, delivering much faster multilingual transcription at minimal quality loss.

OpenAI's legacy embedding model from December 2022, producing 1536-dimensional vectors, now superseded by the text-embedding-3 family.

Gemini 2.5 Flash Image (Google). Fast multimodal model with native image generation and conversational editing.

Gemini Embedding 2 by Google creates multimodal embeddings up to 3,072 dimensions for semantic search and retrieval.

Google Gemma 4 31B IT, instruction-tuned 31B dense model with multimodal reasoning, function calling, and 256K context.

Google Gemma 4 26B-A4B IT, mixture-of-experts open model with only 3.8B active parameters, multimodal reasoning, and function calling.

Mistral OCR 4.1, the current model behind Mistral's Document AI stack, adding paragraph-level bounding boxes and block-level confidence scores to extracted text.

Mistral OCR 4, the June 2026 document model that returns extracted text with bounding boxes, block classification, and confidence scores in 170 languages.

Mistral Medium 3.5, dense 128B open-weight model with 256k context optimized for agentic and coding workflows.

Mistral Small 3.2 24B Instruct is a 128K-context open-weight text and tool-calling model tuned for reliable instruction following and lean deployments.

Mistral Small 3.1 24B is an open-weight instruction-tuned model with 128K context, vision, and function calling at around 150 tokens per second.

Mistral Devstral 2: code agents model for software engineering, 256k context, 123B params, 72.2% on SWE-bench Verified.

Mistral Ministral 3 14B: largest Ministral 3 model, 256k context, Apache 2.0, tuned for local and edge deployment.

Mistral Ministral 3 3B: smallest Ministral 3 model, 256k context, Apache 2.0, ultra-efficient edge deployment.

Mistral Ministral 3 8B, edge-optimized multimodal model with 256k context, vision, and structured outputs.

Mistral Large 3, open-weight mixture-of-experts model with 256k context and native multimodal vision.

Mistral Codestral 25.08: code-optimized model for fill-in-the-middle completion and fast code generation, 128k context.

Mistral Medium 3.1, frontier-class multimodal model balancing reasoning, vision, and agentic control.

Pixtral Large is a 124B multimodal vision model with 128K context, built for document analysis, visual reasoning, and frontier image understanding.

Voxtral Mini Latest routes to the current Voxtral Mini, a 32K-context speech model for voice agents with native audio understanding.

Voxtral Mini Transcribe Realtime 2602 delivers streaming live transcription with 13-language support, speaker diarization, and a 4B edge-deployable model.

Voxtral Mini Transcribe Realtime Latest routes to the current streaming transcription model, a 4B 13-language model for voice agents and live apps.

Voxtral Mini Transcribe Realtime by Mistral: streaming speech-to-text with configurable delay for live transcription, voice agents, and real-time subtitling.