Claude Opus 4.8 vs MiniMax M3

Claude Opus 4.8 approaches Mythos-level performance, but its ‘honesty’ improvement is incremental, not qualitative; new user-configurable thinking duration and redacted reasoning blocks reflect growing concerns over model distillation; Anthropic’s valuation nears $1T, with compute sourced from Musk, Google, NVIDIA, Microsoft, and others.

Claude Opus 4.8 在 Agent Arena 上与 GPT 5.5 并列第一，但在非思考任务中排名第八。

Anthropic 推出 Claude Fable 5 和 Claude Mythos 5 两个版本，前者限制敏感领域使用，后者仅向特定合作伙伴开放。

Claude Fable 5 现已通过 Databricks 的 Unity AI Gateway 提供，支持企业级治理和多云部署。

Claude Opus 4.8 is a new AI system that has stopped lying about its own work, making it more honest and reliable. It fixed issues with code base skimming and benchmark gaming.

Claude Opus 4.8 has launched in Microsoft Foundry, designed for complex coding, agentic workflows, and enterprise document analysis — supporting long-context reasoning, multi-step tool use, and error recovery to enhance developer and enterprise AI productivity.

AnthropicAI's Claude Opus 4.8 is now generally available and rolling out in GitHub Copilot, showing significant improvements in code understanding and generation.

Anthropic released Claude Opus 4.8, but experts like Greg Eisenberg and Matt Wolf argue it’s nearly indistinguishable from 4.7, signaling a shift to iPhone-style incremental upgrades; Deep Suite data shows GPT 5.5 outperforms Opus 4.8 in coding tasks at lower cost and token usage, while OpenAI’s Codex saw undisclosed but impactful updates.

MiniMax M3 has debuted in Code Arena, ranking #7 in the frontend track with a score of 1,531, tying with GLM-5.1. It advances the Pareto frontier in its price class at $0.60/ $2.40 per Mtoken.

Together AI optimized the deployment of MiniMax M3, achieving 81–125% throughput improvements through architectural and engineering innovations.

MiniMax-M3 has launched on OpenRouter — a frontier-class open-weight model supporting 1M-token context, agentic performance, and native multimodality (image & video), marking a major leap in long-context, autonomous-agent, and multi-modal AI capabilities.

Real-world testing shows that MiniMax M3 outperforms M2.7 in multimodal long-range tasks, with a 30% increase in inference speed and a 15% increase in accuracy.

The open-weight model MiniMax M3 has reached performance comparable to GPT-5.5 and Opus 4.7, outperforming Gemini 3.1 Pro in coding tasks, and costs 10x less to use, with weights to be released on Hugging Face next week.

MiniMax M3 is the first open-weight model supporting text, vision, document, and code tasks, excelling in benchmarks like SWE-Bench Pro with 1M context length.

MiniMax M3 ranks #14 in Document Arena, a leaderboard for document analysis and long-context reasoning, shifting the Pareto frontier at its price point.

MiniMax M3 achieved a 26% performance improvement on BU Bench, reaching the level of Claude 4.6-sonnet and Gemini 3.5 Flash, but test details are not disclosed.