Claude Opus 4.8 is now available on Poe. Anthropic’s latest flagship model is built for enterprise-grade knowledge work, codebase-scale migrations, multi-agent coordination, and long-running autonomous tasks, with sharper judgment and improved honesty. Try it today at:
@poe_platform
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Gemini-3.5-Flash model now available on Poe platform
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Gemini-3.5-Flash is now available on Poe. Google’s latest Flash model is built for fast, efficient responses, with strong performance on coding, complex workflows, and agentic tasks. Try it today at: https://
poe.com/Gemini-3.5-Fla
sh
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Grok 4.3 Now Available on Poe as Economical Daily Driver
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Grok 4.3 is now available on Poe. It’s a great daily driver, not just a model that wins random benchmarks, but one that holds up for real-life use. It’s also economical enough to use every day, with strong performance for the price. After sharing a lot of feedback with the @xai
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GPT-5.5 Now Available on Poe API Platform
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Try them on all platforms and in the Poe API, available at: https://
poe.com/GPT-5.5 and https://
poe.com/GPT-5.5-Pro -
GPT-5.5 and GPT-5.5 Pro Launch on Poe Platform
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GPT-5.5 and GPT-5.5 Pro are live on Poe. We’ve been testing it in early access across complex coding, debugging, and reasoning workflows. On selected internal evals, we saw encouraging improvements: – 12% higher task completion rate
– 16% fewer retries on complex prompts
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Opus 4.7 Shows Major Improvements on Coding Tasks
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Tip 3: There is a big jump on coding tasks like – SWE-Bench Pro 64.3% – SWE-Bench Verified 87.6%
– TerminalBench 69.4% Altogether, it’s a strong signal that coding performance has improved meaningfully in Opus 4.7 compared to Opus 4.6. -
Opus 4.7 Improves Support for Low-Resource Languages
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Tip 2: Opus 4.7 shows improvement on languages including those with less training data like Yoruba, Igbo and Chichewa. For folks who speak these and other languages this model will be meaningfully better.
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Opus 4.7 New Tokenizer Uses 1x to 1.5x More Tokens
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Tip 1: Opus 4.7 uses a new tokenizer behind the scenes. In our testing, it can use between 1x and 1.5x more tokens when compared to Opus 4.6, so it’s worth planning accordingly.
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Extended Thinking Mode and Multi-Agent Coordination Capabilities
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Under the hood: it has Extended Thinking Mode, optimized MCP support, multi-agent coordination, and a 1M-token context window. It works really well for workflows that need extensive planning, execution, and self-correction across different steps.
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Opus 4.7: Enhanced Long-Task AI With Autonomous Verification
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What makes Opus 4.7 different: in our early testing it handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. Designed for work you can hand off with less oversight.