GPT-5.5 achieved 82.7% on Terminal-Bench 2.0, outperforming other frontier models by over 13 percentage points, with an agentic architecture, 1 million token context window, and 40% fewer token usage that results in only approximately 20% net cost increase despite doubled pricing, though it still has the highest hallucination rate among frontier models.
Deep Dive
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Deep Dive
GPT-5.5 hit 82.7% on Terminal-Bench. Every other AI model is 13 points behind. #ShortsAdded:
82.7%.
That's GPT 5.5 on terminal bench 2.0.
The benchmark for autonomous terminal operation. Every other Frontier model trails by more than 13 points. Claude Mythos preview 69.4%.
Gemini 3.1 Pro 68.5%.
Open AI didn't patch a model they retrained from scratch. First time since GPT 4.5. Here's the thread connecting everything they shipped on April 23rd.
The architecture is agentic. It runs software end to end without handholding.
The context window hit 1 million tokens.
And on MRCR, the long context memory benchmark performance doubled 36% to 74%. Now the catch. Price doubled $5 per million input tokens, $30 per million output. That's the GPT 4.5 stack repriced. But here's the builder math.
GPT 5.5 uses 40% fewer tokens on most tasks. Run the numbers. The real cost increase is around 20%. And if it passes 25% more of your agentic tasks on the first try, it breaks even. The hallucination rate is still the highest among Frontier models. That's the asterisk. Best autonomous terminal model alive. Higher sticker price, lower actual cost. Hallucination problem unsolved. Is it worth the upgrade for your stack? Drop it below.
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