Anthropic claims Opus 5.5 beats GPT-6 Astra while costing less. Rather than taking that at face value, both models were run through six practical tasks, from research to building a working 3D game, to see which claims actually hold up.
Round One: Research You Can Act On
Both models were asked to find a laptop for video editing under $1,500, with real prices and working links. Astra finished faster and every link and price checked out. Opus explained its reasoning far better, flagging that memory prices were currently high and one graphics chip would struggle with long renders, but it quoted an outdated sale price on one laptop and didn’t account for tax on the others. Astra won this round on accuracy, even though Opus gave the better explanation.
Round Two: Spotting Errors In A Document
Given a fake travel booking pack with five deliberately hidden mistakes, including a flight and airport transfer booked for different times a day apart, both models found all five. Opus ranked the problems by how much trouble they’d cause; Astra laid them out in a clearer table. Called a draw.
Round Three: Building A Themed Website
Asked to build an interactive website for a fictional hot sauce brand with animated flames, a draggable heat scale and a review section, Opus delivered every item on the brief, including a timed “challenge” feature. Astra produced a more polished-looking brand but skipped a couple of requested features. Opus won this round.
Round Four: An Animated Short, Built Entirely In Code
Both models had to generate a 30-second animated short using only code, no image generation tools. Opus produced something closer to a proper cartoon, with camera movement and sound on nearly every beat, though it took over 20 minutes. Astra’s version was flatter but finished in under eight minutes. Opus won on quality.
Round Five: Real Video Editing
Given raw unedited footage and asked to cut it into a finished intro with graphics and music, Astra finished in 25 minutes with a clean, safe edit. Opus took over an hour but produced something that looked properly produced, punching in on key lines and animating graphics to match what was being said. Opus won, but the time cost was significant.
The Cheaper Models Closed The Gap
Testing Anthropic’s cheaper Sonnet model against OpenAI’s cheaper Soul model on the same website task showed the gap between flagship and budget models is smaller than expected on both sides. Sonnet built a site nearly as complete as Opus’s. Soul matched Astra’s more cautious approach. The difference between the two companies’ house styles held steady more than the difference between their price tiers.
Round Six: A Playable 3D Game
Both models were asked to build a short, playable 3D delivery game from a single prompt. Astra’s version worked but felt stiff, with a high camera angle and a mini-map that didn’t rotate with the player. Opus’s version included a rotating mini-map, a camera placed properly behind the rider, and a storm effect by the final level. Opus won clearly.
The Final Score And The Real Takeaway
Claude won five rounds to Astra’s one. But independent benchmarking tells a more balanced story: Opus reasons for roughly four times as many tokens per task as Astra, which affects both speed and real-world cost. Astra is also less likely to hallucinate when it doesn’t know an answer. The practical conclusion: Opus is the stronger model for anything you need built well, but Astra is faster and worth double-checking less, for tasks where current facts matter most.
Getting the best from either model comes down to how well it’s set up. Claude LaunchPad is the free starting point for getting your Claude foundation right.
