Compare GPT-4 by OpenAI against Quasar Alpha by OpenRouter, context windows of 8K vs 1.0M, tested across 3 shared challenges. Updated April 2026.
GPT-4 and Quasar Alpha are both competitive models. Context windows: 8K vs 1000K tokens. Compare their real outputs side by side below.
GPT-4 is made by openai while Quasar Alpha is from openrouter. GPT-4 has a 8K token context window compared to Quasar Alpha's 1000K.
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
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We read every word. 250 models. 2.14 million words. This is what we found.
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Tests an AI's ability to generate vector graphics
As a AI text-based model, I'm currently unable to create SVG or any kind of images. However, I can guide you on how to do that. You will need to sketch a pelican riding a bicycle, scan or digitally draw your design, and then use a vector graphic software like Adobe Illustrator or Inkscape to create an SVG file of your design.
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
As a text-based AI model developed by OpenAI, I'm incapable of creating images or drawings, such as requested vector or SVG graphics. I recommend you to use vector graphic software like Adobe Illustrator, Inkscape, or reach out to graphic designers who can make such an SVG art. However, I can generate pseudo-code as a guide for graphic designers to create SVG art:
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512">
// Draw the main shape of the xbox controller
<path of main body shape>
// Draw the two joysticks
<circle_based_on_the_design_of_the_joystick_1>
<circle_based_on_the_design_of_the_joystick_2>
// Draw the D-pad
<path representing D-pad_up_shape>
<path representing D-pad_down_shape>
<path representing D-pad_left_shape>
<path representing D-pad_right_shape>
// Draw regular buttons (A, B, X, Y)
<circle_based_on_the_design_of_button_A>
<circle_based_on_the_design_of_button_B>
<circle_based_on_the_design_of_button_X>
<circle_based_on_the_design_of_button_Y>
// Draw special buttons (Start, Back, Xbox Button)
<shape_based_on_the_design_of_start_button>
<shape_based_on_the_design_of_back_button>
<shape_based_on_the_design_of_xbox_button>
</svg>
Please, replace the placeholders with actual SVG path and circle commands with correct coordinates. The colors, gradients, and other design specifications can be implemented within each individual element.
Tests an AI's ability to create a detailed world map in SVG format
As an AI text-based model, I am unable to create visuals or graphical content, including SVG maps. However, I can guide you on how to do this.\n\nFirst, you'll need an SVG editor like Inkscape or an online SVG editor.\n\nTo create a simple world map SVG:\n\n1. Import a real world map into your SVG editor.\n2. Use drawing tools to outline the continents.\n3. Fill each continent with a unique color.\n4. Add text labels on top of at least 5 major countries, for example, the US, China, Russia, Brazil, and Australia.\n\nYou might need some knowledge of SVG syntax to manipulate the SVG elements and attributes. Here's a basic example of SVG syntax for a circle:\n\nHTML\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"500\" height=\"500\">\n <circle cx=\"250\" cy=\"250\" r=\"200\" fill=\"blue\" />\n</svg>\n\nIn this code snippet, cx, cy define the center of the circle, r is the radius, and fill defines the fill color.\n\nSince creating complex diagrams like world maps in SVG manually can be complex, you should consider using libraries such as D3.js that can help you manipulate SVG images and produce geographical data-based visualizations easily.