Blog
Tutorials, comparisons and model selection for AI APIs.
GPT-6 Astra API Tested Against GPT-6.1 Sol: What 3.4x the Price Buys You
We ran GPT-6 Astra and GPT-6.1 Sol through the same everyday tasks (code, tool calls, a 75K-token log and a Chinese chat turned into JSON). Both got everything right, and Astra took twice as long on the code. With real latency data and OpenAI's benchmarks, here is where Astra's $3.40 / $17 per 1M tokens pays off.
Wan 3.0 API Tested: Lines Spoken on Cue, an Exact Last Frame and a Video Made From a Web Page
We ran four 480P clips through Wan 3.0: a vendor spoke our Mandarin line word for word, the last frame matched our image almost exactly, and a single URL became a narrated explainer, while the same prompt on prime was slower, not faster. Standard 480P is $0.045 a second, $0.03 until November 23.
GPT Image 2.6 GIF and SVG: 40 Ways to Make Money, From Sticker Stores to Your Own Sticker Bot
GPT Image 2.6 returns 2–16 frame GIFs and SVG vectors directly. We collected 40 ways to earn with them, from WeChat and LINE stickers to Etsy cut files and sticker bots, each with how to make it, where it sells, a price reference and the rules. A six-frame low-quality GIF costs about 3.4 cents to generate; an SVG is a flat 3.15 cents.
GPT Image 2.6 Flare vs Sunburst: Same Price at 1K, Similar Speed, and Sunburst Packs in More Detail
Flare and Sunburst cost exactly the same at 1K and 2K, 2 cents for each 1K default-quality image in this batch, and in these tests they were about as fast as each other, 25 to 30 seconds an image. The difference is in the picture: Sunburst puts in more detail of its own — more readers at more tables in the library, oilskin overalls and lobster pots around the fisherman, a kettle on its heating base in the infographic. Lettering and edits were equally dependable on both.
GPT Image 2 vs GPT Image 2.6: Hard to Tell Apart on Stills, the Upgrade Is GIFs, Vectors and Pointed Edits
Two generations from OpenAI, and on still images you can barely tell them apart: the Chinese poster, the six signs, the infographic and both rounds of edits came out right on GPT Image 2 and 2.6, even in a similar style. On our platform GPT Image 2 is a fixed 2.5 cents per 1K image, and 2.6, now also priced per image, is 2 cents at 1K and default quality. What 2.6 buys you is new abilities — GIFs, SVG vectors, circle-to-edit — and steadier turnaround.
Nano Banana 2 vs GPT Image 2.6: Both Spell It Right, but Nano Banana 2 Adds Words of Its Own
Both models spelled every requested word correctly, and neither changed her clothes in an edit. The difference is obedience: Nano Banana 2 wrote 咖啡 on the poster's cup, added a French title and a crowd of bridge and park names to the Paris map, and labelled Pont Neuf twice; GPT Image 2.6 wrote only what we asked. Nano Banana 2 is 5 cents an image against 2 cents for a 1K image on 2.6 at default quality, and Google's newer Nano Banana 2.1 is 2.2 cents.
Meta Muse Image vs GPT Image 2.6: Meta's 2-Cent Model Keeps Up, Just More Slowly
Meta's Muse Image costs a flat 2 cents and returns about 2.5 megapixels, more than twice the pixels of GPT Image 2.6 at 1K. In our tests it counted correctly, got the infographic right, kept her clothes in the background swap and, with the shape left on auto, chose a tall frame for a phone wallpaper. The gaps are speed and brightness: Muse took 46 to 80 seconds an image and its night scene came out dark, while GPT Image 2.6 took about half a minute and adds GIFs, vectors and 4K.
Grok Imagine Image 2.0 vs GPT Image 2.6: Every Word Right on Both, and a Recolour Neither Botched
Neither model slipped on poster lettering, a product recolour or a two-photo composite: all three lines of the concert poster were right, and both changed only the mug when turning it from green to terracotta. The differences are style and speed. Grok Imagine Image 2.0 lays type out more like a designer and frames portraits tighter, but took anywhere from 15 to 132 seconds; GPT Image 2.6 stayed around half a minute. On price, Grok is 4.5 cents at medium quality and GPT Image 2.6 is 2 cents for a 1K image at default quality.
Qwen Image 3.0 vs GPT Image 2.6: Both Nail Dense Text, Qwen Is Cleaner but Slower
Both are strong on lettering: every word and number on the bilingual menu, the weather app and the infographic came out right on both. Qwen Image 3.0 lays things out more quietly and likes small icons; GPT Image 2.6 sets bigger, bolder type and adds a fitting backdrop of its own. The gaps are speed and size — Qwen took 78 to 120 seconds an image against about half a minute, and its 1K images are smaller. On price, Qwen is a flat 3.5 cents and 2.6 is 2 cents for a 1K image at default quality.
Seedream 5.0 Pro vs GPT Image 2.6: Flawless Chinese on Both, One Russian Slip on a Six-Language Sign
Chinese is Seedream 5.0 Pro's home ground, yet GPT Image 2.6 kept pace: both posters were letter-perfect. On a six-language sign, 2.6 got every word right while Seedream misspelled the Russian. Edits and composites were dependable on both. Seedream is a flat 3 cents per 1K image with free reference photos; GPT Image 2.6 is 2 cents for a 1K image at default quality, two-reference composites at a set size included.
Nano Banana Pro vs GPT Image 2.6: Equal on Quality, Under a Third of the Price at 1K
Both are top-tier image models, and none of our six jobs produced a clear loser: the lettering was right everywhere and neither changed her clothes in an edit. The differences are temperament and price. Nano Banana Pro likes to add correct details on its own; GPT Image 2.6 sticks closer to the letter of the prompt. At 1K and default quality GPT Image 2.6 is 2 cents an image against Pro's flat 6.8 cents, and at 2K it is 3.5 cents, still about half of Pro.
Nano Banana 2.1 vs GPT Image 2.6: Both Got the Text Right, Only One Changed Her Clothes
Both models now handle lettering well: a Chinese poster and six English shop signs came out letter-perfect on each. The real difference is in editing. Asked to change only the background, Nano Banana 2.1 also changed her shorts to jeans, while GPT Image 2.6 left everything else alone. On price they are nearly level: Nano Banana 2.1 is a flat 2.2 cents per image and GPT Image 2.6 2 cents for a 1K image at default quality.
GPT Image 2.6 vs 2.5: It Makes Stickers, Draws Vector Logos and Edits Where You Point
For everyday pictures the two generations are close — both spelled a Chinese poster perfectly. The gap is in what only 2.6 can do: a whole sticker set from one character, a doodle that moves, edits that stay inside the circle you draw, and a logo that stays sharp at any size.
GPT Image 2.6 API Tested: GIF Loops, Markup Edits and What Each Call Cost
Seven real calls, unretouched. Both tiers spelled the poster text correctly; a six-frame GIF loop, billed per token, cost about $0.034 when re-run on 6 November, and a 1K low image is now a flat $0.01; a markup image changed only the circled objects and a second edit round left everything else alone. SVG failed upstream on launch day and has since been enabled at a flat $0.0315 per image.
GPT Image 2.6 vs GPT Image 2.5: New Outputs at Nearly the Same Price
GPT Image 2.6 adds animated GIF, SVG and markup or mask edits. Plain images on both generations are priced per image from $0.01 and cost the same at 1K and at 4K medium and high; GPT Image 2.5 stays slightly lower at 2K and 4K low and keeps its xhigh and max quality levels.
Nano Banana 2.1 vs GPT Image 2.5: Same Prompts, Side by Side (2026)
Five identical prompts on both models, unretouched. Both spelled every word right. GPT Image 2.5 Sunburst rendered richer scenes and readable background signs; Nano Banana 2.1 kept edit inputs untouched, offers 8:1 and 1:4 formats, and costs less at 1K and 4K.
$30 to $8,880 in Six Months: How a PM Who Can't Code Runs an API Gateway Doing 300K Calls a Month
Six months, 293x, and I cannot write a line of the code that runs it. What actually mattered: the two things customers pay for, why I refused every open-source gateway, and the metric that caught a supplier substituting quality when every dashboard said 200 OK.
The Seedance 2.5 Prompting Guide, in English
Named subjects, per-asset roles, stages with verifiable end states, and the inheritance clause that makes object swaps hold. Plus a status update: 2.5 is now callable through our API, from $0.120/s — measured, not assumed.
GPT-5.6 Sol vs Terra vs Luna: Which Tier Should You Actually Use?
Sol, Terra and Luna are one model line at three price points (about 8 : 3.4 : 1 on input, 7 : 3.4 : 1 on output). Here is when each is worth it — and three upstream behaviours to budget for.
The Most affordable AI Image Generation APIs in 2026
gpt-image-2 from $0.025/image, Gemini image from $0.025, and how the channels actually compare on cost.
One API Key for Claude, GPT and Gemini
Switch between Claude, GPT and Gemini by changing one "model" string — same key, same endpoint.
Grok Imagine Video vs Seedance 2.0 vs Kling: Which Image-to-Video API?
Native audio vs flat pricing vs real-person reference — pick by your priority.