Breezing vs Koinly
Zero of fourteen models named Breezing first on the direct prompt; zero named Koinly. Breezing was named by ten of the fourteen models and Koinly by fourteen and Breezing carries 17 labels and Koinly 42, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the crypto accounting page.
By framing
BreezingFirst choices, of fourteen modelsKoinly
Across every category in the November 2026 Edition, Breezing and Koinly were named in the same answer thirty-four times, of the 67 answers naming Breezing and the 107 naming Koinly. In those answers Koinly took the first choice four times and Breezing twenty.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | |||
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | | |
Breezing Koinly first choice named as an alternative argued againstblank: not namedEach cell is one answer, Breezing on the left and Koinly on the right.The direct prompt
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Breezing38%#1 of 12Koinly10%#3 of 12What the models said about Breezing
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Breezing's unlimited users/wallets and low entry price make it the most commonly recommended budget choice for small businesses right now” Muse Glimmer 30B · budget prompt · first choice
“Breezing offers the best value-to-capability ratio with transparent pricing and a fast, simple implementation.” DeepSeek V4 Flash · paraphrase prompt · first choice
“Best Dedicated SMB Subledger: Breezing ... Cheaper dedicated business subledger ($29/mo) with GL integration.” Gemini 3.5 Flash · budget prompt · first choice
What the models said about Koinly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Koinly, CoinLedger, CoinTracker, ZenLedger, and similar products may work for individual tax reporting, but they generally are not substitutes for a business general ledger” Perplexity Sonar · negative prompt · soft negative
“Multiple users across platforms (including Koinly and CryptoTaxCalculator) report: Slow or non-existent support responses” Kimi K2 · negative prompt · soft negative
“Caution: Use Koinly for basic reporting, but be prepared to spend significant time auditing the data to ensure accuracy.” GLM 4.7 FlashX · negative prompt · soft negative
“Koinly offers a free plan with support for up to 10,000 transactions and over 700 connections... making it an excellent starting point.” Claude Haiku 4.5 · budget prompt · first choice
“For a company with a limited budget, Koinly stands out as one of the best options among crypto accounting/tax platforms.” Grok 4.20 · budget prompt · first choice
“High ratings (~4.5–4.7 on Trustpilot with 2,000+ reviews). Praised for ease, multi-wallet syncing, and tax reports.” Grok 4.20 · negative prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.