Stripe Crypto vs Fireblocks
Three of fourteen models named Stripe Crypto first on the direct prompt; zero named Fireblocks. Stripe Crypto was named by twelve of the fourteen models and Fireblocks by eleven and Stripe Crypto carries 27 labels and Fireblocks 15, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories 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 stablecoin platforms page.
By framing
Stripe CryptoFirst choices, of fourteen modelsFireblocks
Across every category in the October 2026 Edition, Stripe Crypto and Fireblocks were named in the same answer twenty-five times, of the 89 answers naming Stripe Crypto and the 68 naming Fireblocks. In those answers Fireblocks took the first choice one time and Stripe Crypto two.
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 4.1 Fast | | | | | ||
| 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 | | |
Stripe Crypto Fireblocks first choice named as an alternative argued againstblank: not namedEach cell is one answer, Stripe Crypto on the left and Fireblocks on the right.The direct prompt
Stripe Crypto first, Fireblocks not the choice
3 of 14 modelsFireblocks was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 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
Stripe Crypto30%#1 of 11Fireblocks0%#11 of 11Stripe Crypto9%#3 of 11Fireblocks2%#7 of 11Fireblocks10%#3 of 7Stripe Crypto6%#5 of 7What the models said about Stripe Crypto
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Stripe charges 1.5% plus network fees, which are less cost-effective for budget-conscious businesses” Mistral Small · budget prompt · soft negative
“its regional and stablecoin rollout is less comprehensive than BVNK or Circle” Mistral Small · direct prompt · soft negative
“More expensive than CoinGate for simple stablecoin acceptance.” DeepSeek V4 Flash · budget prompt · soft negative
“Stripe Crypto: Known for its fast settlement finality (Solana 400ms) and direct bank off-ramp.” Llama 4 Maverick · direct prompt · first choice
“Top Recommendation for Most Mid-Market Firms: Eco or Stripe Crypto” Qwen 3.7 Flash · direct prompt · first choice
“Bridge (Stripe) or Stripe Crypto would be the top recommendations” MiniMax M2.5 · direct prompt · first choice
What the models said about Fireblocks
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“more custody-heavy; overkill unless you need MPC wallets/multi-party security” Grok 4.1 Fast · paraphrase prompt · soft negative
“Circle (USDC) and Fireblocks are both excellent choices” Mistral Small · paraphrase prompt · first choice
“Best if your priority is institutional-grade custody, MPC wallets, and tokenization for your treasury team.” DeepSeek V4 Flash · paraphrase prompt · alternative
“if your top concern is institutional custody, security, and transfer controls” Perplexity Sonar · paraphrase prompt · alternative
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.