Amazon SESvsMailgun
How 10 AI models weigh Amazon SES against Mailgun on the 1 buying question where both came up.
- Amazon SES
- 100%of answers named it
- Mailgun
- 100%of answers named it
- Placed higher
- 26–14times Amazon SES vs Mailgun, over 40 model rankings that listed either
- Models leaning
- 6–4toward Amazon SES vs Mailgun
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | Amazon SES | Mailgun | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 4–0 | Amazon SES |
| GPT-6 Luna | 100% | 100% | 4–0 | Amazon SES |
| Gemini 4 Argon | 100% | 100% | 4–0 | Amazon SES |
| Qwen 3.8 Flash | 100% | 100% | 4–0 | Amazon SES |
| DeepSeek V4 Pro | 100% | 100% | 1–3 | Mailgun |
| GLM-5.3 | 100% | 100% | 4–0 | Amazon SES |
| Kimi K3 | 100% | 100% | 4–0 | Amazon SES |
| MiniMax M3 | 100% | 100% | 1–3 | Mailgun |
| Mistral Large 4 | 100% | 100% | 0–4 | Mailgun |
| Nemotron 3 Ultra | 100% | 100% | 0–4 | Mailgun |
What the models say about Amazon SES
One reason per model, from the shared questions
- Claude Haiku 5.5
Very low cost at scale, reliable, and widely trusted for app emails.
- GPT-6 Luna
Highly scalable, cost-effective sending with strong infrastructure; setup and deliverability management need more expertise.
- Gemini 4 Argon
Unbeatable cost-effectiveness and massive scalability for teams willing to handle initial AWS setup.
- Qwen 3.8 Flash
Best price at scale, strong deliverability, developer standard.
- DeepSeek V4 Pro
Ultra-low cost at scale, tight AWS integration, very reliable
- GLM-5.3
Cheapest at scale, AWS integration, excellent deliverability.
- Kimi K3
Unbeatable cost at scale, rock-solid infrastructure, deliverability requires care.
- MiniMax M3
Extremely cheap, highly scalable, integrates with AWS ecosystem
- Mistral Large 4
Cheapest by far at scale; reliable but requires more setup and deliverability tuning.
- Nemotron 3 Ultra
Most cost-effective at scale, reliable AWS infrastructure integration
What the models say about Mailgun
One reason per model, from the shared questions
- Claude Haiku 5.5
Developer-friendly API with good logs and flexible regional sending options.
- GPT-6 Luna
Flexible APIs, detailed deliverability controls, and solid support for high-volume application email.
- Gemini 4 Argon
Powerful API-first service with advanced email validation, routing, and detailed delivery logs.
- Qwen 3.8 Flash
Powerful routing and parsing APIs popular with developers.
- DeepSeek V4 Pro
Developer-first API, excellent deliverability, strong for high-volume sending
- GLM-5.3
Developer-friendly API, strong logging and analytics.
- Kimi K3
Developer-first APIs, strong validation and routing, excellent log retention.
- MiniMax M3
Developer-friendly API, solid deliverability, good pricing
- Mistral Large 4
Powerful API, flexible routing, strong for developers needing fine-grained control.
- Nemotron 3 Ultra
Powerful API, excellent parsing, strong routing and webhook capabilities
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | Amazon SES | Mailgun |
|---|---|---|
| Best transactional email services | 100% #1 | 100% #1 |
| Best email marketing platforms | · | 3% #20 |