Access 70+ LLMs with One API Key
Built for teams shipping AI to production. MegaLLM routes each request to the cheapest, fastest provider available. If one goes down, your users never notice. Save up to 60% on every token.
from openai import OpenAI
client = OpenAI(
base_url="https://ai.megallm.io/v1",
api_key="your-api-key"
)
response = client.chat.completions.create(
model="|",
messages=[{"role": "user", "content": "Analyze this data..."}]
)Intelligence before every route
Every request is scored on cost, speed, and reliability before it leaves our gateway. If a provider fails, your request is rerouted before your users notice.
Explore the platform
One API, Every Major LLM
Bifrost - Adaptive Routing & Failover
Real-Time Analytics & Cost Management
Enterprise-Grade Infrastructure for AI at Scale
MegaLLM processes 30B+ tokens daily with sub-4ms validation overhead. Infrastructure built for speed, security, and reliability so your AI apps stay fast under load.
- High-Performance Gateway
- Sub-4ms API validation. 1,000+ RPS inference capacity. SHA-256 key hashing, Redis Lua atomic rate limiting, and 3-tier caching (in-memory LRU, Redis, MongoDB) keep overhead near zero.
- Enterprise Security & Privacy
- Encryption in transit and at rest with full RBAC and 14-type audit trails. SHA-256 key hashing with 7 rotation strategies. Data isolation and secure processing throughout.
- Global Edge Network
- Azure Front Door edge PoPs route requests to the nearest endpoint automatically, reducing first-byte latency for users worldwide.
Wall of Love
Hear from engineers, founders, and teams who ship faster with MegaLLM.
“We were burning $4,200/month on Claude alone through direct API. Switched to MegaLLM and our bill dropped to $2,600 for the same traffic. Same models. Zero code changes beyond the base URL.”
“I was on the beta and locked in at 60% off Claude pricing. Still on that plan. I'd feel bad about it if the product wasn't this good.”
“Direct PAYG through Anthropic was throttling us constantly. On MegaLLM we're getting double the throughput for the same budget. I stopped asking how and started shipping.”
“Zero downtime incidents in three months. Our old setup with direct provider calls went down at least twice. MegaLLM routes around problems before I even know they exist.”
“Spending $1,100/week through MegaLLM. That's a lot of inference. At this volume I expected problems. There haven't been any.”
“Beta access at 60% off Claude was the reason I signed up. Staying because it works. The unified API means I can swap in Gemini or GPT-4o on specific routes without rewriting anything.”
“I've tried three other gateways. All of them added latency and weird failure modes. MegaLLM is the first one where I genuinely cannot tell I'm not hitting Anthropic directly.”
“Our QA pipeline runs 24/7 and costs us about $900/week in tokens. No billing surprises, rate limit walls, or failed requests in six weeks. That's new for us.”
“The cost savings from the beta discount paid for six months of my runway. Not exaggerating.”
“I route Claude Sonnet for complex reasoning and Haiku for cheap inference through the same endpoint. MegaLLM handles the split. My cost per output token dropped 44%.”
“We pushed 40 million tokens last month. Didn't have to talk to anyone, file a support ticket, or wait for a tier increase. It just worked.”
“I was skeptical about using a gateway for production medical documentation. The reliability is not something I'd trade. Three months, zero provider errors surfacing to users.”
“Got in on the beta. Locked 60% off Anthropic costs. My runway tripled. That's not a figure of speech.”
“We hit $1,400 in MegaLLM spend last week and I barely thought about it. With direct API we'd have spent that worrying about hitting limits. Here I'm just worried about product.”
“My team evaluated OpenRouter, Portkey, and MegaLLM. We picked MegaLLM because it was the only one where the latency numbers in the docs matched what we measured in production.”
“The beta discount is real. I've had the same token costs for months while the market has moved. I'm not touching this setup.”
“We had a Claude outage two months ago that would have taken down our product. MegaLLM rerouted to a backup before our on-call even saw the alert. I found out from a Slack message, not a page.”
“I spend more than $1,000 a week here and I've never thought about switching. The pricing is honest, the uptime is real, and support replied with a human in 11 minutes.”
“We were burning $4,200/month on Claude alone through direct API. Switched to MegaLLM and our bill dropped to $2,600 for the same traffic. Same models. Zero code changes beyond the base URL.”
“I was on the beta and locked in at 60% off Claude pricing. Still on that plan. I'd feel bad about it if the product wasn't this good.”
“Direct PAYG through Anthropic was throttling us constantly. On MegaLLM we're getting double the throughput for the same budget. I stopped asking how and started shipping.”
“Zero downtime incidents in three months. Our old setup with direct provider calls went down at least twice. MegaLLM routes around problems before I even know they exist.”
“Spending $1,100/week through MegaLLM. That's a lot of inference. At this volume I expected problems. There haven't been any.”
“Beta access at 60% off Claude was the reason I signed up. Staying because it works. The unified API means I can swap in Gemini or GPT-4o on specific routes without rewriting anything.”
“I've tried three other gateways. All of them added latency and weird failure modes. MegaLLM is the first one where I genuinely cannot tell I'm not hitting Anthropic directly.”
“Our QA pipeline runs 24/7 and costs us about $900/week in tokens. No billing surprises, rate limit walls, or failed requests in six weeks. That's new for us.”
“The cost savings from the beta discount paid for six months of my runway. Not exaggerating.”
“I route Claude Sonnet for complex reasoning and Haiku for cheap inference through the same endpoint. MegaLLM handles the split. My cost per output token dropped 44%.”
“We pushed 40 million tokens last month. Didn't have to talk to anyone, file a support ticket, or wait for a tier increase. It just worked.”
“I was skeptical about using a gateway for production medical documentation. The reliability is not something I'd trade. Three months, zero provider errors surfacing to users.”
“Got in on the beta. Locked 60% off Anthropic costs. My runway tripled. That's not a figure of speech.”
“We hit $1,400 in MegaLLM spend last week and I barely thought about it. With direct API we'd have spent that worrying about hitting limits. Here I'm just worried about product.”
“My team evaluated OpenRouter, Portkey, and MegaLLM. We picked MegaLLM because it was the only one where the latency numbers in the docs matched what we measured in production.”
“The beta discount is real. I've had the same token costs for months while the market has moved. I'm not touching this setup.”
“We had a Claude outage two months ago that would have taken down our product. MegaLLM rerouted to a backup before our on-call even saw the alert. I found out from a Slack message, not a page.”
“We were burning $4,200/month on Claude alone through direct API. Switched to MegaLLM and our bill dropped to $2,600 for the same traffic. Same models. Zero code changes beyond the base URL.”
“Zero downtime incidents in three months. Our old setup with direct provider calls went down at least twice. MegaLLM routes around problems before I even know they exist.”
“I've tried three other gateways. All of them added latency and weird failure modes. MegaLLM is the first one where I genuinely cannot tell I'm not hitting Anthropic directly.”
“I route Claude Sonnet for complex reasoning and Haiku for cheap inference through the same endpoint. MegaLLM handles the split. My cost per output token dropped 44%.”
“Got in on the beta. Locked 60% off Anthropic costs. My runway tripled. That's not a figure of speech.”
“The beta discount is real. I've had the same token costs for months while the market has moved. I'm not touching this setup.”
“We were burning $4,200/month on Claude alone through direct API. Switched to MegaLLM and our bill dropped to $2,600 for the same traffic. Same models. Zero code changes beyond the base URL.”
“Zero downtime incidents in three months. Our old setup with direct provider calls went down at least twice. MegaLLM routes around problems before I even know they exist.”
“I've tried three other gateways. All of them added latency and weird failure modes. MegaLLM is the first one where I genuinely cannot tell I'm not hitting Anthropic directly.”
“I route Claude Sonnet for complex reasoning and Haiku for cheap inference through the same endpoint. MegaLLM handles the split. My cost per output token dropped 44%.”
“Got in on the beta. Locked 60% off Anthropic costs. My runway tripled. That's not a figure of speech.”
“I was on the beta and locked in at 60% off Claude pricing. Still on that plan. I'd feel bad about it if the product wasn't this good.”
“Spending $1,100/week through MegaLLM. That's a lot of inference. At this volume I expected problems. There haven't been any.”
“Our QA pipeline runs 24/7 and costs us about $900/week in tokens. No billing surprises, rate limit walls, or failed requests in six weeks. That's new for us.”
“We pushed 40 million tokens last month. Didn't have to talk to anyone, file a support ticket, or wait for a tier increase. It just worked.”
“We hit $1,400 in MegaLLM spend last week and I barely thought about it. With direct API we'd have spent that worrying about hitting limits. Here I'm just worried about product.”
“We had a Claude outage two months ago that would have taken down our product. MegaLLM rerouted to a backup before our on-call even saw the alert. I found out from a Slack message, not a page.”
“I was on the beta and locked in at 60% off Claude pricing. Still on that plan. I'd feel bad about it if the product wasn't this good.”
“Spending $1,100/week through MegaLLM. That's a lot of inference. At this volume I expected problems. There haven't been any.”
“Our QA pipeline runs 24/7 and costs us about $900/week in tokens. No billing surprises, rate limit walls, or failed requests in six weeks. That's new for us.”
“We pushed 40 million tokens last month. Didn't have to talk to anyone, file a support ticket, or wait for a tier increase. It just worked.”
“We hit $1,400 in MegaLLM spend last week and I barely thought about it. With direct API we'd have spent that worrying about hitting limits. Here I'm just worried about product.”
“Direct PAYG through Anthropic was throttling us constantly. On MegaLLM we're getting double the throughput for the same budget. I stopped asking how and started shipping.”
“Beta access at 60% off Claude was the reason I signed up. Staying because it works. The unified API means I can swap in Gemini or GPT-4o on specific routes without rewriting anything.”
“The cost savings from the beta discount paid for six months of my runway. Not exaggerating.”
“I was skeptical about using a gateway for production medical documentation. The reliability is not something I'd trade. Three months, zero provider errors surfacing to users.”
“My team evaluated OpenRouter, Portkey, and MegaLLM. We picked MegaLLM because it was the only one where the latency numbers in the docs matched what we measured in production.”
“I spend more than $1,000 a week here and I've never thought about switching. The pricing is honest, the uptime is real, and support replied with a human in 11 minutes.”
“Direct PAYG through Anthropic was throttling us constantly. On MegaLLM we're getting double the throughput for the same budget. I stopped asking how and started shipping.”
“Beta access at 60% off Claude was the reason I signed up. Staying because it works. The unified API means I can swap in Gemini or GPT-4o on specific routes without rewriting anything.”
“The cost savings from the beta discount paid for six months of my runway. Not exaggerating.”
“I was skeptical about using a gateway for production medical documentation. The reliability is not something I'd trade. Three months, zero provider errors surfacing to users.”
“My team evaluated OpenRouter, Portkey, and MegaLLM. We picked MegaLLM because it was the only one where the latency numbers in the docs matched what we measured in production.”
FAQ
Pay only for what you use. Per-token pricing, 20-60% cheaper than going direct to providers. No monthly fees, no minimums. The more you use, the deeper the discount. Enterprise volume pricing available for teams processing 10M+ tokens per month. Pay with Stripe globally or Razorpay in India.
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to ship AI features faster and cheaper.