Compare
LM Speed vs Replicate
Short answer: Pick LM Speed if you want Speed and cost benchmarking for LLM APIs; pick Replicate if you want run and fine-tune ML models via API. Both have a free plan.
Which to pick
Pick LM Speed if you want…
- Speed and cost benchmarking for LLM APIs
- Integrations with OpenAI, DeepSeek or Silicon Flow (on LM Speed's list, not Replicate's)
Pick Replicate if you want…
- Run and fine-tune ML models via API
- Model execution and fine-tuning
- Integrations with Node, Python or HTTP (on Replicate's list, not LM Speed's)
Side by side
- What it is
- LM Speed:LM Speed lets developers test, compare and audit the speed and cost of LLM APIs across many providers.
- Replicate:Replicate provides a cloud API to run, fine-tune, and deploy open-source and custom machine-learning models with a single line of code.
- Best for
- LM Speed:Speed and cost benchmarking for LLM APIs
- Replicate:Run and fine-tune ML models via API
- Who it’s for
- LM Speed:Developers building or optimizing AI applications that rely on LLM APIs.
- Replicate:Developers building AI features who need easy model inference and deployment
- Pricing
- LM Speed:Freemium
- Replicate:Freemium
- Free plan or trial
- LM Speed:Free plan (Site verification)
- Replicate:Free trial
- Plans
- LM Speed:Site verification $0 · Paid provider publishing $19.90 one-time
- Replicate:—
- Works with
- LM Speed:OpenAI, DeepSeek, Silicon Flow, Tencent Cloud, any OpenAI-compatible API
- Replicate:Node, Python, HTTP
LM Speed features
- Model score lookup. Search models to view benchmark scores for coding, reasoning, math and more.
- Pricing comparison. Side-by-side per-token pricing across 100+ providers, including free tiers.
- Real-time speed benchmarks. Run five-round tests measuring latency, throughput and total duration.
- API security audit. Check model authenticity, hidden prompts, instruction tampering and error leakage.
- Custom endpoint testing. Benchmark any OpenAI-compatible URL, API key and model ID.
- Analytics dashboard. Review latency, throughput, health signals and stability rankings.
Replicate features
- One-line model inference. Run any public model with a single line of code in Node, Python or HTTP.
- Fine-tune with your data. Improve existing models by training on your own datasets via the Replicate API.
- Deploy custom models. Package models with Cog to create private, scalable API endpoints.
- Pay-as-you-go pricing. Only pay for compute time or per-output token/image; no upfront fees.
- Hardware selection. Choose CPU or GPU instances (A100, H100, L40S, T4) and scale automatically.
LM Speed vs Replicate FAQ
What is the difference between LM Speed and Replicate?+
Replicate: Offers API for running/fine-tuning models but does not focus on latency or pricing analytics.
Should I use LM Speed or Replicate?+
Pick LM Speed if you want Speed and cost benchmarking for LLM APIs or integrations with OpenAI, DeepSeek or Silicon Flow (on LM Speed's list, not Replicate's). Pick Replicate if you want run and fine-tune ML models via API, model execution and fine-tuning or integrations with Node, Python or HTTP (on Replicate's list, not LM Speed's).
Is LM Speed or Replicate free?+
LM Speed has a free plan (Site verification) and paid plans. Replicate has a free plan and paid plans.
Do LM Speed and Replicate integrate with the same tools?+
Their integration lists don't overlap: LM Speed lists OpenAI, DeepSeek, Silicon Flow, Tencent Cloud and 1 more; Replicate lists Node, Python and HTTP.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.