Compare
LM Speed vs Ollama
Runs models locally, so no external API speed testing or pricing comparison.
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 Ollama's)
Pick Ollama if you want…
- Local-first open model execution
- Local model hosting
- Open-source code (ollama/ollama on GitHub, MIT license)
- Integrations with Claude Code, Codex or OpenCode (on Ollama'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.
- Ollama:Ollama lets developers run open language models locally or in the cloud with predictable pricing and privacy guarantees.
- Best for
- LM Speed:Speed and cost benchmarking for LLM APIs
- Ollama:Local-first open model execution
- Who it’s for
- LM Speed:Developers building or optimizing AI applications that rely on LLM APIs.
- Ollama:Developers building AI agents or apps that need private, fast LLM inference.
- Pricing
- LM Speed:Freemium
- Ollama:Freemium
- Plans
- LM Speed:Site verification $0 · Paid provider publishing $19.90 one-time
- Ollama:Free $0 · Pro $20 / mo. or $200/yr per month · Max $100 / mo. per month · Team $500 / mo. per month
- Open source
- LM Speed:—
- Ollama:Yes, 182,009 GitHub stars
- Works with
- LM Speed:OpenAI, DeepSeek, Silicon Flow, Tencent Cloud, any OpenAI-compatible API
- Ollama:Claude Code, Codex, OpenCode, Hermes Agent, OpenClaw, VS Code, Pi, n8n
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.
Ollama features
- Run locally or in cloud. Execute open models on your machine for unlimited use or on hosted cloud nodes with pay-as-you-go credits.
- Privacy-first data handling. Prompts are never logged or used for training; local runs never leave your device.
- Dedicated capacity and concurrency. Multiple agents can run simultaneously with dedicated throughput and configurable concurrency limits.
- Wide model catalog. Access dozens of open models with per-million-token pricing, including off-peak rates.
- One-command integration. Launch models like Claude Code, Codex, OpenCode, and others with a single CLI command.
- Predictable pricing. Free tier with starter credits; paid plans include monthly usage credits and no hidden fees.
LM Speed vs Ollama FAQ
Is LM Speed or Ollama free?+
LM Speed has a free plan (Site verification) and paid plans. Ollama has a free plan; paid plans start at $100/month (Max).
Is LM Speed or Ollama open source?+
Ollama is open source (ollama/ollama on GitHub, MIT license). DevHunt has no public source repository on record for LM Speed.
Do LM Speed and Ollama integrate with the same tools?+
Their integration lists don't overlap: LM Speed lists OpenAI, DeepSeek, Silicon Flow, Tencent Cloud and 1 more; Ollama lists Claude Code, Codex, OpenCode, Hermes Agent and 4 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.