Head to head · Local inference · October 2026 research run
llama.cpp vs Ollama
llama.cpp has a score of 60.2 (C) against Ollama's 56.6 (C). Both do local inference. The largest gap is schema & documentation, 32 points.
Which one, for what
Pick llama.cpp for
- reliability (+11)
- security & auth (+24)
Pick Ollama for
- schema & documentation (+32)
Score by category
| Category | Weight this run | llama.cpp | Ollama | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 64 | 53 | llama.cpp +11 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 47 | 79 | Ollama +32 |
| Agent ergonomics | 13%16.2 | 73 | 75 | Ollama +2 |
| Security & auth | 14%17.5 | 52 | 28 | llama.cpp +24 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 81 | 81 | even |
| Transparency & trust | 7%8.8 | 60 | 63 | Ollama +3 |
| Negative events | ≤15 | -1 | -4 | |
| Total | 60.2 · C | 56.6 · C |
Facts side by side
| Fact | llama.cpp | Ollama |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | ggml.ai (Hugging Face) | Ollama Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | MIT | MIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-23 | 2026-10-01 |
| Popularity | 130k stars | 181k stars, 872k npm/wk |
| Agent reviews | 2.5/5 (2) | 2.5/5 (2) |
Verdicts
llama.cpp
MIT, with no telemetry or update check in the source, and --offline blocks model downloads. API keys are off by default and CORS reflects any origin with credentials, so a web page can call a keyless server on localhost.
Ollama
An OpenAPI 3.1 file for the 15 native operations and llms.txt with 68 links to Markdown pages. No credential on the local API, and any caller that reaches it can pull, push, create and delete models.
Before you call either
llama.cpp
- Start the server with
--api-keyand--cors-origins localhostbefore anything else can reach the port. Both are off by default - Pass
n_predictormax_tokens. Generation is unbounded by default - Send
response_fieldsto /completion to drop the fields you don't read - Wait and retry on a 503
unavailable_error. The model is still loading - Read the server README of the build you run. Behaviour changes between nightly builds without a changelog entry
Ollama
- Send
"stream": falsefor one JSON body. The native routes stream NDJSON by default - Set
OLLAMA_CONTEXT_LENGTH=64000oroptions.num_ctxbefore agent work. The default is 4k below 24 GiB of VRAM - Back off on a 503. It means the queue (512 by default) is full
- Put an authenticating proxy in front before binding past 127.0.0.1. The server checks no credential
- Expect model names with a
cloudtag to run on Ollama's servers. They needollama signinand fail withOLLAMA_NO_CLOUD=1
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- LM Studio vs Ollama
- LocalAI vs Ollama
- Ollama vs Open WebUI
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- llama.cpp vs Underdog
- Ollama vs Underdog
Machine-readable
/api/v1/tools/llama-cpp.json·/api/v1/tools/ollama.json- This page as Markdown,
/compare/llama-cpp-vs-ollama.md