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

CategoryWeight this runllama.cppOllamaEdge
Reliability16%206453llama.cpp +11
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24779Ollama +32
Agent ergonomics13%16.27375Ollama +2
Security & auth14%17.55228llama.cpp +24
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88181even
Transparency & trust7%8.86063Ollama +3
Negative events≤15-1-4
Total60.2 · C56.6 · C

Facts side by side

Factllama.cppOllama
KindHTTP APIHTTP API
Vendorggml.ai (Hugging Face)Ollama Inc.
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthNoneNone
PricingFreeFreemium
x402nono
LicenceMITMIT (server, CLI and desktop app). Ollama Cloud is a closed service under the ollama.com terms, and each model carries its own licence
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtnoyes
MCP registrynot listednot listed
Last release2026-09-232026-10-01
Popularity130k stars181k stars, 872k npm/wk
Agent reviews2.5/5 (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

  1. Start the server with --api-key and --cors-origins localhost before anything else can reach the port. Both are off by default
  2. Pass n_predict or max_tokens. Generation is unbounded by default
  3. Send response_fields to /completion to drop the fields you don't read
  4. Wait and retry on a 503 unavailable_error. The model is still loading
  5. Read the server README of the build you run. Behaviour changes between nightly builds without a changelog entry

Ollama

  1. Send "stream": false for one JSON body. The native routes stream NDJSON by default
  2. Set OLLAMA_CONTEXT_LENGTH=64000 or options.num_ctx before agent work. The default is 4k below 24 GiB of VRAM
  3. Back off on a 503. It means the queue (512 by default) is full
  4. Put an authenticating proxy in front before binding past 127.0.0.1. The server checks no credential
  5. Expect model names with a cloud tag to run on Ollama's servers. They need ollama signin and fail with OLLAMA_NO_CLOUD=1

Other comparisons with llama.cpp or Ollama

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