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GoModel vs OmniRoute

Both are MIT-licensed gateways with different jobs. OmniRoute keeps coding agents running across 350+ providers, free tiers, and pooled subscriptions. GoModel is one shared, config-as-code endpoint for teams.

Get started with GoModel See the benchmark

65×

faster responses

2.2 ms vs 145.2 ms

67×

more throughput

4,498 req/s vs 67 req/s

13×

less memory

74 MB vs 954 MB

57×

smaller image

21 MB vs 1,182 MB

The benchmark

A gateway sits on every request, so its overhead adds up. Same machine, same mock backend, one gateway at a time.

Median latency

p50, chat completions · lower is better

65× faster

GoModel2.2 ms

OmniRoute145.2 ms

Tail latency

p99, chat completions · lower is better

57× lower

GoModel6.9 ms

OmniRoute391.7 ms

Time to first token

p50, streaming chat · lower is better

34× faster

GoModel5.0 ms

OmniRoute169.3 ms

Throughput

peak sustained · higher is better

67× more

GoModel4,498 req/s

OmniRoute67 req/s

Memory

peak RAM · lower is better

13× less

GoModel74 MB

OmniRoute954 MB

Cold start

container start to first request · lower is better

7.7× faster

GoModel0.8 s

OmniRoute6.2 s

Docker image

compressed pull size · lower is better

57× smaller

GoModel21 MB

OmniRoute1,182 MB

GoModel 0.1.98 vs OmniRoute 3.8.50 on an AWS c7i.large (2 vCPU, 4 GiB), run 20260928-043817 (28 September 2026). 20,000 requests per workload at concurrency 10, five randomized trials. API workloads served: GoModel 6/6, OmniRoute 6/6. For a fair run, OmniRoute's per-provider request queue was disabled (it would cap a provider at about 3 req/s), token compression stayed at its default (off), and request logging was off on both. Rerun it with one command.

Beyond speed

OmniRoute wins on provider reach and subscription pooling. GoModel wins on shared, reproducible deployment.

	GoModel	OmniRoute
Built for	Teams sharing one production gateway	Developers stretching free and paid quotas
Runtime	One Go binary, built-in dashboard	Node.js; desktop, PWA, Termux builds
Providers	34	350+, 150+ with free tiers
Subscription accounts	Subscription tokens, round-robin	OAuth logins, quota-aware pools
Storage and scale-out	SQLite, Postgres, or MongoDB; replicas	SQLite, single instance by design
Config as code	Env vars, optional YAML	Dashboard, CLI, or API; state in SQLite
Prompt compression	Pro: deterministic, fails open	12 engines, off by default
Dashboard SSO	OIDC in GoModel Pro	OIDC included

Which one fits?

An honest split.

Pick GoModel if

Several teams or apps share one gateway, run as replicas on Postgres or MongoDB.
Config should live in env vars or YAML and redeploy identically.
You need API keys, budgets, and audit logs from one small binary.
Per-request overhead matters at production concurrency.

Pick OmniRoute if

You want Claude Code, Codex, or Cursor to keep running across free tiers and subscriptions.
You want OAuth subscription logins pooled with quota-aware fallback.
You want a desktop, PWA, or Termux app with SSO in the free tier.

Try it against your own workload

Benchmarks are an argument; your traffic is the proof. GoModel speaks the OpenAI and Anthropic APIs natively, so pointing an existing app at it is a base-URL change.

1 · Run GoModel

docker run --rm -p 8080:8080 \
  -e LOG_FORMAT=text \
  -e OPENAI_API_KEY="your-openai-key" \
  enterpilot/gomodel

2 · Point your SDK at it

from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:8080/v1",
    api_key="your-gomodel-key",
)

Full setup, providers, and configuration live in the documentation. Questions? Ask on Discord or book a 30-minute call.