Best OpenRouter alternatives

The right OpenRouter alternative depends on what you need. For automatic, per-prompt model selection with optional hallucination scores, Telluvian; for a routing recommendation you call yourself, Not Diamond; for a self-run open-source gateway, LiteLLM or Portkey; for a cheaper way to serve a named frontier model, Martian's Thesean Ship. Of the tools compared here, Telluvian is the only one that also documents hallucination detection.

Last reviewed 8 October 2026

The alternatives

Telluvian
Best for: Automatic, per-prompt model selection against a fixed quality bar, with optional per-token hallucination scores.
Prompt-aware. Model Select predicts each model’s performance on the specific prompt and picks the cheapest one that clears your xPerf quality bar.
How Model Select works
Not Diamond
Best for: A routing recommendation you can train on your own evaluation data.
Prompt-aware. A pre-trained router, or a custom router trained on your evaluation data, predicts the best model per query in quality, cost or latency mode. It returns the recommendation; you call the model yourself.
Telluvian vs Not Diamond, in detail
LiteLLM
Best for: An open-source gateway you run yourself, with budgets, virtual keys and load balancing.
You choose the model; the router balances across its deployments by shuffle (the default), least busy, latency, cost or usage. A beta auto router classifies prompts with heuristics, keyword rules or an LLM classifier.
Telluvian vs LiteLLM, in detail
Portkey
Best for: A gateway with logs, observability, prompt management and guardrails, hosted or self-hosted.
Rules you configure: conditional routing on metadata, request parameters or URL path, plus fallbacks and load balancing.
Telluvian vs Portkey, in detail
Martian
Best for: The behaviour of a frontier model you already use, for less, backed by a quality SLA.
You name a base model with the ship-like/ prefix. That model sets the quality bar, and Ship finds the most cost-effective way to meet it, using inference-time optimisation such as steering vectors and prompt optimisation.
Telluvian vs Martian, in detail

Side by side

OpenRouter alternatives compared
	How the model is chosen	Hallucination detection	Models	Pricing
Telluvian	Prompt-aware. Model Select predicts each model’s performance on the specific prompt and picks the cheapest one that clears your xPerf quality bar.	Built in. Per-token hallucination scores from probes reading an open-weight proxy model, including for closed models. Off by default.	190+ models from OpenAI, Anthropic, Google, Qwen, DeepSeek, xAI, Z-AI, Moonshot and Meta, behind one OpenAI-compatible API.	Prepaid, pay as you go. Provider list price for tokens, plus $0.05 per 1M input tokens for Model Select and $1.00 per 1M completion tokens for hallucination scores (optional).
Not Diamond	Prompt-aware. A pre-trained router, or a custom router trained on your evaluation data, predicts the best model per query in quality, cost or latency mode. It returns the recommendation; you call the model yourself.	None documented.	90+ models from 13 providers including OpenAI, Anthropic, Google, Mistral, xAI and DeepSeek. Custom and fine-tuned models through a custom router.	$0.05 per million tokens routed on pay as you go; volume discounts on Enterprise. You pay model providers directly, since you make the model call.
LiteLLM	You choose the model; the router balances across its deployments by shuffle (the default), least busy, latency, cost or usage. A beta auto router classifies prompts with heuristics, keyword rules or an LLM classifier.	Guardrail integrations cover prompt injection, PII and moderation. No hallucination detection documented.	100+ LLMs across providers, plus your own deployments.	Open source (MIT) and free to self-host. Enterprise is custom priced, with a 30-day trial. You pay providers directly.
Portkey	Rules you configure: conditional routing on metadata, request parameters or URL path, plus fallbacks and load balancing.	Guardrails include deterministic checks, LLM-based checks such as prompt injection, and partner integrations. Hallucination detection is not listed.	200+ LLMs across every major provider; its open-source gateway lists 1,600+ LLMs from 45+ providers.	Free Developer tier with 10k recorded logs a month. Production is $49 a month for 100k logs, then $9 per extra 100k. Enterprise is custom. Priced on logs, not tokens.
Martian	You name a base model with the ship-like/ prefix. That model sets the quality bar, and Ship finds the most cost-effective way to meet it, using inference-time optimisation such as steering vectors and prompt optimisation.	None documented.	A short list of frontier models, including GPT-5.6 Sol, Claude Opus 4.8, Claude Sonnet 5 and Claude Haiku 4.5, through OpenAI- and Anthropic-compatible APIs.	Rates not published. Claims a 50% lower LLM bill without changing model behaviour, guaranteed by an SLA; the quality SLA is arranged with its team.

Frequently asked questions

What is the best OpenRouter alternative for automatic model selection?

Telluvian and Not Diamond both pick a model per prompt. Telluvian's Gallery returns the answer in one OpenAI-compatible request; Not Diamond returns a recommendation that you then call yourself.

What about a self-hosted OpenRouter alternative?

LiteLLM and Portkey publish open-source gateways you can run yourself. Neither documents prompt-aware model selection or hallucination detection; Telluvian offers both as a hosted API.

Is there an OpenRouter alternative with hallucination detection?

Yes, Telluvian: set include_scores to true and every generated token comes back with a hallucination score. None of the other gateways compared here document hallucination detection.

Is there a free OpenRouter alternative?

LiteLLM and the Portkey gateway are open source and free to self-host, with your own infrastructure costs. Telluvian has no subscription or top-up fee: you pay provider list price for tokens, plus per-token fees only for the features you use.

How hard is it to switch from OpenRouter to Telluvian?

Telluvian has an OpenAI-compatible API, so most chat integrations only change the base URL, the API key and the model name, which becomes telluvian/gallery-1. Tool calling is coming soon.

Try it on your own prompts

Point an OpenAI SDK at Telluvian, send telluvian/gallery-1 as the model, and see which model answers each request. Questions about your use case go straight to the team.

Email hello@telluvian.ai

Sources

Competitor details come from their own public docs and pricing pages, checked on 8 October 2026. Where a page did not say, neither do we. Spotted something out of date? Tell us at hello@telluvian.ai.