Not a ranking: each option is described by the situation it fits, with its trade-off, whether it's open source or free to start, whether AI coding agents can work with it, and how many makers' products use it for this job.
On Product Hunt, people weigh OpenRouter against: Eden AI, LiteLLM. Some solve a neighbouring job rather than the same one.
Which provider, and whether to go through a gateway. Going direct to a provider gets its newest models and features first and the lowest latency; a gateway gives you one key and one bill for hundreds of models, with fallbacks when a provider is down, for a small markup or a proxy you run. The code that calls the model — an AI SDK or agent framework — is its own decision.
OpenRouter (Gateway (many providers, one API)): Trying many models from many providers with one API key and one bill, without opening an account at each. Trade-off: A fee on top of provider prices, and your traffic and data pass through a third party.
Best forThe broadest model lineup — text, images, speech, embeddings — and the largest ecosystem.
Trade-offFrequent model and API changes to keep up with, and no option to run its hosted models elsewhere.
Used by 734 makers' products for this
Best forCoding, long documents and agent-style tool use.
Trade-offNo image generation or embedding models of its own, so those need a second provider.
Used by 251 makers' products for this · OpenRouter vs Claude →
Best forVery long context and multimodal input, with a free tier to start.
Trade-offFree-tier prompts may be used to improve Google's products, so paid tier is the one for user data.
Used by 99 makers' products for this
Best forVery low-latency inference on open models, for real-time features.
Trade-offOnly the open models it chooses to host, and no frontier closed models.
Used by 39 makers' products for this · OpenRouter vs Groq →
Best forRunning your own OpenAI-compatible proxy in front of your own provider keys, with retries, routing and per-key budgets.
Trade-offYou deploy, monitor and upgrade it yourself; SSO and audit logs are in the paid enterprise tier.
Used by 21 makers' products for this · OpenRouter vs LiteLLM →
Best forA European provider whose API covers chat, coding, OCR and speech models.
Trade-offA smaller ecosystem of third-party integrations than the largest providers.
Used by 15 makers' products for this
Best forLow per-token prices on strong reasoning and coding models, with OpenAI- and Anthropic-format endpoints.
Trade-offServed from China, which matters for some customers' data requirements; peak-hour prices are double off-peak.
Used by 11 makers' products for this
Best forOpenAI models inside an Azure account, with regional and EU/US data-zone deployments.
Trade-offMore setup than the OpenAI API (Azure resources, deployments per model), and new models can arrive later.
Used by 23 makers' products for this
Best forPer-token access to a wide catalog of open-weight models, with fine-tuning and dedicated GPUs from the same vendor.
Trade-offSeveral billing models to compare — per token, per GPU-hour, dedicated and reserved — and only the models it chooses to host.
Used by 12 makers' products for this
Best forGrok models with built-in web and X search, plus image, video and voice APIs.
Trade-offReal-time data only arrives when you enable the search tools, which are billed as tool calls.
Used by 6 makers' products for this
Best forLow per-token prices on open-weight coding and agent models, with speech, image, video and music models in the same account.
Trade-offA smaller ecosystem of integrations and guides than the largest providers; its open-weight models need multi-GPU servers if you want to self-host them.
Used by 6 makers' products for this
Best forServerless and dedicated inference on popular open-weight models, with fine-tuning and batch jobs at half the serverless price.
Trade-offKeeping requests in the US means choosing US-only model variants priced at 1.5× standard, and priority or fast variants cost more again.
Used by 5 makers' products for this
Best forGemini and partner models such as Claude on Google Cloud, with its regions, IAM and billing.
Trade-offMore setup than the Gemini API (a Cloud project, service accounts, regions), for the same models.
Used by 3 makers' products for this
Best forA gateway that also handles guardrails, prompt management and request logs in one dashboard.
Trade-offThe free tier caps logged requests; the full control layer is a paid hosted product.
Used by 2 makers' products for this
Best forOne API key and bill for LLMs and non-chat AI — OCR, speech, translation, vision — across many providers, with an EU endpoint.
Trade-offA 5.5% fee on credits on top of provider prices, and your traffic and data pass through a third party.
Used by 2 makers' products for this
Best forLow per-token prices on a large catalog of open-weight models, plus embeddings, speech and image models, behind an OpenAI-compatible API.
Trade-offNo free tier — a card or prepaid balance comes first — and a default cap of 200 concurrent requests per model until you ask for more.
Used by 2 makers' products for this
Best forClaude, Llama, Mistral, Amazon Nova and other models inside an AWS account, billed with the rest of your AWS usage.
Trade-offIAM, regions and per-model access requests add setup, and new models can arrive later than on the maker's own API.
Used by 1 makers' products for this
Best forOpen-source image, video and audio models without running GPUs yourself.
Trade-offBilled per second of compute, and cold starts on less-used models add latency.
No maker product tracked for this yet
Best forOne key and one bill for hundreds of models at provider list prices, with fallbacks and budgets, built into the AI SDK.
Trade-offTied to a Vercel team and prepaid credits, and bringing your own provider keys needs the paid tier.
No maker product tracked for this yet
Best forA self-hosted, open-source gateway written in Go that routes one OpenAI-compatible API to many providers with failover, load balancing and caching.
Trade-offYounger and with a smaller community than LiteLLM; clustering, guardrails and some governance features are in the paid enterprise edition.
No maker product tracked for this yet
Best forQwen models plus DeepSeek, Kimi and GLM under one Alibaba Cloud account, with OpenAI- and Anthropic-format endpoints.
Trade-offKeys, endpoints and model lists are separate per region, and batch and fine-tuning are only in Singapore and Beijing.
No maker product tracked for this yet
Best forKimi K3, an open-weight model with 1M-token context, and coding models behind OpenAI- and Anthropic-format endpoints.
Trade-offRate limits start very low and rise only with total top-ups; inputs may be used to improve its services unless you arrange otherwise.
No maker product tracked for this yet
Best forGLM coding and agent models through Z.ai, with free Flash models and Anthropic-format access for Claude Code.
Trade-offCaching is still in beta with unpublished rules, and the international and mainland platforms are separate accounts.
No maker product tracked for this yet
Best forByteDance's Seed models alongside its Seedream image and Seedance video models, with an OpenAI-compatible API.
Trade-offNewer Doubao models launch on the mainland platform first; prices step up for longer prompts.
No maker product tracked for this yet
Best forBaidu's ERNIE models through Qianfan, with an OpenAI-compatible endpoint.
Trade-offData may be processed in any country with Qianfan facilities, and the terms tell you not to send confidential information.
No maker product tracked for this yet
Best forTencent's HY models plus DeepSeek, GLM, Kimi and MiniMax on one TokenHub key, in OpenAI and Anthropic formats.
Trade-offHY vision and translation models are only on the mainland site, and processing can leave your chosen region for operational reasons.
No maker product tracked for this yet
Best forVery fast output — thousands of tokens per second — on a small set of open-weight models.
Trade-offOnly two models on self-serve pay-as-you-go (others need a dedicated contract), a 131k-token context cap, and no discount on cached input.
No maker product tracked for this yet
Best forMeta's Muse Spark models for agents and coding, with a 1M-token context, multimodal input and OpenAI- and Anthropic-format endpoints.
Trade-offClosed weights and a young API (public preview from July 2026); the cheap contributor tier gives Meta the right to train on your prompts and outputs.
No maker product tracked for this yet
Best forVery low per-token prices on open-weight models with a 1M-token context and image, audio and video input, through OpenAI- and Anthropic-format endpoints.
Trade-offIts published terms and data handling are mainland China's (overseas terms weren't found), and older models are retired about a month after a new version ships.
No maker product tracked for this yet
