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The short version: OpenRouter has the larger catalog and the more established user base. InferAll has a free open-source tier you can actually budget around and a native Anthropic-format endpoint, so Claude Code and Cline work without an adapter. If you live inside those tools or you want a stable free pool of OSS inference for a team, InferAll is the more direct fit. If you need the long tail of fine-tunes and small providers, stay on OpenRouter.
| Feature | OpenRouter | InferAll |
|---|---|---|
| Catalog size | Hundreds of models across many upstreams | 255+ models across 6 providers |
| Free tier | A pool of zero-priced models, rate-capped | 100k tokens/month on 186 NVIDIA-hosted OSS |
| Anthropic-format endpoint | No (OpenAI-format only) | Yes — /v1/messages |
| OpenAI-format endpoint | Yes | Yes — /v1 |
| Native SDK | TypeScript provider for Vercel AI SDK | None first-party yet — use OpenAI/Anthropic SDKs with a base-URL change |
| Failover / fallback | Per-request models array in the request body | Server-side cross-provider retry on 429/529/5xx/timeout |
| Pricing model | Per-model markup on token prices | Premium providers at published price, zero markup |
| Community trust | High — established, large user base | Emerging |
| VS Code extension | No first-party branded extension | Yes — InferAll for VS Code (Cline-based, sign-in to use) |
| IDE integration story | BYO: set base URL in your editor's custom-API settings | Zero-config via the extension; BYO also supported |
Two of these rows are partly inferred from public sources rather than verified head-to-head — see the notes on catalog size and SDK packaging in the source. Have a correction? Email contact@kindly.fyi.
OpenRouter has spent longer building out its catalog, and that shows. If your workload depends on a specific Mistral fine-tune, a Cohere Command R+ variant, a Together-hosted OSS model, or any of the long-tail community endpoints that come and go on smaller providers, OpenRouter is more likely to already host it. They also surface model-level metadata — prompt prices, context windows, throughput hints — in a way that makes evaluation fast. If you're running an experiment that needs five candidate models you've never used before, the breadth alone saves you a procurement step per provider.
The community trust matters too. OpenRouter has been the default answer to “which gateway do I use?” for long enough that engineers have built up muscle memory: existing routing configs, Discord threads with edge cases worked out, blog posts with worked examples. If you want a gateway that your teammates have already debugged, OpenRouter has the gravity. The same applies in reverse for an LLM coding assistant — when you ask one for sample integration code, it's more likely to give you a working OpenRouter snippet on the first try because more of those snippets exist in the training distribution.
And if you're comfortable in the OpenAI-format world and don't use Anthropic-native tooling — Claude Code, Cline via ANTHROPIC_BASE_URL, anything else that speaks /v1/messages — the format mismatch we describe below is not a problem worth solving for you. Stay where you are. The cost of switching gateways is almost always larger than the marginal feature delta until you hit a real wall.
The clearest fit is Claude Code, Cline, and any other agent or SDK that reads ANTHROPIC_BASE_URL and sends Anthropic-format requests. InferAll exposes /v1/messages in that wire format natively. Point ANTHROPIC_BASE_URL at https://api.inferall.ai and the agent works — no translation proxy, no community shim. The same key can also handle your OpenAI-SDK code at /v1, so a mixed editor stack (Claude Code plus Cursor plus your own scripts) shares one base URL and one bill.
The free tier is the other big one. 100,000 tokens per month against 186 NVIDIA-hosted open-source models is a predictable allowance you can hand to a teammate or a project without setting up billing first. Llama 3.1 405B, Mixtral, Nemotron, CodeLlama are all in that pool. For chatty inner-loop traffic from a coding agent — the kind that burns through tokens on cheap turns — having a budget you don't pay for is the difference between “we'll evaluate next quarter” and “turn it on this afternoon.”
The third reason is structural. InferAll is a single vendor with one DPA, one invoice, and one endpoint to log. OpenRouter is optimized for being a pass-through to many upstream providers, which is a feature in the consumer/hobbyist case and a friction point in environments where procurement teams treat each new upstream as a separate review. The VS Code extension at /extension extends that: a single Anthropic-format endpoint, audit-log scaffolding, and a free first run with no key to copy.
For OpenAI-SDK code, the migration is two environment variables. Swap the key, swap the base URL, ship. The wire formats are identical because both sides speak OpenAI Chat Completions.
For Claude Code or any Anthropic-SDK consumer, you stop emulating and use the Anthropic-format endpoint directly. That removes a moving part: no adapter sitting between your agent and the gateway.
Environment swap
# Before: OpenRouter via the OpenAI SDK
export OPENAI_API_KEY=sk-or-v1-...
export OPENAI_BASE_URL=https://openrouter.ai/api/v1
# After: InferAll via the same OpenAI SDK
export OPENAI_API_KEY=ifa_...
export OPENAI_BASE_URL=https://api.inferall.ai/v1
# Or, if you want Claude Code / Cline (Anthropic-format):
export ANTHROPIC_API_KEY=ifa_...
export ANTHROPIC_BASE_URL=https://api.inferall.ai
claudeOne detail to watch: model IDs. OpenRouter prefixes model names with the upstream provider (for example, anthropic/claude-3.5-sonnet). On InferAll's OpenAI- and Anthropic-compatible surfaces, you pass the model in the upstream's own naming — claude-sonnet-4-20250514 or gpt-4o. On the unified /ai/v1/generate endpoint, the provider goes in its own field. The mechanical change is small but you do need to grep your code for provider-prefixed model strings.
Model ID notes
# Model IDs are unchanged for first-party providers.
# OpenAI: gpt-4o, gpt-4o-mini, o1
# Anthropic: claude-sonnet-4-20250514, claude-opus-4-20250514
# Google: gemini-2.5-pro, gemini-2.5-flash
# NVIDIA (free): meta/llama-3.1-405b-instruct, mistralai/mixtral-8x22b-instruct-v0.1
# OpenRouter prefixes with provider name (e.g. "anthropic/claude-3.5-sonnet").
# On InferAll, pass the model in the provider's own naming and set the
# "provider" field on /ai/v1/generate, or use the OpenAI-format /v1/chat/completions
# with the bare model name on the OpenAI/Anthropic-compatible surfaces.For tool calls, streaming, and vision inputs, both gateways forward the wire-format payloads through to the upstream provider. If your tool-call code worked against OpenRouter, it will work against InferAll on the equivalent endpoint.
If you depend on OpenRouter's per-request models array for client-side fallback, you don't need to port it. InferAll does the cross-provider retry server-side on 429, 529, 5xx, and timeout (30s default). You can still pass a preferred provider; the gateway will route to it first and only fall back if it has to.
The trade-off is worth naming explicitly. OpenRouter's model-list approach gives the caller fine-grained control: “try Sonnet, then a Llama 70B, then Mixtral, in that order.” InferAll's server-side default routes by model class — “serve a Claude-class model, and if Anthropic is rate-limited, route to whatever else can run an equivalent.” That's an opinion. If your fallback choreography is a load-bearing part of your application, the OpenRouter shape gives you the levers; if you want one less thing to maintain, InferAll's default is the cheaper code path.
This page is on inferall.ai and it's about an InferAll competitor, so the bias goes one way by default. We built InferAll because we wanted free open-source inference on a stable roster, one Anthropic-format endpoint that Claude Code could point at, and a single bill — and we couldn't buy exactly that off the shelf. OpenRouter is a real product that solves an adjacent problem well, and for plenty of workloads it's the right answer. If we wrote a comparison that didn't admit that, you'd be right not to trust the rest of the page.
Does InferAll work with the OpenAI SDK like OpenRouter does?
Yes. Set OPENAI_BASE_URL=https://api.inferall.ai/v1 and use your InferAll API key in place of OPENAI_API_KEY. Existing OpenAI SDK code, including streaming and tool calls, works without changes. That is the same integration shape you use with OpenRouter today.
Can I use Claude Code with OpenRouter?
Not natively. Claude Code reads ANTHROPIC_BASE_URL and speaks the Anthropic Messages format. OpenRouter exposes an OpenAI-compatible surface, so Claude Code does not point at it directly without a translation layer. InferAll exposes /v1/messages in Anthropic's format, which is why ANTHROPIC_BASE_URL=https://api.inferall.ai just works for Claude Code and Cline.
What is the OpenRouter equivalent of InferAll's free tier?
OpenRouter offers a set of zero-priced models (typically community-hosted or promotional) with rate caps. InferAll's free tier is 100,000 tokens per month against 186 open-source models hosted on NVIDIA NIM — Llama 3.1 405B, Mixtral, Nemotron, CodeLlama. The shape is different: OpenRouter's free pool changes as community hosts come and go; InferAll's free pool is a fixed token allowance on a stable NVIDIA NIM roster.
Does InferAll have OpenRouter's model selection?
No. OpenRouter's catalog is larger and broader, especially for exotic open-source fine-tunes and smaller specialty providers. InferAll aggregates 255+ models across six providers — OpenAI, Anthropic, Google, NVIDIA NIM, Replicate, and Runway. If your workload depends on a Cohere Command R+ variant or a particular Together-hosted fine-tune, OpenRouter is more likely to have it.
Which has better failover behavior?
OpenRouter accepts a models array in the request body — if the first model fails the request, OpenRouter tries the next one you listed. InferAll's failover is server-side and routes across providers automatically when a provider returns 429, 529, 5xx, or times out (30s default), without you maintaining a per-call fallback list. They solve the same problem at different layers: OpenRouter gives you per-request control; InferAll defaults to an opinionated cross-provider retry.
Is InferAll cheaper than OpenRouter?
For premium tokens, InferAll charges the provider's published per-token price with zero markup. OpenRouter applies a markup per model. For free open-source workloads, InferAll's 100k tokens/month on NVIDIA NIM is a predictable allowance; OpenRouter's free models are subject to community-host availability and per-key caps. Specific cost depends on the model and the month — see /#pricing for InferAll's current rates.
Why would I switch from OpenRouter to InferAll?
Three honest reasons: you live in Claude Code or Cline and want a native Anthropic-format endpoint without an adapter; you want a stable free OSS tier you can hand a team without provisioning tokens; or you specifically want one vendor relationship (one DPA, one bill) instead of OpenRouter's broader pass-through model. If none of those apply, OpenRouter's catalog and community trust are real advantages.
InferAll home — the gateway, the free tier, the failover story.
InferAll for VS Code — Cline-based agent with the gateway pre-wired, free first run.
Pricing — free tier, Pro, Team, Enterprise.
AI inference API — endpoint surface, supported providers, code examples.
Unified AI API — one key, one bill, every provider.
Last updated: 2026-05-13.
OpenRouter facts on this page are drawn from openrouter.ai and its public documentation. InferAll facts are drawn from this site and the gateway running at api.inferall.ai. Specifics change. Have a correction? Email contact@kindly.fyi.