Groq is a serving provider for its hosted catalog, while OpenRouter routes requests across supported providers and models. Decide whether you need a direct serving relationship or a routing layer before comparing an apparently identical model name.
Side by side
This table compares each provider’s lowest documented baseline input-price model. Baseline prices use standard or short-context conditions and exclude separate free-tier and off-peak rows when paid standard rates exist. The full pricing reference preserves all documented conditions.
| Attribute | Safety GPT OSS 20B | inclusionAI: Ling 3.0 Flash VL (free) |
|---|---|---|
| Provider | Groq | OpenRouter |
| Official identifier | openai/gpt-oss-safeguard-20b | inclusionai/ling-3.0-flash-vl:free |
| Input USD / 1M | $0.075 | Free |
| Output USD / 1M | $0.3 | Free |
| Cached input USD / 1M | Not documented | Not documented |
| Context tokens | 131,072 | 262,144 |
| Maximum output tokens | 65,536 | 32,768 |
| Modalities | text | text, image, video |
| OpenAI-compatible endpoint | Yes | Yes |
| SDK languages | Python, JavaScript, TypeScript | Python, JavaScript |
| Reference | Safety GPT OSS 20B | inclusionAI: Ling 3.0 Flash VL (free) |
Last verified · Source ↗
Read the source and pricing condition beside a value before comparing it. The table describes published records; it does not establish which model will perform best on your task.
Pricing differences
Groq publishes prices for its supported serving options. OpenRouter’s routing decisions can select among endpoints with different prices and conditions for the requested model. Official documentation.
OpenRouter provider selection supports routing preferences. Record the actual endpoint used when reconciling an estimate with a response. Official documentation.
Compare the complete route, not only the upstream family. The same model lineage can be offered through different serving conditions. Keep provider selection, cache behavior and any platform charges with the workload estimate.
Groq pricing and OpenRouter pricing explain the full charge categories. Use the cost calculator with the same observed workload for both.
Limits and free tiers
Groq’s Free and Developer plans describe different access and feature conditions. Check organization capacity rather than assume a key gives unlimited service. Official documentation.
OpenRouter free variants have their own restrictions. A free model route should be evaluated under those terms and its current availability. Official documentation.
Use separate queues and diagnostics for a direct-provider limit and a routing failure. A fallback policy can improve continuity only if the alternatives are permitted, affordable and capable of completing the same task. It is not an exemption from capacity constraints.
Models and modalities
Groq’s catalog tells you which models and systems it currently serves. OpenRouter’s catalog describes a broader set of routed offerings. Breadth is valuable for evaluation and fallback, while a fixed serving choice can make an operating contract easier to trace.
Provider fallback and model fallback are distinct OpenRouter concepts. A provider change can keep the model choice, while a model fallback changes the requested model itself. Official documentation.
Keep that distinction in evaluation logs. A successful answer after a fallback may come from a different model, so it cannot be used as evidence that the original model completed the task.
Developer experience (SDKs, compatibility, docs)
Groq supports an OpenAI-compatible path and documents unsupported fields. Validate the exact payload rather than assume every client option passes through. Official documentation.
OpenRouter can restrict routing to endpoints that support requested parameters. Its require_parameters option is useful when silent feature loss would invalidate a task. Official documentation.
OpenRouter errors can also be represented inside a response body or stream. Inspect the documented error shape instead of treating every successful HTTP connection as a completed model answer. Official documentation.
Which to pick for … (3 scenarios)
A fixed model in production. Choose direct Groq when its documented serving contract and measured results fit the application and you want that route explicitly controlled. Compare the same route through OpenRouter only with its actual conditions recorded.
A model evaluation platform. Consider OpenRouter when broad model access and configurable routes are required. Keep each tested provider, model and payload option in the result record so comparisons remain reproducible.
An application needing fallback. Define allowed alternatives and their budgets in advance. Use routing only when each fallback preserves required capabilities, and expose when a different model produced the result.
Choose with a saved evaluation set and an explicit operating budget. Groq setup and reference and OpenRouter setup and reference link the first-request steps.
Last verified · Source ↗
Frequently asked questions
Does OpenRouter always serve the model itself?
Is provider fallback the same as model fallback?
Can I assume identical behavior from the same upstream family?
Can a successful HTTP status still contain an error?
How should a fallback be approved by an application?
Sources
- Gr Price documentation ↗
- Gr Free documentation ↗
- Gr Compat documentation ↗
- Gr Limit documentation ↗
- Or Api documentation ↗
- Or Route documentation ↗
- Or Fallback documentation ↗
- Or Free documentation ↗
- Or Errors documentation ↗
Last verified · Source ↗