MyTechDailyNews Software Check: AllModels Brings DeepSeek and GLM 5.3 Routing to One API
For MyTechDailyNews readers comparing software integration options, AllModels is presented as one routing surface for abliterated model access. Its status display names DeepSeek V4.1 Flash Abliterated and shows p50 — ms and — tok/s, while the live DeepSeek and GLM 5.3 route lists are still loading. The wider catalogue is described as extending beyond these two families.
Data point to watch before testing
The source copy uses a sample model rather than a full benchmark table: DeepSeek V4.1 Flash Abliterated is shown in a p50 status strip with placeholder-style values, — ms and — tok/s. For software evaluation, that means the public description emphasizes metric format and route availability more than a completed performance number.
Steps to call the endpoint through the OpenAI SDK
- Use an environment variable for credentials: JavaScript can read process.env.ALLMODELS_API_KEY, and Python can read os.environ[ALLMODELS_API_KEY].
- Point an OpenAI SDK client at the AllModels base URL https://api.allmodels.io/oai.
- Choose the public model identifier deepseek/deepseek-v4.1-flash-abliterated.
- Send the sample request Open the pod bay doors. as the input value.
- Return response.output_text by logging it in JavaScript or printing it in Python.
Both snippets are described as OpenAI SDK examples, so teams already using OpenAI-style clients can map the call pattern to one endpoint instead of rebuilding the integration each time the market moves.
How DeepSeek and GLM routes are handled
DeepSeek is described as a fast reasoning model available through several independent providers. In the AllModels model, text requests can use eligible text routes in the fallback pool, while image requests are directed only to providers that can actually read images. The live DeepSeek provider routes are presented as loading.
For GLM 5.3, abliterated deployments from multiple providers share one public model ID. Callers can follow the default waterfall, or explicitly choose a provider when a specific price or limit is the priority. The live GLM provider routes are also shown as loading.
The model range is framed as a starting point: more abliterated models and competitive provider routes are expected to enter the catalogue.
Two OpenAI-compatible interfaces at a glance
| Interface | Endpoint | Typical controls |
|---|---|---|
| Chat Completions | POST /oai/chat/completions | messages, streaming, function tools, familiar OpenAI chat schema |
| Responses | POST /oai/responses | input items, streaming events, reasoning controls, structured output, custom tools, hosted web search |
Chat Completions suits teams that want the familiar schema, while Responses is presented as the option for richer input items and newer controls such as web search and reasoning features.
Router-hosted search and automatic fallback
Web search is processed at AllModels rather than delegated to whichever inference provider handles a request. Every model is described as getting the same OpenAI-compatible search calls and URL citations, even if the selected provider does not offer native search. Responses API requests can declare a web_search tool, while Chat Completions requests can set web_search_options with search_context_size medium.
Each request is routed across compatible providers. If one provider becomes unavailable or capacity-constrained, traffic falls back automatically without changing the model ID or application code.
Routing layers that affect compatibility
| Layer | What it changes for the caller |
|---|---|
| Modality | Image and multimodal traffic is restricted to providers that support it; text traffic can use every eligible text route. |
| Capacity | Overloaded or unavailable routes are bypassed in favor of the next eligible route for the same model. |
| Price | Provider pricing is kept current, and eligible lower-cost options can be routed when new inference providers appear. |
Action advice for software teams
- Start with Responses if your workflow needs input items, streaming events, reasoning controls, structured output, custom tools, or hosted web search.
- Use Chat Completions when the integration depends on the familiar messages and function-tools shape.
- Confirm whether the relevant DeepSeek or GLM 5.3 route list has moved from loading to live before treating the call path as production-ready.
- Keep model identifiers in configuration, not provider assumptions, because fallback is described as transparent to the application.
- If cost or limits matter, test explicit provider selection instead of relying only on the default waterfall.
FAQ
Can one model ID be served by multiple providers? Yes. For GLM 5.3, deployments from multiple providers share one public model ID, and fallback can move traffic without changing that ID.
Do I have to abandon OpenAI SDK examples? No. The sample JavaScript and Python snippets use the OpenAI SDK pointed at the AllModels base URL.
Is web search dependent on the inference provider? No. Search is handled at AllModels, and the description promises the same search calls and URL citations across models.
Are the route metrics complete? The sample status line shows p50 — ms and — tok/s, so the provided text does not state finished numeric values.
Common misconceptions
- Assuming image requests can go to any text provider: the description says image requests are sent only to providers that can read them.
- Assuming a fallback requires new application code: the model ID and code are described as staying the same when routes change.
- Assuming the catalogue is limited to DeepSeek and GLM: both are presented as the starting point, with expansion expected.
- Assuming GLM 5.3 always means one provider: abliterated deployments from multiple providers share the public model ID.
For MyTechDailyNews Software readers, the practical takeaway is narrow: AllModels is framed as a single OpenAI-compatible connection to abliterated model routes, with DeepSeek V4.1 Flash Abliterated used to illustrate the status layer and GLM 5.3 used to illustrate shared-provider routing. The main verification steps are live route status, modality handling, search behavior, and whether the p50 metrics are still placeholders.