Does GLM-4.7-FlashX have a free tier?

GLM-4.7-FlashX is billed per use and the record publishes no free-tier allowance. The current published rates are input $0.0700 per 1M tokens and output $0.4000 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.

How are reasoning tokens billed on GLM-4.7-FlashX?

Reasoning tokens are billed as output on GLM-4.7-FlashX, at $0.4 per 1,000,000 token. They are generated before the visible answer and count toward both latency and spend, so a higher reasoning setting costs more even when the final answer is short.

What should you evaluate before moving production traffic to GLM-4.7-FlashX?

Before switching production traffic to GLM-4.7-FlashX, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

Can you call GLM-4.7-FlashX with the OpenAI SDK you already use?

Yes. GLM-4.7-FlashX is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to glm-4.7-flashx . Keep your current request and response handling.

When was GLM-4.7-FlashX released, and is it still maintained?

GLM-4.7-FlashX was released on 2026-01-19. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

Model detail

GLM-4.7-FlashX

Provided by GLM

Pay-as-you-go

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.

Model specs

Model ID: glm-4.7-flashx

Context length: 200K
Max output: 131.072K
I/O modalities
Released: 2026-01

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$0.0700 /1M Tokens

Completion

$0.4000 /1M Tokens

Cache read

$0.0100 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency.

What should you check before using it?

200,000 context, 131,072 output tokens

GLM model that supports reasoning and tool calling. Knowledge cutoff: 2025-04. Released 2026-01-19.

Why use it through MixRoute?

GLM-4.7-FlashX keeps its 200,000-token context on one route

The full 200,000-token context stays reachable on the same route. MixRoute serves GLM-4.7-FlashX on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID glm-4.7-flashx and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GLM-4.7-FlashX supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

GLM-4.7-FlashX can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

GLM-4.7-FlashX supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

GLM-4.7-FlashX supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

OpenAI SDK

Call GLM-4.7-FlashX through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 200K

Output tokens Max per request 131.072K

Requests / month

Cache hit rate 0%

Share of the same prefix read repeatedly, up to 100%

FAQ

The current model record does not publish a numeric rate limit for GLM-4.7-FlashX. Confirm the quota for your plan in the console, then run a short load test at your expected concurrency to establish the effective ceiling before production.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

glm-4.7-flashx

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs