Available Models

FreeInference exposes an OpenAI-compatible model catalog for coding agents and IDEs. The catalog changes as providers and local deployments change, so the authenticated API is the source of truth for your account:

curl -H "Authorization: Bearer $FREEINFERENCE_API_KEY" \
  https://freeinference.org/v1/models

The response is filtered by access level. A model that is not returned for your key is not available to that account.

Model Overview

Model ID	Access	Context	Max Output	Input	Highlights
`glm-5.1`	Free	200K	128K	Text	Tools, structured output, thinking, tool streaming
`minimax-m2.5`	Free	205K	131K	Text	Tools, structured output, thinking
`minimax-m3`	Free	1M	131K	Text, image, video	Long context, tools, structured output, thinking
`qwen3.6-35b`	Free	262K	8K	Text, image, video	Fast non-thinking model, tools, structured output
`diffusiongemma`	Free	262K	8K	Text	Fast local model, tools, structured output, thinking
`deepseek-v4-flash`	Free	1M	393K	Text	Agentic coding, tools, structured output, reasoning controls
`glm-5.2`	Pro	1M	131K	Text	Tools, structured output, thinking, tool streaming
`glm-5.3`	Pro	1M	131K	Text	Tools, structured output, always-on thinking with `reasoning_effort`, tool streaming
`kimi-k2.7-code`	Pro	262K	131K	Text, image, video	Coding agents, tools, structured output, thinking

All listed models produce text. Context and output limits are deployment limits; an upstream provider may enforce a smaller limit for an individual request.

DeepSeek Upstream Reference Pricing

The following prices are DeepSeek’s upstream API reference rates in U.S. dollars per 1 million tokens. The gateway uses them for cost accounting and route selection; they are not fees charged by FreeInference to users. See the official DeepSeek pricing page for the latest rates.

Since 2026-08-16 16:00 UTC, DeepSeek itself bills at peak and off-peak rates: peak hours are 01:00–04:00 UTC and 06:00–10:00 UTC each day, and off-peak is half the peak rate.

FreeInference does not track that split. The gateway accounts for every DeepSeek call at the peak rate, whatever the hour:

Model	Input (cache hit)	Input (cache miss)	Output
V4 Flash (`deepseek-v4-flash`)	$0.014	$0.44	$1.32
V4 Pro (`deepseek-v4-pro`)	$0.044	$1.32	$3.96

Using the peak rate uniformly means an off-peak call is accounted at twice the rate DeepSeek actually charged for it. These figures drive internal cost accounting and route selection; they are not fees billed to users, so the effect is on quota consumption, not on anything you pay.

The V4 Pro rows document the upstream rate for completeness; they do not add deepseek-v4-pro to the generally available FreeInference catalog. Availability remains determined by the authenticated GET /v1/models response, and administrator-only models remain omitted from the overview.

Embedding Model

Model ID	Access	Context	Input	Output
`bge-m3`	Free	8K	Text	Embedding vector

Use bge-m3 with the OpenAI-compatible /v1/embeddings endpoint for codebase indexing. It is not a chat or completion model.

Choosing a Model

Start with glm-5.1 for general coding and bilingual work.
Use qwen3.6-35b for quick edits and background-agent calls that do not need extended reasoning.
Use minimax-m3 for long-context or multimodal work.
Use deepseek-v4-flash for complex agentic coding and long reasoning chains.
Pro users can choose glm-5.3 for the strongest coding results, glm-5.2 when thinking has to be switchable, or kimi-k2.7-code for coding-agent workflows. glm-5.3 and glm-5.2 share the same 1M context.
glm-5.3 always reasons: it rejects thinking: {"type": "disabled"}. Send reasoning_effort (low, high, max) to control how much it thinks, and stay on glm-5.2 if your client needs thinking fully off.

Access and Retired IDs

Free accounts can use models marked Free. Models marked Pro require a Pro-enabled key. Operational models restricted to administrators or staff are intentionally omitted from the public recommendation list.

Old IDs such as glm-4.7 and minimax-m2.7 are no longer in the production catalog. If a saved IDE configuration uses a retired ID, select one returned by GET /v1/models; otherwise the gateway returns 404 Model not found.

Switching Models

Use the exact model ID from GET /v1/models in your client’s model selector or configuration. In Claude Code, use /model; for provider-specific setup, see the IDE and coding-agent integrations.