Available Models

FreeInference provides access to multiple state-of-the-art LLM models for coding agents and IDEs.

Model Overview

Model ID

Name

Context Length

Max Output

Features

llama-3.3-70b-instruct

Llama 3.3 70B Instruct

131K tokens

8K tokens

Function calling, Structured output

llama-4-scout

Llama 4 Scout

128K tokens

16K tokens

Function calling, Structured output

llama-4-maverick

Llama 4 Maverick

128K tokens

16K tokens

Function calling, Structured output, Multimodal (text+image)

glm-4.5

GLM-4.5

128K tokens

96K tokens

Function calling, Structured output, Bilingual (Chinese/English)

glm-4.5-air

GLM-4.5-Air

128K tokens

96K tokens

Function calling, Structured output, Bilingual (Chinese/English)

glm-4.6

GLM-4.6

200K tokens

128K tokens

Function calling, Structured output, Bilingual (Chinese/English), Thinking mode

deepseek-r1

DeepSeek R1

64K tokens

8K tokens

Function calling, Structured output

qwen3-coder-30b

Qwen3 Coder 30B

32K tokens

8K tokens

Function calling, Structured output

minimax-m2

MiniMax M2

196K tokens

8K tokens

Function calling, Structured output

Model Details

Llama 3.3 70B Instruct

Model ID: llama-3.3-70b-instruct

  • Context length: 131,072 tokens

  • Max output: 8,192 tokens

  • Quantization: bf16

  • Input modalities: text

  • Output modalities: text

  • Function calling: Yes

  • Structured output: Yes

Llama 4 Scout

Model ID: llama-4-scout

  • Context length: 128,000 tokens

  • Max output: 16,384 tokens

  • Quantization: fp8

  • Input modalities: text

  • Output modalities: text

  • Function calling: Yes

  • Structured output: Yes

Llama 4 Maverick

Model ID: llama-4-maverick

  • Context length: 128,000 tokens

  • Max output: 16,384 tokens

  • Quantization: fp8

  • Input modalities: text, image

  • Output modalities: text

  • Function calling: Yes

  • Structured output: Yes

GLM-4.5

Model ID: glm-4.5

  • Context length: 128,000 tokens

  • Max output: 96,000 tokens

  • Quantization: fp8

  • Input modalities: text

  • Output modalities: text

  • Language support: Chinese, English

  • Function calling: Yes

  • Structured output: Yes

GLM-4.5-Air

Model ID: glm-4.5-air

  • Context length: 128,000 tokens

  • Max output: 96,000 tokens

  • Quantization: fp8

  • Input modalities: text

  • Output modalities: text

  • Language support: Chinese, English

  • Function calling: Yes

  • Structured output: Yes

GLM-4.6

Model ID: glm-4.6

  • Context length: 200,000 tokens

  • Max output: 128,000 tokens

  • Quantization: fp8

  • Input modalities: text

  • Output modalities: text

  • Language support: Chinese, English

  • Function calling: Yes

  • Structured output: Yes

  • Thinking mode: Yes

  • Tool streaming: Yes

DeepSeek R1

Model ID: deepseek-r1

  • Context length: 64,000 tokens

  • Max output: 8,000 tokens

  • Quantization: bf16

  • Input modalities: text

  • Output modalities: text

  • Function calling: Yes

  • Structured output: Yes

Qwen3 Coder 30B

Model ID: qwen3-coder-30b

  • Context length: 32,768 tokens

  • Max output: 8,192 tokens

  • Quantization: bf16

  • Input modalities: text

  • Output modalities: text

  • Function calling: Yes

  • Structured output: Yes

MiniMax M2

Model ID: minimax-m2

  • Context length: 196,608 tokens

  • Max output: 8,192 tokens

  • Quantization: bf16

  • Input modalities: text

  • Output modalities: text

  • Function calling: Yes

  • Structured output: Yes

Switching Models

To use different models, change the model name in your IDE configuration:

Cursor: Select from the dropdown in settings

Codex: Edit ~/.codex/config.toml:

model = "glm-4.6"  # Change to any model ID

Roo Code / Kilo Code: Select from the dropdown in extension settings