Open Source Models
Llama, Mistral, DeepSeek, and other open-source AI models
Open-source AI models offer strong performance, often at lower costs. These models are developed by companies and research labs that share their work with the community.
Why Open Source?
Open-source models offer several advantages:
- Lower costs - Often cheaper to run
- Transparency - You can see how they work
- No vendor lock-in - Not tied to one company
- Community improvements - Continuous enhancements
- Self-hosting option - Run on your own infrastructure
Available Open-Source Models
Meta (Llama)
Llama 4 Maverick
| Attribute | Value |
|---|---|
| Best For | Creative tasks, conversations |
| Speed | Fast |
| Cost | 1 credit |
| Context | 128K tokens |
When to use: Creative writing, casual conversations, general tasks.
Llama 4 Scout
| Attribute | Value |
|---|---|
| Best For | General tasks, efficiency |
| Speed | Fast |
| Cost | 1 credit |
| Context | 128K tokens |
When to use: Everyday tasks where cost matters.
Mistral
Mistral Large
| Attribute | Value |
|---|---|
| Best For | Complex reasoning, multilingual |
| Speed | Medium |
| Cost | 5 credits |
| Context | 128K tokens |
When to use: Complex tasks, European languages, reasoning.
Pixtral Large
| Attribute | Value |
|---|---|
| Best For | Vision tasks, images |
| Speed | Medium |
| Cost | 5 credits |
| Context | 128K tokens |
When to use: Analyzing images, visual tasks.
DeepSeek
DeepSeek V3.1
| Attribute | Value |
|---|---|
| Best For | Coding, reasoning |
| Speed | Medium |
| Cost | 5 credits |
| Context | 128K tokens |
When to use: Code generation, logical reasoning, technical tasks.
DeepSeek R1
| Attribute | Value |
|---|---|
| Best For | Explicit reasoning |
| Speed | Slow |
| Cost | 5 credits |
| Context | 128K tokens |
When to use: Math, logic problems, when you want to see step-by-step thinking.
Qwen
Qwen3 Coder
| Attribute | Value |
|---|---|
| Best For | Code generation |
| Speed | Fast |
| Cost | 5 credits |
| Context | 128K tokens |
When to use: Writing code, especially in multiple programming languages.
Qwen3 235B
| Attribute | Value |
|---|---|
| Best For | Complex tasks |
| Speed | Slow |
| Cost | 5 credits |
| Context | 128K tokens |
When to use: Tasks requiring maximum capability from open-source models.
xAI (Grok)
Grok 3
| Attribute | Value |
|---|---|
| Best For | Real-time info, conversations |
| Speed | Fast |
| Cost | 5 credits |
| Context | 128K tokens |
When to use: Current events, conversational tasks.
Grok 4
| Attribute | Value |
|---|---|
| Best For | Advanced tasks |
| Speed | Medium |
| Cost | 20 credits |
| Context | 128K tokens |
When to use: Complex reasoning, important tasks.
GLM (zAI)
GLM 4.5
| Attribute | Value |
|---|---|
| Best For | General tasks |
| Speed | Fast |
| Cost | 1 credit |
| Context | 128K tokens |
When to use: Budget-friendly general use.
Choosing an Open-Source Model
| Task | Best Model |
|---|---|
| Coding | Qwen3 Coder, DeepSeek V3.1 |
| Creative writing | Llama 4 Maverick |
| Reasoning | DeepSeek R1, Qwen3 235B |
| Multilingual | Mistral Large |
| Vision | Pixtral Large |
| General use | Llama 4, GLM 4.5 |
| Provider | Strength |
|---|---|
| Meta (Llama) | Conversational, creative |
| Mistral | European languages, reasoning |
| DeepSeek | Coding, reasoning |
| Qwen | Code, large-scale |
| xAI (Grok) | Current events |
| zAI (GLM) | Cost-effective |
| Budget | Best Models |
|---|---|
| Minimal (1 credit) | Llama 4, GLM 4.5 |
| Standard (5 credits) | DeepSeek, Mistral, Qwen |
| Premium (20 credits) | Grok 4 |
Open Source vs. Proprietary
| Aspect | Open Source | Proprietary (GPT, Claude) |
|---|---|---|
| Cost | Often lower | Higher |
| Quality | Very good | Best |
| Speed | Varies | Optimized |
| Transparency | High | Low |
| Support | Community | Official |
| Updates | Variable | Regular |
When to use open source:
- Cost is a priority
- You want good results without premium pricing
- You value transparency
- Specific strengths match your needs (e.g., DeepSeek for coding)
When to use proprietary:
- Quality is paramount
- You need the latest capabilities
- You want reliable, consistent performance
- Official support matters
Model Highlights
Best for Coding: DeepSeek V3.1 or Qwen3 Coder
Both excel at code generation and understanding. DeepSeek has stronger reasoning, while Qwen3 Coder is specialized for programming.
Example: "Write a Python function to merge two sorted lists"Best for Creative Writing: Llama 4 Maverick
Produces engaging, creative content with good flow and style.
Example: "Write a short story opening about a detective in 1940s Los Angeles"Best for Reasoning: DeepSeek R1
Shows step-by-step thinking, great for math and logic.
Example: "If all bloops are razzies and all razzies are lazzies, are all bloops lazzies?"Best for Budget: GLM 4.5 or Llama 4 Scout
Solid performance at just 1 credit per message.
Common Questions
Next Steps
- Compare with OpenAI models
- Configure model settings
- Learn about credits
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