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Together AI: Open-Source Model Inference Platform
Together AI hosts over 200 open-source AI models behind a unified API - including Llama, Mistral, DeepSeek, Qwen, Gemma, and dozens of others. For teams that want open-source flexibility without managing GPU infrastructure, Together is one of the best options in 2026.
This guide covers Together AI s pricing, free credits, supported models, and how to extend your inference budget with discounted credits via AI Credits.
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Together AI Pricing Tiers
Together prices by model and parameter count. Examples:
| Model Class | Example Model | Input/Output (per MTok) |
|---|---|---|
| Tiny (3B) | Llama 3.2 3B | $0.06/$0.06 |
| Small (8B) | Llama 3.3 8B | $0.18/$0.18 |
| Medium (70B) | Llama 3.3 70B | $0.88/$0.88 |
| Large (405B) | Llama 3.1 405B | $3.50/$3.50 |
| Mixtral 8x22B | $1.20/$1.20 | |
| DeepSeek V3 | $0.27/$1.10 |
Notable feature: Most Together models have identical input/output pricing, unlike OpenAI/Anthropic where output is 5x more expensive than input.
Buy verified OpenAI, Anthropic, Gemini, AWS, Azure & GCP credits at discounted prices.
What Makes Together AI Different
Open-Source Model Variety
Access to 200+ open-source models in one API:
- Llama family (3.1, 3.2, 3.3 across sizes)
- Mistral models (Mixtral, Mistral 7B variants)
- DeepSeek (V3, R1, Coder)
- Qwen (2.5 family)
- Gemma (2 family)
- Code-specific (DeepSeek Coder, CodeLlama)
- Specialty (function calling, vision, etc.)
Identical Input/Output Pricing
Unlike OpenAI ($1.25 input / $10 output for GPT-5), Together typically charges the same for input and output. Massive savings on output-heavy workloads.
Fine-Tuning Available
Together supports fine-tuning open-source models with your data. Cheaper than OpenAI fine-tuning and you own the resulting weights.
Inference Optimization
Together uses optimized GPU infrastructure to deliver fast inference on open-source models - sometimes faster than the original creators host them.
Together AI Free Credits
Together offers free credits in several ways:
New User Bonus
- $1-$25 in starter credits for new accounts (varies by promotion)
- Enough to test the API extensively
Promotional Credits
- Occasional grants for specific model launches
- Hackathon and conference giveaways
Startup Program
- Limited startup credit program
- Application required
For substantial usage beyond free credits, buy discounted credits via AI Credits.
When to Use Together AI
Use Together when:
- You want open-source models without infrastructure
- Cost matters and you re willing to use Llama/Mistral instead of GPT/Claude
- You need fine-tuning with model ownership
- You want maximum model variety
Use OpenAI/Anthropic when:
- You need the absolute best closed-source models (GPT-5, Claude Opus)
- Coding quality is paramount (Claude Sonnet 4.6)
- You need OpenAI-specific features
Combine both:
- Use Together for high-volume, cost-sensitive workloads
- Use Claude/GPT for quality-critical tasks
- Buy both at discount through AI Credits
Cost Comparison: Together vs Closed-Source
For 100M tokens/month general workloads:
| Provider | Model | Monthly Cost |
|---|---|---|
| OpenAI | GPT-5 | $1,125 |
| Anthropic | Claude Sonnet 4.6 | $1,800 |
| Together | Llama 3.3 70B | $176 |
| Together | DeepSeek V3 | ~$70 |
For high-volume workloads where Llama 3.3 70B quality is sufficient, Together delivers 6-10x cost savings vs closed-source alternatives.
Frequently Asked Questions
How much does Together AI cost?
Together prices by model. Llama 3.3 70B costs ~$0.88 per MTok input/output. Mixtral 8x22B is $1.20. DeepSeek V3 is $0.27/$1.10. All available at discount via AI Credits.
Is Together AI cheaper than OpenAI?
Yes for equivalent open-source models. Llama 3.3 70B on Together is dramatically cheaper than GPT-5 for similar capability on many tasks.
Are there free Together AI credits?
Yes through new user starter bonuses ($1-$25) and occasional promotional grants. For more substantial usage, buy discounted credits via AI Credits.
What models does Together AI host?
200+ open-source models including Llama, Mistral, DeepSeek, Qwen, Gemma, Mixtral, and many code-specific variants.
Can I fine-tune models on Together AI?
Yes. Together supports fine-tuning with your data and you keep the resulting model weights. Cheaper than OpenAI fine-tuning.
Should I use Together AI or direct providers?
Use Together for open-source models and cost savings. Use direct providers (OpenAI, Anthropic) for closed-source flagship models. Combine both with discounted credits via AI Credits.
Together AI + Discounted Credits = Cheap Inference
Together is already one of the cheapest AI inference platforms. With discounted credits via AI Credits, it gets even cheaper.
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