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AI API Free Tiers Compared: What You Can Build for Free

Not ready to commit to paid API access? Every major LLM provider offers some form of free tier — but they vary wildly in what you actually get. Some give you generous daily limits, others offer one-time credits, and a few let you build real products without ever pulling out a credit card.

Here's a comprehensive breakdown of every major free tier in 2026, what you can realistically build with each, and when you'll hit the ceiling.

Free Tier Comparison Table

Provider	Free Model(s)	Free Limit	Rate Limit	Best For
Google (Gemini)	Gemini 2.0 Flash, Gemini 2.5 Pro	Unlimited (with rate limits)	15 RPM / 1M TPM	Prototyping, side projects
OpenAI	GPT-4o mini, GPT-4o	$5 one-time credit	Varies by tier	Testing, small apps
Anthropic	Claude Haiku 4.5, Claude Sonnet 4	$5 one-time credit	Varies by tier	Evaluation, prototyping
Mistral	Mistral Small 4, Mistral Large 3	$5 one-time credit	Varies by tier	Testing, European compliance
Cohere	Command R, Command R+	$5 one-time credit	Varies by tier	RAG, search, classification
Together.ai	Llama 3.1 8B/70B, Mixtral	$5 one-time credit	Varies	Open-source models, experimentation

The winner: Google's Gemini API offers the most generous free tier — effectively unlimited usage with reasonable rate limits. Everyone else gives you a $5 one-time credit that runs out quickly.

Google Gemini: The Best Free Tier

Google's free tier is the clear standout. You get access to both Gemini 2.0 Flash and Gemini 2.5 Pro with generous limits:

• 15 requests per minute — enough for most development and light production use
• 1 million tokens per minute — handles substantial throughput
• No monthly cap — usage doesn't accumulate and expire
• Both Flash and Pro models — test with the budget model, upgrade to Pro for complex tasks

With 15 RPM, you can handle up to ~21,600 requests per day. That's enough for a real product with moderate traffic — not just a prototype.

OpenAI: $5 Credit (Runs Out Fast)

OpenAI gives new accounts a $5 credit. Here's how long it lasts at different usage levels:

With GPT-4o ($2.50/$10 per 1M tokens), the $5 credit lasts even shorter. OpenAI's free tier is really just for evaluation — you'll need to pay within a week of any real usage.

Anthropic: $5 Credit (Similar Story)

Anthropic also offers a $5 starting credit. Claude Haiku 4.5 at $1.00/$5.00 per 1M tokens stretches further than GPT-4o but still runs out quickly:

The credit works across all Claude models, so you can test Haiku, Sonnet, and even Opus — but at Opus pricing ($15/$75), the $5 evaporates in minutes.

Mistral & Cohere: $5 Credits

Both Mistral and Cohere follow the same $5 credit model. The main reasons to use their free tiers:

• Mistral: European data sovereignty, competitive pricing, strong multilingual support
• Cohere: Best-in-class for RAG and semantic search, purpose-built enterprise features

Neither offers a meaningful long-term free tier — these credits are for evaluation only.

Together.ai: $5 for Open-Source Models

Together.ai gives $5 in free credits to access open-source models like Llama 3.1, Mixtral, and others. The pricing is already low (Llama 3.1 8B at $0.18/$0.18 per 1M tokens), so $5 goes further:

Together.ai is the best option if you specifically want to use open-source models without managing your own GPU infrastructure.

What Can You Actually Build for Free?

Truly Free (Google Gemini)

• Production chatbot — 100-500 requests/day, fully functional
• Content generation tool — blog drafts, social posts, product descriptions
• Code review bot — analyze PRs, suggest improvements
• Document Q&A system — internal knowledge base search
• Classification pipeline — categorize support tickets, emails, content

Free for Prototyping (OpenAI/Anthropic/Mistral)

• MVP validation — build and test a concept before committing to paid APIs
• Hackathon projects — $5 is plenty for a weekend hackathon
• Learning and experimentation — explore different models and prompting techniques
• Personal tools — low-usage utilities for yourself

Free Tier Limitations to Watch

Free tiers come with trade-offs beyond just usage limits:

• Rate limits: Google's 15 RPM means you can't handle traffic spikes
• No SLA: Free tiers don't come with uptime guarantees
• Data training: Some providers may use free-tier data for model training (check ToS)
• Feature restrictions: Some advanced features (function calling, system prompts) may be limited
• No priority: Paid users get priority during high-demand periods

When to Upgrade from Free

You should move to a paid plan when:

1. You exceed rate limits — Google's 15 RPM becomes a bottleneck
2. You need reliability — production apps need SLAs and consistent performance
3. You need advanced features — fine-tuning, higher context windows, batch processing
4. Your $5 credit runs out — obvious but worth stating
5. You're making money — if your app generates revenue, invest in reliable API access