AI API Pricing Comparison 2026: Every Major Provider
A comprehensive comparison of AI API pricing across Google Gemini, Anthropic Claude, OpenAI, Mistral, and Meta Llama. This page covers 14 models, shows real cost calculations, and gives honest recommendations for every use case and budget.
Master Pricing Table
All prices per 1 million tokens (MTok). Sorted by provider. Llama models are free to download but require your own GPU infrastructure.
| Provider | Model | Input / MTok | Output / MTok | Context | Free Tier |
|---|---|---|---|---|---|
| Gemini 2.5 Pro | $1.25 | $10.00 | 1M | Yes | |
| Gemini 2.5 Flash | $0.15 | $0.60 | 1M | Yes | |
| Gemini 2.0 Flash | $0.10 | $0.40 | 1M | Yes | |
| Anthropic | Claude Opus 4 | $15.00 | $75.00 | 200K | No |
| Anthropic | Claude Sonnet 4 | $3.00 | $15.00 | 200K | No |
| Anthropic | Claude Haiku 3.5 | $0.80 | $4.00 | 200K | No |
| OpenAI | GPT-4o | $2.50 | $10.00 | 128K | No |
| OpenAI | GPT-4o mini | $0.15 | $0.60 | 128K | No |
| OpenAI | o1 | $15.00 | $60.00 | 200K | No |
| OpenAI | o3-mini | $1.10 | $4.40 | 200K | No |
| Mistral | Mistral Large | $2.00 | $6.00 | 128K | No |
| Mistral | Mistral Small | $0.10 | $0.30 | 32K | No |
| Meta | Llama 3.1 405B* | Free* | Free* | 128K | Yes |
| Meta | Llama 3.1 70B* | Free* | Free* | 128K | Yes |
*Llama models are open-weight. Download is free, but you pay for compute infrastructure (GPU hosting). Gemini prices shown for prompts under 200K tokens. Prices verified March 2026.
Best For... Recommendations
Best Overall Value
Gemini 2.5 Flash
At $0.15/$0.60 per MTok with a 1M context window and free tier, it delivers the best balance of price, capability, and context size. Matches GPT-4o mini on price but adds 8x the context.
Best for Free/Budget
Gemini 2.0 Flash
The cheapest hosted API at $0.10/$0.40 with a generous free tier of 1,500 requests/day. For prototyping and personal projects, you may never need to pay at all.
Best for Coding
Claude Sonnet 4
Widely regarded as the best model for code generation, debugging, and refactoring. At $3/$15, it is more expensive than Gemini 2.5 Pro but produces cleaner code with fewer iterations.
Best for Enterprise
GPT-4o (via Azure) or Gemini (via Vertex AI)
Choose based on your cloud provider. Azure shops get enterprise SLAs with OpenAI. Google Cloud shops get Vertex AI with the same Gemini models. Both offer data residency, private endpoints, and compliance certifications.
Best for Data Privacy
Llama 3.1 (self-hosted)
If data cannot leave your infrastructure, Llama 3.1 is the best open model. The 70B version runs on a single high-end GPU. The 405B version needs multi-GPU setups. Free weights, full control.
Best European Option
Mistral Large
Built by a French company with EU data residency by default. At $2/$6 per MTok, it is competitively priced. Mistral Small at $0.10/$0.30 is one of the cheapest models available.
Same-Workload Cost Comparison
Monthly cost for the same workload across all hosted models: 1,000 requests/day, 4,000 input tokens + 1,000 output tokens per request, 30 days.
| Model | Provider | Monthly Cost | vs Cheapest |
|---|---|---|---|
| Mistral SmallCheapest | Mistral | $21.00 | baseline |
| Gemini 2.0 Flash | $24.00 | 1.1x | |
| Gemini 2.5 Flash | $36.00 | 1.7x | |
| GPT-4o mini | OpenAI | $36.00 | 1.7x |
| Claude Haiku 3.5 | Anthropic | $216.00 | 10.3x |
| o3-mini | OpenAI | $264.00 | 12.6x |
| Mistral Large | Mistral | $420.00 | 20.0x |
| Gemini 2.5 Pro | $450.00 | 21.4x | |
| GPT-4o | OpenAI | $600.00 | 28.6x |
| Claude Sonnet 4 | Anthropic | $810.00 | 38.6x |
| o1 | OpenAI | $3600.00 | 171.4x |
| Claude Opus 4 | Anthropic | $4050.00 | 192.9x |
Llama models excluded (self-hosted compute costs vary). Workload: 4K input + 1K output tokens, 1,000 req/day, 30 days.
Honest Assessment
Where Gemini Leads
Gemini offers the best combination of price and context window in the market. It is the only major provider with a meaningful free tier. For teams that need to process very long documents (legal, academic, entire codebases), the 1M token context window is unmatched. At the budget tier, Gemini 2.0 Flash is the cheapest hosted option available, and 2.5 Flash matches GPT-4o mini on price while offering 8x more context. If cost efficiency is your primary concern, Gemini is the clear leader.
Where Gemini Falls Short
Gemini is not the best at everything. Claude consistently outperforms Gemini on coding tasks and nuanced instruction following. OpenAI has a more mature enterprise ecosystem, a larger plugin marketplace, and the o3-mini model offers cheaper output for reasoning tasks ($4.40/MTok vs Gemini 2.5 Pro's $10.00/MTok). For teams that need the absolute best code generation or complex reasoning at the output level, paying more for Claude or OpenAI can be worth it. Gemini's context pricing tiers (higher rates over 200K tokens) can also narrow the gap for very long prompts.
The Multi-Provider Strategy
Many production systems use multiple providers. A common pattern: Gemini 2.5 Flash or 2.0 Flash for high-volume, cost-sensitive tasks (classification, routing, simple Q&A). Claude Sonnet 4 for coding and content that requires the highest quality. GPT-4o for tasks where the OpenAI ecosystem integration matters. This approach lets you optimise cost per task rather than committing to a single provider. All three providers have compatible API formats that make multi-model architectures straightforward.
Understanding the Price Spectrum
Gemini only. Up to 1,500 Flash requests/day and 25 Pro requests/day. Sufficient for personal projects, prototyping, and low-traffic applications. No other major provider offers this.
Gemini 2.0 Flash, 2.5 Flash, Mistral Small, GPT-4o mini, Claude Haiku 3.5. High-volume workloads: classification, routing, summarisation, simple chat. Gemini and Mistral Small are cheapest. Claude Haiku is the most expensive in this tier.
Gemini 2.5 Pro, GPT-4o, Claude Sonnet 4, Mistral Large. Production workloads requiring strong general intelligence. Gemini 2.5 Pro is cheapest on input. GPT-4o and Gemini tie on output. Claude Sonnet 4 is most expensive but leads on code quality.
Claude Opus 4 and OpenAI o1. Complex reasoning, research, and tasks where quality justifies 10-100x the cost. Only use these when cheaper models demonstrably fail at the task. Opus 4 at $75/MTok output is the most expensive API option available.
Frequently Asked Questions
What is the cheapest AI API in 2026?
Among hosted APIs, Google Gemini 2.0 Flash is the cheapest at $0.10/$0.40 per million tokens, with Mistral Small close behind at $0.10/$0.30. Gemini also has a free tier that lets you make up to 1,500 requests per day at zero cost. For self-hosted options, Meta Llama 3.1 is free to download, but you pay for GPU compute infrastructure.
Which AI API has the best free tier?
Google Gemini, by a wide margin. Every Gemini model is available free in Google AI Studio with rate limits: 1,500 requests/day for Flash models and 25/day for 2.5 Pro. You get the full 1M token context window on free tier. No other major provider (OpenAI, Anthropic, Mistral) offers comparable free API access.
Which AI API is best for coding?
Claude Sonnet 4 and Opus 4 from Anthropic are widely considered the best for coding. They outperform competitors on code generation, debugging, and multi-file refactoring benchmarks. Gemini 2.5 Pro is competitive and significantly cheaper ($1.25/$10 vs $3/$15). For budget coding, Gemini 2.5 Flash at $0.15/$0.60 offers reasonable code quality at very low cost.
How do AI API prices compare across providers?
At the flagship level, Gemini 2.5 Pro ($1.25/$10) is cheapest, followed by Mistral Large ($2/$6), GPT-4o ($2.50/$10), and Claude Sonnet 4 ($3/$15). At the budget level, Gemini 2.0 Flash ($0.10/$0.40) and Mistral Small ($0.10/$0.30) are cheapest, followed by Gemini 2.5 Flash and GPT-4o mini (both $0.15/$0.60), with Claude Haiku 3.5 ($0.80/$4) being the most expensive budget option. Premium reasoning models (Opus 4, o1) start at $15 input and $60+ output.
Should I use a hosted API or self-host an open model?
Use hosted APIs if you want zero infrastructure management, automatic scaling, and access to the latest models. This is the right choice for most startups and small-to-mid teams. Self-host Llama or Mistral if you need complete data control, have predictable high-volume traffic that justifies GPU costs, or want to fine-tune models. The breakeven point is typically around 100,000+ requests per day, at which point GPU hosting can become cheaper than API calls.