The LLM market has changed dramatically in 2026. What cost $15 per million tokens a year ago now costs $0.10. Gemini Flash Thinking delivers reasoning comparable to OpenAI o1 at 200× lower cost. Choosing the wrong model can mean paying 50-100× more than necessary. This guide compares every major LLM on price, performance and the right use case for each.
2026 LLM Pricing — Complete Table
| Model | Provider | Input $/M | Output $/M | Context | Best For |
|---|---|---|---|---|---|
| Phi-4 | Azure AI Foundry | $0.013 | $0.013 | 16K | Classification, extraction |
| Gemini 2.0 Flash Thinking | Vertex AI | $0.075 | $0.30 | 1M | Complex reasoning |
| Gemini 2.0 Flash | Vertex AI | $0.10 | $0.40 | 1M | General tasks, multimodal |
| GPT-4o Mini | Azure OpenAI | $0.15 | $0.60 | 128K | Simple tasks, high volume |
| Claude Haiku | Bedrock / Direct | $0.25 | $1.25 | 200K | Fast, simple tasks |
| Llama 3.3 70B (OCI) | OCI GenAI | $0.45 | $0.45 | 128K | OCI-native, open source |
| Gemini 2.0 Pro | Vertex AI | $1.25 | $5.00 | 1M | Long-context, analysis |
| GPT-4o | Azure OpenAI | $2.50 | $10.00 | 128K | Complex, multimodal |
| Claude Sonnet | Bedrock / Direct | $3.00 | $15.00 | 200K | Complex reasoning, code |
| OpenAI o1 | Azure OpenAI | $15.00 | $60.00 | 128K | Advanced reasoning only |
The Model Tiering Strategy — Save 65-70%
The biggest AI cost reduction available is model tiering — routing different types of tasks to appropriately priced models. Most organisations default everything to GPT-4o or Claude Sonnet, which is like using a Ferrari for every grocery run.
Recommended tiering:
- Phi-4 ($0.013/M): Email classification, sentiment analysis, yes/no questions, simple data extraction from structured text
- Gemini Flash ($0.10/M): Short summarisation, chat responses, translation, basic Q&A, RAG retrieval
- Gemini Pro / GPT-4o ($1.25-2.50/M): Complex document analysis, nuanced reasoning, long-context tasks
- Claude Sonnet ($3/M): Code generation and review, complex multi-step reasoning, detailed analysis
- o1 ($15/M): Only when mathematical proof-level reasoning is required — rarely needed in enterprise applications
At 10 billion tokens/month with this tiering: approximately $2,500/month. Same volume on GPT-4o only: $31,250/month. Saving: $28,750/month.
Gemini Flash Thinking — The 2026 Breakthrough
Released in January 2026, Gemini Flash Thinking delivers reasoning quality comparable to OpenAI o1 at $0.075/M input tokens — 200× cheaper than o1's $15/M. For code review, mathematical analysis, structured data reasoning and complex Q&A, Flash Thinking matches or exceeds o1 quality for most enterprise tasks. This single model has made dedicated reasoning model pricing look obsolete for all but the most demanding applications.
How to Use the AI Cost Estimator
Use TCOIQ's AI Cost Estimator to model your exact usage volume across all providers and see your optimal model mix. Enter your monthly active users, queries per user, and average prompt length — it calculates total cost across every major LLM and shows your top 3 cost-saving recommendations.