AI API Pricing Comparison 2026: GPT-5.5, Claude Sonnet, Gemini, DeepSeek & More
AI API pricing has changed more in the last six months than in the previous two years combined. DeepSeek and MiMo have triggered a price war that has slashed costs by up to 200× at the budget tier, while flagship models from OpenAI and Anthropic command premium prices for cutting-edge reasoning. This article breaks down the numbers across 8 providers and 30+ models, with practical cost analysis for real-world workloads.
The State of AI API Pricing in Mid-2026
Three trends define the current market:
- The budget tier has collapsed. Models like DeepSeek V4 Flash and MiMo-V2.5 now cost $0.14 per million input tokens — less than 1% of flagship model pricing.
- Context caching is changing the math.Cached input tokens can cost as little as $0.0028/M, making agent workloads with repetitive context up to 50× cheaper.
- The flagship tier is holding steady.GPT-5.5 Pro at $30/M input and Claude Opus at $15/M show that premium reasoning still commands premium pricing — for now.
For live, up-to-the-minute pricing across all providers, use our real-time pricing tracker, updated every 60 seconds.
Complete Pricing Table (June 2026)
All prices are per million tokens. Input and output pricing shown separately. Cached input pricing shown where available. Data sourced from official provider pages and our live tracker.
| Provider | Model | Input/M | Output/M | Cached/M |
|---|---|---|---|---|
| OpenAI | GPT-5.5 Pro | $30.00 | $120.00 | $15.00 |
| OpenAI | GPT-5.5 | $3.75 | $15.00 | $1.875 |
| OpenAI | GPT-5.5 Mini | $0.15 | $0.60 | $0.075 |
| Anthropic | Claude Opus 4.5 | $15.00 | $75.00 | $3.75 |
| Anthropic | Claude Sonnet 4.5 | $3.00 | $15.00 | $0.30 |
| Anthropic | Claude Haiku 4.5 | $0.80 | $4.00 | $0.08 |
| Gemini 3.0 Pro | $1.25 | $5.00 | $0.3125 | |
| Gemini 3.0 Flash | $0.075 | $0.30 | $0.01875 | |
| DeepSeek | DeepSeek V4 Pro | $0.435 | $1.74 | $0.0435 |
| DeepSeek | DeepSeek V4 Flash | $0.14 | $0.56 | $0.014 |
| xAI | Grok-4 | $2.00 | $8.00 | — |
| xAI | Grok-4 Mini | $0.20 | $0.80 | — |
| Mistral | Mistral Large 3 | $2.00 | $6.00 | — |
| Mistral | Mistral Small 3 | $0.10 | $0.30 | — |
| Meta | Llama 4 405B | $0.90 | $3.60 | — |
| Xiaomi | MiMo-V2.5 | $0.14 | $0.56 | $0.0028 |
Prices as of June 2026. For real-time data, visit flickclaw.com/tracking. Cached pricing uses context caching / prompt caching where offered by the provider.
Cost Analysis by Use Case
Raw prices do not tell the full story. Different workloads consume tokens at dramatically different rates. Here is what real-world usage looks like across three common scenarios.
Use Case 1: Chat Applications
A typical chat application sends ~2K input tokens (conversation history) and generates ~500 output tokens per message. At 10K messages per day:
Recommendation: Use Gemini 3.0 Flash or DeepSeek V4 Flash for chat. Quality is nearly indistinguishable from flagship models for conversational use, but costs are 100-200× lower.
Use Case 2: Coding Agents
Coding agents consume significantly more tokens — 15K input per task (codebase context) and 3K output per task. At 500 agent tasks per day:
Key insight: Context caching transforms agent economics. Without caching, even budget models get expensive with large codebase contexts. With caching, the same workload drops from hundreds of dollars to single digits per day.
Use Case 3: Batch Processing & Data Extraction
Batch workloads — document classification, data extraction from PDFs, content moderation — involve high volume of similar prompts. At 1M documents per month:
Recommendation: For batch processing, use the cheapest model that meets your accuracy requirements. Many batch tasks do not need flagship reasoning — a small model with a well-crafted prompt often matches GPT-5.5 Pro at 1% of the cost.
The Price-Quality Tradeoff
Cheaper is not always better. Here is when to pay for quality:
- Code generation with complex logic: Claude Sonnet or GPT-5.5. Budget models struggle with multi-step algorithms.
- Architectural decisions: Claude Opus or GPT-5.5 Pro. The 69× price premium is justified when getting it wrong costs days of rework.
- Documentation and boilerplate: DeepSeek V4 Flash. Near-flagship quality at 1% of the cost.
- Translation and summarization: Gemini 3.0 Flash. Excellent multilingual performance at budget pricing.
Strategies to Cut Your API Bill
Beyond model selection, several strategies can dramatically reduce costs without sacrificing quality:
- Use context caching aggressively. If your prompts share significant context (system prompts, documentation, codebase context), caching reduces input costs by 80-90%.
- Route tasks by complexity. Simple tasks (summarization, classification) go to budget models. Complex tasks (reasoning, code generation) go to flagship models. This is called model routing.
- Minimize output tokens. Ask for concise responses. Every 1,000 output tokens at GPT-5.5 Pro pricing costs $0.12.
- Batch non-urgent requests. Some providers offer 50% discounts for batch processing with longer turnaround times.
Why Live Tracking Matters
API pricing changes fast. In the last 30 days alone, DeepSeek cut V4 Flash pricing, MiMo introduced context caching at $0.0028/M, and OpenAI adjusted GPT-5.5 Mini pricing to compete. The model that was cheapest last month may not be cheapest today.
Our AI Model Price Tracking leaderboard updates every 60 seconds across all major providers. Bookmark it as your single source of truth for API pricing decisions.
Pair live pricing data with preconfigured FlickClaw agents that are already optimized for cost efficiency. Each agent specifies its recommended model and provider, so you get the best price-performance ratio without manual configuration.