Choose the best-value LLM API
TinySet compares LLM API prices and context windows. TinyResearch weighs price against quality.
TinySet
Dataset · 105 rowsMajor LLM APIs, with input and output price per million tokens and context window
| Model name | Provider | Input price per 1M tokens (USD) | Output price per 1M tokens (USD) |
|---|---|---|---|
| Jamba Large 1.7 | AI21 Labs | 2 | 8 |
| Jamba Mini 1.7 | AI21 Labs | 0.2 | 0.4 |
| qwen-flash | Alibaba Cloud | 0.05 | 0.4 |
| qwen-max | Alibaba Cloud | 1.6 | 6.4 |
| qwen3-coder-flash | Alibaba Cloud | 0.3 | 1.5 |
| qwen3-omni-flash | Alibaba Cloud | 0.43 | 1.66 |
| qwen3-vl-plus | Alibaba Cloud | 0.2 | 1.6 |
| qwen3.5-122b-a10b | Alibaba Cloud | 0.4 | 3.2 |
TinyResearch
ReportWhich LLM API gives the best value for money today? Weigh price against quality and context window.
The LLM API market in October 2026 is sharply bifurcated: a cheap tier ($0.10–$0.75/M input tokens) that now delivers capability matching premium models of 18 months ago, and a frontier tier ($4–$10/M input) for the highest-stakes agentic and reasoning work. The single most important finding is that the efficiency frontier has moved decisively: GPT-6.1 Sol at $2/$10 scores 51.8 on the Artificial Analysis Intelligence Index and Claude Sonnet 5.5 at $2/$10 scores 47–56 depending on effort level, while Claude Haiku 5.5 and GPT-6 Luna deliver scores of roughly 28–43 at just $0.10/$0.50—a price point that was frontier-model territory less than two years ago.
