Cheapest 1M context LLMs
Every LLM with a 1,000,000+ token context window. Ranked by input price per 1M tokens.
Ranked by input price
1M+ context models, cheapest first.
| # | Model | In $/1M | Out $/1M | Type |
|---|---|---|---|---|
| 1 | $-1000000.00 | $-1000000.00 | Closed | |
| 2 | $-1000000.00 | $-1000000.00 | Closed | |
| 3 | $-1000000.00 | $-1000000.00 | Closed | |
| 4 | $0.00 | $0.00 | Closed | |
| 5 | $0.00 | $0.00 | Closed | |
| 6 | $0.00 | $0.00 | OSS | |
| 7 | $0.00 | $0.00 | OSS | |
| 8 | $0.00 | $0.00 | Closed | |
| 9 | $0.00 | $0.00 | OSS | |
| 10 | $0.00 | $0.00 | Closed | |
| 11 | $0.00 | $0.00 | OSS | |
| 12 | $0.07 | $0.26 | OSS | |
| 13 | $0.07 | $0.30 | Closed | |
| 14 | $0.08 | $0.45 | OSS | |
| 15 | $0.08 | $0.17 | OSS | |
| 16 | $0.10 | $0.40 | Closed | |
| 17 | $0.10 | $0.40 | Closed | |
| 18 | $0.10 | $0.40 | Closed | |
| 19 | $0.10 | $0.40 | Closed | |
| 20 | $0.10 | $0.30 | OSS | |
| 21 | $0.10 | $0.28 | OSS | |
| 22 | $0.15 | $0.60 | OSS | |
| 23 | $0.19 | $1.13 | OSS | |
| 24 | $0.20 | $0.97 | OSS | |
| 25 | $0.20 | $0.50 | Closed | |
| 26 | $0.20 | $1.10 | OSS | |
| 27 | $0.22 | $1.80 | OSS | |
| 28 | $0.25 | $1.50 | Closed | |
| 29 | $0.25 | $1.50 | Closed | |
| 30 | $0.26 | $0.78 | OSS | |
| 31 | $0.26 | $0.78 | OSS | |
| 32 | $0.26 | $0.78 | OSS | |
| 33 | $0.26 | $1.56 | OSS | |
| 34 | $0.30 | $2.50 | Closed | |
| 35 | $0.30 | $1.20 | OSS | |
| 36 | $0.30 | $2.50 | Closed | |
| 37 | $0.30 | $1.80 | OSS | |
| 38 | $0.32 | $1.28 | OSS | |
| 39 | $0.33 | $1.95 | OSS | |
| 40 | $0.40 | $1.60 | Closed |
Top 3 cheapest 1M context LLMs
Auto Router delivers a 2.0M context window at $-1000000.00/M input tokens. Suitable for whole-codebase analysis, long legal docs, and book-scale RAG.
Fusion delivers a 1.0M context window at $-1000000.00/M input tokens. Suitable for whole-codebase analysis, long legal docs, and book-scale RAG.
Pareto Code Router delivers a 2.0M context window at $-1000000.00/M input tokens. Suitable for whole-codebase analysis, long legal docs, and book-scale RAG.
The price gap · cheapest vs most expensive
Premium 1M-context models pay for better accuracy at the tail of the window and faster ingestion. For research and one-shot analysis, the cheap end delivers equivalent answers on most prompts.