Long context models, ranked
A long context buys you the option to skip retrieval altogether and hand the model the whole document. The cost grows linearly with what you send, so if most of the prompt repeats between calls, pick a model with cheap cached input — that one column changes the monthly bill more than the model choice does.
Most used in this category
Each model's share of this category's usage over the last 30 days, and its output price per 1M tokens in toman.
- 1
Gemini 3.8 Flash50% share1,298,323 toman - 2Gemini 2.5 Flash Lite30% share138,488 toman
- 3Gemini 3.1 Flash Lite5.7% share519,329 toman
- 4Claude Sonnet 54.7% share3,462,194 toman
- 5Gemini 2.5 Flash4.1% share865,548 toman
Best value in this category
Score out of 100: 50% cheapness, 30% capabilities, 20% context size — not a quality benchmark.
| # | Model | Context (tokens) | ≈ 1,000 words (toman) | Score |
|---|---|---|---|---|
| 1 | 1GLM Flash Latest | 1,048,576 | 54 | 88.9 |
| 2 | 2Qwen3.7 Flash | 1,000,000 | 72 | 85.6 |
| 3 | 3GPT-6 Luna Pro (batch) | 1,050,000 | 135 | 84.9 |
| 4 | 4GPT-6 Luna (batch) | 1,050,000 | 135 | 84.9 |
| 5 | 5Claude Haiku 5.5 (batch) | 1,000,000 | 135 | 84.8 |
| 6 | 6GPT-5 Nano (batch) | 400,000 | 101 | 84.7 |
| 7 | 7Ling 3.0 Tiny | 262,144 | 27 | 82.4 |
| 8 | 8Ling 3.0 Flash | 262,144 | 38 | 81.9 |
| 9 | 9GLM 5.3 Flash (batch) | 1,048,576 | 104 | 81.7 |
| 10 | 10Gemma 4 26B A4B | 262,144 | 67 | 81.7 |
| 11 | 11Extract | 1,000,000 | 18 | 81.1 |
| 12 | 12Summarize | 1,000,000 | 18 | 81.1 |
| 13 | 13Gemini 2.5 Flash Lite | 1,048,576 | 225 | 79.4 |
| 14 | 14Qwen3.5-Flash | 1,000,000 | 146 | 77.9 |
| 15 | 15Ternary Bonsai 2 9B | 262,144 | 95 | 77.9 |
Full list of long-context models for documents and codebases with prices →