ModelRefs / Best Long-Context AI Models in 2026
Best Long-Context AI Models in 2026
AI models with 128K+ context windows. Compare retrieval accuracy at length, recall benchmarks, and pricing for long-document workloads.
Overview
Long-context models are evaluated on needle-in-a-haystack recall, document QA, and codebase reasoning. Pricing scales with input tokens, so context efficiency matters.
ModelRefs tracks 37 long context models with a published reference page. Each page states the provider, the capabilities ModelRefs has evidence for, the benchmark results it holds with their dates and sources, and the limitations and coverage gaps that remain.
Models in this category
37 long context models have a published reference page on ModelRefs; the first 24 are listed here.
Listed alphabetically. Category membership means a model is a candidate worth evaluating for this kind of work, not a ranking and not an endorsement — compare the evidence on each page against your own requirements.
- Claude 3 Haiku
- Claude 3 Opus
- Claude 3.5 Haiku
- Claude 3.5 Sonnet
- Claude 3.7 Sonnet
- Claude Opus 4
- Claude Sonnet 4
- Command R
- Command R+
- DeepSeek R1
- DeepSeek V3
- Gemini 1.5 Flash
- Gemini 1.5 Pro
- Gemini 2.0 Flash
- Gemini 2.5 Flash
- Gemini 2.5 Pro
- Gemma 3 27B
- GPT-4.1
- GPT-4.1 Mini
- GPT-4o
- GPT-4o Mini
- GPT-5
- GPT-5 Mini
- Llama 3.1 405B
Other model categories
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Best Long-Context AI Models in 2026.
Frequently asked questions
What counts as a long-context model?
We treat models with at least a 128K-token context window as long-context. Frontier models now reach 1M+ tokens with usable recall.