Best Large Context Window LLMs in 2026
As of September 3, 2026, the top model in best large context window llms on the BenchLM leaderboard is Claude Fable 5.1 with a score of 82.6.
Bottom line: A large context window means nothing if the model can't actually use it. Claude Fable 5 and Gemini 3.1 Pro both have 1M+ context and the benchmarks to back it up.
About this ranking
Last verified: September 3, 2026
AI models with the largest context windows (200K+ tokens), ranked by benchmark performance.
Unless noted otherwise, ranking surfaces on this page use BenchLM’s provisional leaderboard lane rather than the stricter sourced-only verified leaderboard.
Claude Fable 5.1 leads this ranking with a score of 82.6, followed by Claude Fable 5 (82.2) and GPT-6 Astra (81.9). The top three are separated by just a few points — any of them would perform well for this use case.
The best open-weight option is Hy4 preview (ranked #6 with a score of 78.5). While proprietary models lead, open-weight options are within striking distance for teams willing to trade a few points of performance for full model control.
This ranking uses provisional overall weighted scores from the active scoring formula. For detailed model profiles, click any model name below. To compare two specific models head-to-head, use the "vs #" links.
What changed
Claude Fable 5 leads large-context models with 1M+ context and the highest overall score.
Gemini 3.1 Pro 1M context with strong reasoning (97) — best non-reasoning large-context model.
GPT-5.4 1.05M context — largest window among the top 3 overall models.
How to choose
Full Rankings (150 models)
Key Takeaways
The top model is Claude Fable 5.1 by Anthropic with a BenchAlign v5 score of 82.6 and Estimated evidence.
The best open-weight model is Hy4 preview at position #6.
150 models are included in this ranking.
Score in Context
What these scores mean
Models are filtered by context window (200K+ tokens) and ranked by overall BenchLM score. A large context window alone is not enough — check long-context benchmark scores for actual retrieval and reasoning quality.
Known limitations
Context window size is self-reported by providers. Actual usable context may be smaller due to edge degradation. Long-context benchmarks test specific patterns — real workloads may differ.
Explore More
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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