Updated Jun 6, 2026
llmleaderboard.in
Largest Context Window LLM in 2026
Maximum tokens per request — critical for long documents, full codebases, and agent traces. Effective usable context may be lower than advertised.
Llama 4 Scout advertises 10M tokens — the largest on our leaderboard. Gemini 3 Pro offers 2M; many GPT-5 and Claude variants support 1M tokens for enterprise RAG and repo-wide analysis.
| # | Model | Provider | Context | GPQA | Cost |
|---|---|---|---|---|---|
| 1 | Llama 4 Scout | Meta | 10M | 76.5% | Open |
| 2 | Gemini 3 Pro | 2M | 92.1% | $3.5 / $10.5 | |
| 3 | Claude Mythos Preview | Anthropic | 1M | 94.6% | Limited |
| 4 | Claude Opus 4.8 | Anthropic | 1M | 94.4% | $6 / $30 |
| 5 | Claude Opus 4.6 | Anthropic | 1M | 91.2% | $5 / $25 |
| 6 | Claude Sonnet 4.6 | Anthropic | 1M | 88.5% | $3 / $15 |
| 7 | GPT-5.5 | OpenAI | 1M | 93.6% | $5 / $30 |
| 8 | GPT-5.5 Pro | OpenAI | 1M | 94.2% | $30 / $180 |
| 9 | MAI-Image-2.5 | Microsoft | 1M | — | $5 / $47 |
| 10 | MAI-Image-2.5-Flash | Microsoft | 1M | — | $1.75 / $19.50 |
| 11 | GPT-5.4 | OpenAI | 1M | 92.8% | $5 / $30 |
| 12 | GPT-5.4 Pro | OpenAI | 1M | 94.5% | $30 / $180 |
When context size matters
Large context helps ingest entire PDFs, monorepos, or long chat histories in one shot. For many apps, RAG with a smaller window plus retrieval is cheaper and more reliable than stuffing everything into the prompt.
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