Long-Context AI Models Compared
Which model handles million-token inputs best? Gemini 2.5 Pro, Gemini 1.5 Pro (2M), and Claude Opus 4 on long-document recall and price.
Comparing 4 models · Prices last verified
Verdict
For raw context size, Gemini 1.5 Pro (2M tokens) is unmatched. For best 1M-token recall and reasoning combined, Gemini 2.5 Pro wins. Claude Opus 4 maxes out at 200K but tends to use long context more reliably token-for-token. Gemini 2.5 Flash is the cost-effective long-context default.
Pricing Comparison
| Model | Provider | Input / 1M | Output / 1M | Context | Tier |
|---|---|---|---|---|---|
| Gemini 2.5 Pro | $1.25 | $10.00 | 1M | flagship | |
| Gemini 1.5 Pro | $1.25 | $5.00 | 2M | flagship | |
| Gemini 2.5 Flash | $0.300 | $2.50 | 1M | balanced | |
| Claude Opus 4 | Anthropic | $15.00 | $75.00 | 200K | flagship |
Model Breakdown
$1.25
per 1M input
Gemini 2.5 Pro is Google's most capable model, featuring a massive 1M token context window — the largest of any major model. It's particularly strong on reasoning, code, and tasks requiring long document understanding.
$1.25
per 1M input
Gemini 1.5 Pro is the previous-generation Google flagship — famous for its 2M token context window. Still useful for extreme long-context jobs but outclassed by 2.5 Pro on most benchmarks.
$0.300
per 1M input
Gemini 2.5 Flash is the mid-tier 2.5-generation model — markedly faster than Pro while keeping the full 1M context window. The default choice when you want long context cheaply.
Anthropic
$15.00
per 1M input
Claude Opus 4 is Anthropic's most powerful model — built for complex reasoning, long-form analysis, and tasks that require deep context understanding. It excels at nuanced writing, research synthesis, and multi-step problem solving.
Our Verdict
For raw context size, Gemini 1.5 Pro (2M tokens) is unmatched. For best 1M-token recall and reasoning combined, Gemini 2.5 Pro wins. Claude Opus 4 maxes out at 200K but tends to use long context more reliably token-for-token. Gemini 2.5 Flash is the cost-effective long-context default.
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