The go-to model when you need a frontier brain and a million-token memory, at a price that won't immediately break your budget.
Complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.
1M token context window — one of the largest available, enabling full codebase or document corpus ingestion
Strong reasoning performance competitive with Claude Sonnet 4.6 and GPT-4.1 on benchmarks like MMLU and HumanEval
Relatively affordable input cost at $1.25/1M tokens for a frontier-class model
Native multimodal support for text, images, audio, and video inputs
Output cost of $10/1M tokens is steep for high-volume generation tasks, making it expensive at scale
See what Google: Gemini 2.5 Pro Preview 05-06 actually costs at your usage level
Based on Google: Gemini 2.5 Pro Preview 05-06 API pricing: $1.25/1M input · $10/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
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4 data points · tracked daily since May 9, 2026
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Gemini 2.5 Pro is Google's flagship reasoning-capable model with a massive 1M token context window, designed for complex analysis, coding, and multimodal tasks. It balances frontier-level intelligence with competitive mid-tier pricing.
Pricing moves, ranking shifts, and capability updates.
Google: Gemini 2.5 Pro Preview 05-06 (Google) is now indexed. The go-to model when you need a frontier brain and a million-token memory, at a price that won't immediately break your budget.
View modelGoogle: Gemini 2.5 Pro Preview 05-06 is best for complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and deliberate speed.
Avoid if you need fast turnaround on high-volume, short-context tasks — Gemini 2.5 Flash or GPT-4.1 Mini will be significantly cheaper and faster.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
Google: Gemini 2.0 Flash is the better pick when response time matters more than maximum depth or premium quality.
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Avoid if you need fast turnaround on high-volume, short-context tasks — Gemini 2.5 Flash or GPT-4.1 Mini will be significantly cheaper and faster.
Still a preview release — API stability and feature completeness lag behind GA flagship models
Slower response latency compared to flash-tier alternatives like Gemini 2.5 Flash
Anthropic's latest generally available Opus model, tuned for frontier coding, AI agents, long-context reasoning, and high-fidelity vision.
Gemini 2.0 Flash is Google's high-speed, cost-efficient multimodal model built for high-volume production workloads, offering a massive 1M token context window at near-throwaway pricing. It supports text, image, audio, and video inputs with strong instruction-following and tool-use capabilities.
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