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
Weaknesses
Output cost of $10/1M tokens is steep for high-volume generation tasks, making it expensive at scale
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
Monthly cost estimate
See what Google: Gemini 2.5 Pro Preview 05-06 actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$1.25
Output cost
$5.00
Total / month
$6.25
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.
Price History
Google: Gemini 2.5 Pro Preview 05-06 pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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Complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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GoogleBalanced
Google: Gemini 2.5 Pro
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.
Verdict
The best Google model for serious, complex work — especially when you need to fit an entire codebase or document corpus into a single prompt.
Quality score
87%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Balanced
Best for deep reasoning over very long documents, complex codebases, or multimodal inputs where context size is a constraint with other models.
Context
1.0M tokens
Pricing shown is for prompts under 200K tokens; inputs over 200K tokens are billed at $2.50/1M input and $15/1M output. Gemini 2.5 Pro includes built-in 'thinking' (reasoning) mode which can increase latency and cost further.
FlagshipLong ContextMultimodalReasoningGoogle
Best for
Deep reasoning over very long documents, complex codebases, or multimodal inputs where context size is a constraint with other models.
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.
Verdict
The best bang-for-buck multimodal workhorse for developers who need speed, scale, and a massive context window.
Quality score
76%
Pricing
$0.10/1M in
$0.40/1M out
Speed
Very fast
Best for high-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
Context
1.0M tokens
Pricing listed is for standard (non-cached) input/output. Context caching is available and can reduce costs significantly for repeated long-context calls. Image and audio inputs are priced separately. Free tier available via Google AI Studio.
BudgetFastLong ContextMultimodalGoogle
Best for
High-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
Gemini 2.5 Flash is Google's fast, cost-efficient multimodal model built for high-throughput tasks requiring a million-token context window at budget pricing. It balances speed and capability across text, code, and vision tasks without the cost of flagship models like Gemini 2.5 Pro.
Verdict
The go-to budget model for long-context and multimodal workloads where speed and scale matter.
Quality score
76%
Pricing
$0.30/1M in
$2.50/1M out
Speed
Very fast
Best for high-volume document processing, summarization, and coding assistance where cost and speed matter more than peak accuracy.
Context
1.0M tokens
Output cost ($2.5/1M) is disproportionately higher than input cost ($0.3/1M), so generation-heavy use cases may see costs add up faster than expected. Thinking/reasoning mode may be available but incurs additional cost.
BudgetFastLong ContextMultimodalGoogle
Best for
High-volume document processing, summarization, and coding assistance where cost and speed matter more than peak accuracy.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Google: Gemini 2.5 Pro Preview 05-06 — added to UseRightAI
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.
What is Google: Gemini 2.5 Pro Preview 05-06 best for?
Google: 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.
When should I avoid Google: Gemini 2.5 Pro Preview 05-06?
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.
What is a cheaper alternative to Google: Gemini 2.5 Pro Preview 05-06?
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.
What is a faster alternative to Google: Gemini 2.5 Pro Preview 05-06?
Google: Gemini 2.0 Flash is the better pick when response time matters more than maximum depth or premium quality.
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