The best Google model for serious, complex work — especially when you need to fit an entire codebase or document corpus into a single prompt.
92
Coding
78
Writing
91
Research
72
Images
52
Value
97
Long Context
Use this when
Deep reasoning over very long documents, complex codebases, or multimodal inputs where context size is a constraint with other models.
Strengths
Industry-leading 1M token context window — surpasses Claude Sonnet 4.6 and GPT-4o in raw context capacity
Strong coding and multi-step reasoning benchmarks, competitive with o3-mini on structured problem-solving
Genuinely multimodal: handles text, images, audio, and video natively in a single call
Relatively affordable for a frontier-class model at $1.25/$10 per 1M tokens compared to GPT-4o's higher output costs
Weaknesses
Output cost of $10/1M tokens gets expensive fast for high-volume generation tasks
Monthly cost estimate
See what Google: Gemini 2.5 Pro 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 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 pricing over time
→0% since May 9
4 data points · tracked daily since May 9, 2026
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Deep reasoning over very long documents, complex codebases, or multimodal inputs where context size is a constraint with other models.. 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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Similar models worth checking before you commit.
GoogleBalanced
Google: Gemini 2.5 Pro Preview 05-06
Gemini 2.5 Pro Preview 05-06 is Google's latest frontier reasoning model featuring a massive 1M token context window and strong multimodal capabilities. It targets developers and researchers needing deep analytical power with competitive pricing relative to its capability tier.
Verdict
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.
Quality score
86%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Change history
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Google: Gemini 2.5 Pro — added to UseRightAI
Google: Gemini 2.5 Pro (Google) is now indexed. The best Google model for serious, complex work — especially when you need to fit an entire codebase or document corpus into a single prompt.
Google: Gemini 2.5 Pro is best for deep reasoning over very long documents, complex codebases, or multimodal inputs where context size is a constraint with other models.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid Google: Gemini 2.5 Pro?
You need fast, low-cost completions at scale — the $10/1M output cost and balanced latency make it a poor fit for high-throughput or real-time applications.
What is a cheaper alternative to Google: Gemini 2.5 Pro?
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?
Google: Gemini 2.0 Flash is the better pick when response time matters more than maximum depth or premium quality.
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Skip this if
You need fast, low-cost completions at scale — the $10/1M output cost and balanced latency make it a poor fit for high-throughput or real-time applications.
Response latency is noticeably slower than flash-tier models like Gemini 2.0 Flash or GPT-4o mini
Creative writing and nuanced tone control still trails Claude Sonnet 4.6
Deliberate
Best for complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.
Context
1.0M tokens
This is a preview model (05-06 date suffix indicates a versioned snapshot); Google may deprecate or change it without long notice. Confirm production readiness before building critical pipelines on this endpoint. The 1M context window applies to text and multimodal inputs combined.
Long ContextReasoningMultimodalFrontierPreview
Best for
Complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.
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.
