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.
88
Coding
78
Writing
92
Research
65
Images
55
Value
97
Long Context
Use this when
Complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.
Skip this if
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.
Pricing
$1.25/1M in
$10.00/1M out
→0%since May 2026
Context
1.0M tokens
Speed
Deliberate
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.
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
Real-world use cases
What people actually use Google: Gemini 2.5 Pro Preview 05-06 for.
Ingesting an entire Node.js monorepo and generating a refactoring plan with dependency analysis
Summarizing and cross-referencing 50+ research papers to identify contradictions and research gaps
Analyzing hour-long meeting transcripts alongside supporting documents to produce structured action items
Price History
Google: Gemini 2.5 Pro Preview 05-06 pricing over time
→0% since May 9
89 data points · tracked daily since May 9, 2026
Ready to try it?
Start using Google: Gemini 2.5 Pro Preview 05-06
Complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.. Start free — no card required.
Google's I/O 2026 headliner — a Flash-tier model that beats Gemini 3.1 Pro on agentic and coding benchmarks while running roughly 4x faster than comparable frontier models.
Verdict
Excellent fast agentic model, superseded by Gemini 3.6 Flash.
Quality score
89%
Pricing
$0.15/1M in
$1.25/1M out
Speed
Fast
Best for fast agentic coding and autonomous task execution
Context
1.0M tokens
Released at Google I/O, May 19, 2026. Batch API half price; context caching $0.15/1M. 65,536-token output limit.
Google's efficiency-focused successor to 3.5 Flash — higher scores on every benchmark Google tested, ~17% fewer output tokens, and cheaper output pricing.
Verdict
Best Gemini for agents — efficiency king with native computer use.
Quality score
90%
Pricing
$0.75/1M in
$3.75/1M out
Speed
Fast
Best for cost-efficient long-horizon agents and computer use
Context
1.0M tokens
Released July 21, 2026 alongside 3.5 Flash-Lite and the gated 3.5 Flash Cyber. Knowledge cutoff March 2026. Batch $0.75/$3.75; cached input $0.15/1M.
AgenticComputer useEfficientMultimodal1M context
Best for
Cost-efficient long-horizon agents and computer use
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
$0.63/1M in
$5.00/1M 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.
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?
Mistral: Mistral Nemo 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?
Gemini 3.5 Flash is the better pick when response time matters more than maximum depth or premium quality.
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