Google's most capable model — a top-tier reasoning and coding powerhouse with an unmatched context window, held back only by its preview status and output cost.
93
Coding
80
Writing
91
Research
20
Images
52
Value
97
Long Context
Use this when
Complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.
Skip this if
You need fast, low-latency responses for real-time applications, or if your workload generates high output token volume that would make the $10/1M output cost prohibitive.
Industry-leading 1M token context window — can process entire codebases or book-length documents in a single pass
Exceptional performance on coding benchmarks, competitive with Claude Sonnet 4.6 and GPT-5.4 on HumanEval and SWE-bench
Strong multi-step reasoning with chain-of-thought capabilities, particularly on math and science tasks
Relatively affordable input pricing at $1.25/1M tokens for a frontier-class model
Weaknesses
Output cost at $10/1M tokens adds up quickly for verbose or long-form generation tasks
Preview status means behavior and availability may change without notice before stable release
Deliberate latency makes it poorly suited for real-time or latency-sensitive applications
Monthly cost estimate
See what Google: Gemini 2.5 Pro Preview 06-05 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 06-05 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 06-05 pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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Complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.. 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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Anthropic: Claude 3.5 Sonnet
Claude 3.5 Sonnet is Anthropic's mid-cycle flagship model, balancing strong reasoning, coding, and instruction-following with a 200K context window. It sits between Haiku and Opus in Anthropic's lineup, offering near-flagship quality at a lower cost than top-tier models.
Verdict
One of the best models for coding and complex instruction-following, but its premium pricing demands premium use cases.
Quality score
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Context
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Pricing at $6 input / $30 output per million tokens is significantly higher than GPT-4o ($2.50/$10). Best accessed via Anthropic API or Amazon Bedrock. Claude 3.5 Sonnet (October 2024 version) supersedes the June 2024 release with improved performance.
Claude Opus 4 is Anthropic's most capable flagship model, designed for complex reasoning, nuanced writing, and sophisticated multi-step tasks. It sits at the top of the Claude 4 family, prioritizing depth and quality over speed.
Verdict
Anthropic's best model for when quality matters more than speed or cost.
Quality score
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Pricing
$15.00/1M in
$75.00/1M out
Speed
Deliberate
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Context
200k tokens
At $15 input / $75 output per 1M tokens, Opus 4 is one of the most expensive models available. Anthropic recommends using Claude Sonnet 4 for most production use cases and reserving Opus 4 for tasks explicitly requiring maximum capability.
FlagshipPremiumReasoningLong ContextAgentic
Best for
Demanding professional tasks requiring deep reasoning, nuanced judgment, and high-quality long-form output.
Claude Opus 4.1 is Anthropic's top-tier flagship model, designed for the most demanding tasks requiring deep reasoning, nuanced writing, and complex multi-step analysis. It sits at the apex of the Claude 4 family, prioritizing capability over cost and speed.
Verdict
Anthropic's most capable model for demanding professional work, but its steep output cost demands justification.
Quality score
83%
Pricing
$15.00/1M in
$75.00/1M out
Speed
Deliberate
Best for high-stakes professional work where output quality justifies premium pricing — legal analysis, advanced research synthesis, and complex agentic workflows.
Context
200k tokens
Output pricing at $75/1M tokens is among the highest in the market — nearly 3x GPT-4.1's output cost. Batch API discounts may be available through Anthropic. Context window is 200K but very long prompts at Opus pricing can become extremely expensive quickly. Note: supersedes field lists Claude 4 Haiku, which is likely a data error — Opus 4.1 more logically succeeds Claude Opus 4.
FlagshipPremiumReasoningLong ContextAgentic
Best for
High-stakes professional work where output quality justifies premium pricing — legal analysis, advanced research synthesis, and complex agentic workflows.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Google: Gemini 2.5 Pro Preview 06-05 — added to UseRightAI
Google: Gemini 2.5 Pro Preview 06-05 (Google) is now indexed. Google's most capable model — a top-tier reasoning and coding powerhouse with an unmatched context window, held back only by its preview status and output cost.
What is Google: Gemini 2.5 Pro Preview 06-05 best for?
Google: Gemini 2.5 Pro Preview 06-05 is best for complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.. 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 06-05?
You need fast, low-latency responses for real-time applications, or if your workload generates high output token volume that would make the $10/1M output cost prohibitive.
What is a cheaper alternative to Google: Gemini 2.5 Pro Preview 06-05?
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 06-05?
Anthropic: Claude 3.5 Sonnet is the better pick when response time matters more than maximum depth or premium quality.
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