A strong open-weight performer for short-context coding and reasoning, hobbled by an outdated 8K context limit.
74
Coding
70
Writing
62
Research
0
Images
65
Value
18
Long Context
Use this when
Teams that need strong open-weight model performance for coding and reasoning tasks without paying flagship prices.
Strengths
Exceptionally strong for its parameter count — outperforms many larger open models on benchmarks like MMLU and HumanEval
Competitive instruction-following that rivals Claude Haiku and GPT-4o Mini on structured tasks
Clean, well-formatted outputs with low hallucination rates compared to similarly-sized open models
Cost-effective at $0.65/1M tokens for both input and output — symmetric pricing simplifies budgeting
Weaknesses
Tiny 8K context window is a serious limitation — Gemini 3.1 Pro and Claude Sonnet 4.6 offer 200K+ tokens
Monthly cost estimate
See what Google: Gemma 2 27B actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.650
Output cost
$0.325
Total / month
$0.975
Based on Google: Gemma 2 27B API pricing: $0.65/1M input · $0.65/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Google: Gemma 2 27B pricing over time
→0% since May 9
4 data points · tracked daily since May 9, 2026
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Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
Similar models worth checking before you commit.
GoogleBalanced
Google: Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 is Google's most capable reasoning-focused model, featuring a massive 1M token context window and strong performance across code, math, and complex analysis tasks. It represents Google's top-tier offering in the Gemini 2.5 generation, optimized for depth over speed.
Verdict
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.
Quality score
83%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Change history
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Google: Gemma 2 27B — added to UseRightAI
Google: Gemma 2 27B (Google) is now indexed. A strong open-weight performer for short-context coding and reasoning, hobbled by an outdated 8K context limit.
Google: Gemma 2 27B is best for teams that need strong open-weight model performance for coding and reasoning tasks without paying flagship prices.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
When should I avoid Google: Gemma 2 27B?
You need long document processing, multimodal inputs, or frontier-level reasoning — the 8K context window alone disqualifies it for most RAG or document analysis workflows.
What is a cheaper alternative to Google: Gemma 2 27B?
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: Gemma 2 27B?
Google: Gemini 2.5 Pro Preview 06-05 is the better pick when response time matters more than maximum depth or premium quality.
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Skip this if
You need long document processing, multimodal inputs, or frontier-level reasoning — the 8K context window alone disqualifies it for most RAG or document analysis workflows.
No multimodal capabilities; text-only limits applicability in modern pipelines
Reasoning depth falls short of frontier models like GPT-5.4 or Gemini 3.1 Pro on complex multi-step problems
Deliberate
Best for complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.
Context
1.0M tokens
This is a preview model (06-05 date suffix indicates a versioned snapshot); Google may deprecate or modify it before a stable GA release. Pricing tiers differ based on prompt length — prompts over 200K tokens are charged at $2.50/1M input and $15/1M output, significantly increasing cost for very long-context use cases.
FlagshipLong ContextReasoningCodingPreview
Best for
Complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.
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
81%
Pricing
$6.00/1M in
$30.00/1M out
Speed
Balanced
Best for complex coding tasks, multi-step reasoning, and long-document analysis where gpt-4o-class quality is needed without paying for the absolute top tier.
Context
200k tokens
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
84%
Pricing
$5.00/1M in
$25.00/1M out
Speed
Deliberate
Best for demanding professional tasks requiring deep reasoning, nuanced judgment, and high-quality long-form output.
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.
