Gemma Review 2026: Pricing, Benchmarks & Alternatives
Visit SiteGoogle DeepMind
Google's lightweight open model family powered by Gemini technology
Category
chatbots
Starting At
Open Source
API
Available
Updated
2026-04-02
Model Variants
16 variants · Select to compare specs
Capability Fingerprint
Gemma 4 31B (Reasoning)
balanced
medium
128k
$0.00 / 1M tokens
“Gemma 4 31B (Reasoning) by Google. Optimized for efficiency.”
Benchmarks
8 metricsOur Verdict
Gemma 4 is Google's leading open-weights model family. The 4.3 Beta model ranks high locally on the Arena AI leaderboard, offering frontier reasoning and coding capabilities under an Apache 2.0 license.
Who should use Gemma: This tool excels for Open-source developers, Local RAG implementations, Edge device AI. Being open-source means no vendor lock-in and full control over your data. The #3 Open Model globally (Arena AI) pricing positions itcompetitively in the market.
Benchmark Analysis
Based on 8+ independent benchmarks, here's how Gemma performs:
Note: Benchmarks are verified against official vendor claims and independent testing. Scores last updated 2026-04-02. See our methodology for details.
Company Overview
Google DeepMind was founded in 2024 and is based in Mountain View, CA.Gemma is released under an open-source license, which means anyone can inspect the code, modify it, or deploy it privately without licensing fees.
Should you use Gemma?
- ✓Open-source developers
- ✓Local RAG implementations
- ✓Edge device AI
- ✗Smaller context than proprietary Gemini
- ✗Resource heavy for 31B on mobile
Key Advantages
- Apache 2.0 license (commercial use)
- #3 Open Model on Arena AI
- Phone-to-Workstation scalability
- Native Gemini 3 research inside
Known Constraints
- Smaller context than proprietary Gemini
- Resource heavy for 31B on mobile
Head-to-Head Comparisons
See how Gemma stacks up against its closest competitors with detailed benchmark analysis, pricing breakdowns, and expert verdicts.
Benchmark Comparison
Real performance data from independent testing
| Metric | GemmaThis | Gemini | Claude | ChatGPT |
|---|---|---|---|---|
| Site | Site | Site | Site | |
SWE-Bench (Coding) | 72.1% | 80.6% | 87.6% | 80.1% |
Terminal Success (Agents) | 58.4% | 68.5% | 69.4% | 75.1% |
Unit Logic (HumanEval) | 88.2% | 94.1% | 94.5% | 92.4% |
GPQA Diamond (Science) | — | 94.3% | 94.2% | 94.4% |
MATH (Reasoning) | 82.5% | 96.2% | 95.8% | 93.8% |
MMLU (Knowledge) | 84.5% | 92.6% | 91.5% | 88.2% |
Code Arena (ELO) | — | 1861 | 1650 | 1678 |
Chat Arena (ELO) | 1421 | 1455 | 1583 | 1457 |
Context | 256K tokens | 1M tokens | 1M tokens | 1M tokens |
Price | Open Source | Freemium | Freemium | Freemium |
Best For | ✓Coding✓Reasoning✓Agentic✓Value | ✓Coding★Reasoning✓Agentic★Value | ★Coding✓Reasoning✓Agentic | ✓Coding✓Reasoning★Agentic |
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