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
2026-08-19
Model Variants
19 variants · Select to compare specs
Capability Fingerprint
Gemma 4 31B (Reasoning)
balanced
low
128k
$0.00 / 1M tokens
“Gemma 4 31B (Reasoning) by Google. Optimized for efficiency.”
Benchmarks
8 metricsOur Verdict
The best Apache-2.0 license in open weights, with genuine frontier-adjacent capability.
Gemma 4 earns its #3 open-model Arena ranking with a 72.1% SWE-Bench Verified score and the permissive Apache 2.0 license enterprises actually want. The 31B variant is resource-heavy for phones and its context window trails proprietary Gemini, but for local RAG and edge deployment it is the pragmatic default. Nothing else in open weights balances capability, size options, and licensing this cleanly.
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 2026-08-19. 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 | 200K tokens | 400K 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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