Gemma 4 (Google) vs LangGraph

Which one should you pick? Here's the full breakdown.

Our Pick

Gemma 4 (Google)

8.3/10

Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices

LangGraph

8.3/10

LangChain's graph-based framework for building stateful, controllable multi-agent and human-in-the-loop AI workflows

Category	Gemma 4 (Google)	LangGraph
Ease of Use	7.0	6.0
Output Quality	8.0	9.0
Value	10.0	8.5
Features	8.0	9.5
Overall	8.3	8.3

Pricing Comparison

Feature	Gemma 4 (Google)	LangGraph
Free Tier	Yes	Yes
Starting Price	$0	$0

Benchmark Head-to-Head

Gemma 4 31B benchmarks — LangGraph has no published benchmarks

Benchmark	Description	Score
MMLU	Knowledge across 57 subjects	83%
GPQA Diamond	Graduate-level science questions	84.3%
AIME 2024	Competition math problems	89.2%
HumanEval	Python code generation	85%

Which Should You Pick?

Pick Gemma 4 (Google) if...

✓Easier to use (7 vs 6)
✓Better value for money (10/10)

Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune. Especially good for multilingual use cases and on-device deployment.

Visit Gemma 4 (Google)

Pick LangGraph if...

✓Higher output quality (9 vs 8)
✓More features (9.5 vs 8)

Developers building complex, stateful, or human-in-the-loop agent workflows where the logic is genuinely a graph -- loops, branches, approvals, retries. Also the right pick for teams already on LangChain who want serious production tracing and evaluation.

Visit LangGraph

Our Verdict

Gemma 4 (Google) and LangGraph are extremely close overall. Your choice comes down to specific needs -- Gemma 4 (Google) is better for developers and businesses who need a permissively licensed multimodal llm they can self-host or fine-tune, while LangGraph works best for developers building complex, stateful, or human-in-the-loop agent workflows where the logic is genuinely a graph -- loops, branches, approvals, retries.