Gemini (Google) vs AI21 Jamba2

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

Our Pick

Gemini (Google)

8.3/10

Google's LLM with deep Google Workspace integration, 2M token context window, and native code execution

AI21 Jamba2

8.0/10

AI21 Labs' hybrid SSM-Transformer (Mamba-style) open-weight family -- Jamba2 launched 2026-01-08. Two sizes: 3B dense (runs on phones / laptops) and Jamba2 Mini MoE (12B active / 52B total). Apache 2.0, 256K context, mid-trained on 500B tokens

Category	Gemini (Google)	AI21 Jamba2
Ease of Use	8.0	6.5
Output Quality	8.0	8.0
Value	9.0	9.0
Features	8.0	8.5
Overall	8.3	8.0

Pricing Comparison

Feature	Gemini (Google)	AI21 Jamba2
Free Tier	Yes	Yes
Starting Price	$0	$0

Benchmark Head-to-Head

Gemini 3.1 Ultra benchmarks — AI21 Jamba2 has no published benchmarks

Benchmark	Description	Score
MMLU	Knowledge across 57 subjects	90.5%
GPQA Diamond	Graduate-level science questions	94.3%
HumanEval	Python code generation	93.5%
SWE-bench	Real GitHub issue fixing	80.6%
ARC-AGI	Abstract reasoning puzzles	77.1%

Which Should You Pick?

Pick Gemini (Google) if...

✓Easier to use (8 vs 6.5)

Google Workspace power users. If you live in Gmail, Docs, and Drive, Gemini Advanced integrates directly into your workflow. Also great for developers who need the cheapest API with the longest context window.

Visit Gemini (Google)

Pick AI21 Jamba2 if...

Developers building long-context RAG systems (256K context with manageable memory is the sweet spot), mobile/edge deployments where Jamba2 3B's hybrid efficiency shines, and teams that want to experiment with non-transformer architectures while staying in Apache-2.0 territory. Also good for Israeli + EU enterprise procurement where AI21's geography / GDPR posture matters.

Visit AI21 Jamba2

Our Verdict

Gemini (Google) edges out AI21 Jamba2 with a 8.3 vs 8.0 overall score. Both are solid picks, but Gemini (Google) has the advantage in features.