Gemini (Google) vs Olmo 3 (AI2)

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

Our Pick

Gemini (Google)

A
8.3/10

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

Olmo 3 (AI2)

B
7.9/10

Allen Institute for AI's fully-open frontier reasoning models -- Olmo 3 family (2025-11-20) includes 7B and 32B sizes, four variants (Base, Think, Instruct, RLZero). Apache 2.0 with fully open data + checkpoints + training logs. Olmo 3-Think 32B matches Qwen3-32B-Thinking at 6x fewer training tokens

CategoryGemini (Google)Olmo 3 (AI2)
Ease of Use8.06.0
Output Quality8.08.0
Value9.09.5
Features8.08.0
Overall8.37.9

Pricing Comparison

FeatureGemini (Google)Olmo 3 (AI2)
Free TierYesYes
Starting Price$0$0

Benchmark Head-to-Head

Gemini 3.1 Ultra benchmarks — Olmo 3 (AI2) has no published benchmarks

BenchmarkScore
MMLU90.5%
GPQA Diamond94.3%
HumanEval93.5%
SWE-bench80.6%
ARC-AGI77.1%

Which Should You Pick?

Pick Gemini (Google) if...

  • Easier to use (8 vs 6)

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 Olmo 3 (AI2) if...

AI researchers doing reproducibility work, training-data studies, instruction-tuning research, or RLHF-free (RLZero) experimentation. Also valuable for academic institutions and non-profits that want to use an open-weight model whose provenance is fully auditable. Good as a teaching / learning model where inspecting checkpoints matters.

Visit Olmo 3 (AI2)

Our Verdict

Gemini (Google) edges out Olmo 3 (AI2) with a 8.3 vs 7.9 overall score. Both are solid picks, but Gemini (Google) has the advantage in features.