Our pickGemini (Google)
Llama 4 (Meta)
Tier-list head-to-head. Gemini (Google) takes the A-tier slot — here's the breakdown.
Spec sheet
| Gemini (Google) | Llama 4 (Meta) | |
|---|---|---|
| Tier | A-tierwin | B-tier |
| Overall score | 8.3 / 10win | 7.9 / 10 |
| Free tier | Yes | Yes |
| Starting price | $0 | $0 |
| Best for | Google Workspace power users. | Developers and teams who need a permissively-licensed open-weights model with strong tooling, long context … |
| Last reviewed | 2026-05-07 | 2026-04-13 |
Head-to-head
Rated 1-10 on the same rubric across all 130 tools we cover.
Vibe check
How each tool actually sounds when you talk to it.
“The Google research assistant”
“The open-weight workhorse”
What you'll pay
Look past the headline number -- entry-tier limits drive most cost surprises.
Free tier available
Free tier available
Gemini 3.1 Ultra vs Llama 4 Maverick (17B/400B MoE)
| Benchmark | Gemini (Google) | Llama 4 (Meta) |
|---|---|---|
| GPQA Diamond | 94.3% | 69.8% |
| HumanEval | 93.5% | 88% |
The decision
Use-case anchors and category strengths, side by side.
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)Developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (Scout), or multimodal (Maverick). Safe default choice given the ecosystem.
Visit Llama 4 (Meta)Bottom line
Gemini (Google) edges out Llama 4 (Meta) by 0.4 points (8.3 vs 7.9) -- a A-tier vs B-tier split that's narrow but real. Not a blowout; both belong on a shortlist. The score gap shows up most clearly in the categories that matter for Gemini (Google)'s strengths, so if those categories are your priority, the lead translates.
Pricing-wise, both tools have a free tier (Gemini (Google) starts $0, Llama 4 (Meta) starts $0), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.
By use case: pick Gemini (Google) when google workspace power users. Pick Llama 4 (Meta) when developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (scout), or multimodal (maverick). The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Gemini (Google)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Llama 4 (Meta)'s lane, the score gap matters less than the fit.
Bottom line: Gemini (Google) is the safer default for most readers, but Llama 4 (Meta) is competitive enough that the tie-breaker is your specific workload, not the spec sheet.
Keep digging
Full Gemini (Google) review
Tier A · 8.3/10
Full Llama 4 (Meta) review
Tier B · 7.9/10
Gemini (Google) alternatives
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Llama 4 (Meta) alternatives
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Built from our daily AI-tool sweep, last touched May 7, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.