Our pickLlama 4 (Meta)
Poe
Tier-list head-to-head. Llama 4 (Meta) takes the B-tier slot — here's the breakdown.
Spec sheet
| Llama 4 (Meta) | Poe | |
|---|---|---|
| Tier | B-tierwin | B-tier |
| Overall score | 7.9 / 10win | 7.5 / 10 |
| Free tier | Yes | Yes |
| Starting price | $0 | $0 |
| Best for | Developers and teams who need a permissively-licensed open-weights model with strong tooling, long context … | AI power users who want to try multiple models without managing separate subscriptions for each one. |
| Last reviewed | 2026-04-13 | 2026-03-27 |
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 open-weight workhorse”
“The multi-model switchboard”
What you'll pay
Look past the headline number -- entry-tier limits drive most cost surprises.
Free tier available
Free tier available
Llama 4 Maverick (17B/400B MoE) benchmarks — Poe has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| MMLU-Pro | Harder multi-subject reasoning | 80.5% |
| GPQA Diamond | Graduate-level science questions | 69.8% |
| HumanEval | Python code generation | 88% |
| MMMU (multimodal) | 73.4% |
The decision
Use-case anchors and category strengths, side by side.
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)AI power users who want to try multiple models without managing separate subscriptions for each one.
Visit PoeBottom line
Llama 4 (Meta) edges out Poe by 0.4 points (7.9 vs 7.5) -- a B-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 Llama 4 (Meta)'s strengths, so if those categories are your priority, the lead translates.
Pricing-wise, both tools have a free tier (Llama 4 (Meta) starts $0, Poe 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 Llama 4 (Meta) when developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (scout), or multimodal (maverick). Pick Poe when ai power users who want to try multiple models without managing separate subscriptions for each one. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Llama 4 (Meta)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Poe's lane, the score gap matters less than the fit.
Bottom line: Llama 4 (Meta) is the safer default for most readers, but Poe is competitive enough that the tie-breaker is your specific workload, not the spec sheet.
Keep digging
Full Llama 4 (Meta) review
Tier B · 7.9/10
Full Poe review
Tier B · 7.5/10
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Built from our daily AI-tool sweep, last touched April 13, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.