Llama 3.1 8B Instruct (Meta) and Phi 3.5 mini instruct (Microsoft) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 23 September 2026
As of 23 September 2026, Phi 3.5 mini instruct holds the stronger ModelCap Index position (#221 vs #224); and Phi 3.5 mini instruct ships open weights.
Evidence: 2 public benchmark observations across 2 boards · publisher-corpus-prior over 215 held-out anchors (26%); launch card against 4 resolved peers on 6 rows (74%); exceeds every named peer on 1 of 6 rows; optimism haircut 0.67 from cross-lab-probe; shrunk 1.6 toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Llama 3.1 8B Instruct vs Phi 3.5 mini instruct
Public benchmark boards where Llama 3.1 8B Instruct or Phi 3.5 mini instruct has a published result
Llama 3.1 8B Instruct vs Phi 3.5 mini instruct: common questions
Is Llama 3.1 8B Instruct better than Phi 3.5 mini instruct?
Phi 3.5 mini instruct ranks higher on the ModelCap Index as of 23 September 2026: #221 against #224. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is Llama 3.1 8B Instruct cheaper than Phi 3.5 mini instruct?
At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.
Which has the bigger context window, Llama 3.1 8B Instruct or Phi 3.5 mini instruct?
Both publish a 131K-token context window.
Which is better for coding, Llama 3.1 8B Instruct or Phi 3.5 mini instruct?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are Llama 3.1 8B Instruct and Phi 3.5 mini instruct open-weight models?
Llama 3.1 8B Instruct: Gated access. Phi 3.5 mini instruct: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run Llama 3.1 8B Instruct and Phi 3.5 mini instruct?
ModelCap currently lists 5 API providers for Llama 3.1 8B Instruct and 0 for Phi 3.5 mini instruct, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Llama 3.1 8B Instruct vs Phi 3.5 mini instruct comparison?
Every figure comes from the sealed ModelCap dataset published 23 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.