Gemma 4 31B (Google) and o3 (OpenAI) 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 18 August 2026
As of 18 August 2026, Gemma 4 31B holds the stronger ModelCap Index position (#30 vs #37); Gemma 4 31B is 23.5× cheaper per output token ($0.34/1M vs $8.00/1M); Gemma 4 31B offers the longer context window (262K vs 200K tokens); and Gemma 4 31B ships open weights.
Evidence: 5 public benchmark observations across 5 boards · 4 public benchmark observations across 4 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Gemma 4 31B vs o3
Public benchmark boards where Gemma 4 31B or o3 has a published result
Gemma 4 31B ranks higher on the ModelCap Index as of 18 August 2026: #30 against #37. 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.
Is Gemma 4 31B cheaper than o3?
Gemma 4 31B is cheaper on output tokens: $0.34/1M against $8.00/1M. Input tokens are $0.10/1M for Gemma 4 31B and $2.00/1M for o3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.
Which has the bigger context window, Gemma 4 31B or o3?
Gemma 4 31B has the larger context window: 262K tokens against 200K.
Gemma 4 31B: Open weights. o3: API only. 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 Gemma 4 31B and o3?
ModelCap currently lists 16 API providers for Gemma 4 31B and 1 for o3, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Gemma 4 31B vs o3 comparison?
Every figure comes from the sealed ModelCap dataset published 18 August 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.