Gemma 3 4B
ModelOpen sourceActiveby Google · family “gemmab”
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,... (description from the OpenRouter listing)
in: textin: imageout: textStructured output
Epoch Capabilities Index
116.0 #209 of 268
90% CI 96.2 – 123.5
Released
12 Mar 2025
Context window
131K tokens
Max output
16K tokens
Input $ / 1M tokens
$0.050
Output $ / 1M tokens
$0.10
Cached input $ / 1M
Unknown
Each benchmark shown separately with its own source
Benchmark results (5)
| Benchmark | Domain | Score | vs best recorded | Setting | Run | Source |
|---|---|---|---|---|---|---|
| LMCA | agents | 2.8% | 4% | — | — | External ↗ |
| DTBench | reasoning | 50.9% | 52% | — | — | External ↗ |
| Chess Puzzles | games | 0.0% | 0% | — | 28 Aug 2026 | Eval log ↗ |
| OTIS Mock AIME 2024-2025 | math | 7.5% ±2.8 | 8% | — | 28 Aug 2026 | Eval log ↗ |
| GPQA diamond | science | 23.2% ±1.9 | 24% | — | 28 Aug 2026 | Eval log ↗ |
Source: Epoch AI Benchmarking Hub (CC BY 4.0). “External” rows are leaderboard results Epoch collects from third parties. Best reported setting per benchmark is shown.
API list price over time
Price history
$ per 1M tokens
13 observations (OpenRouter listing + Internet Archive snapshots). History accumulates with every ingest run; a single point means no change has been observed yet.
Events
- Benchmark32d agoEpoch AI evaluates Gemma 3 4BEpoch AI Benchmarking Hub