MDL
Gemma 4 12B
Verified against Artificial Analysis · Jul 27, 2026
Capability
72
percentile index
Price /M
$0.1 / $0.3
in / out
Context
—
Avg score
44.5
7 benchmarks
AA Intelligence
21.8
index
Speed
134 tok/s
TTFT 1.3s
Released
Jun 3, 2026
About
Gemma 4 12B is a open-weights model in the Gemma family from Google. Benchmarked on 7 evals, averaging 44.5.
Benchmark scores · 7
avg 44.5 — higher is betterThe research behind this model
all papers mentioning it →Gemma 4 Technical Report▲ 67 on HF · Jul 2, 2026K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs▲ 56 on HF · May 10, 2026Smarter and Cheaper at Once: Byte-Exact KV-Cache Grafting Turns a Frozen Small Model into a Verified-Knowledge Flywheel▲ 12 on HF · Jul 15, 2026Discrete Diffusion Language Models for Interactive Radiology Report Drafting▲ 11 on HF · Jul 1, 2026Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model▲ 5 on HF · Jul 22, 2026
Mentions matched by name in title/abstract — from the arXiv + HF daily corpus.
Performance & price
Output speed134 tok/s
Latency (TTFT)1.3s
First answer16s
Price in / out$0.1 / $0.3 per 1M
Blended price$0.15 / 1M
Coding index31.0
Median across API providers, via Artificial Analysis. Blended = 3:1 input:output. For reasoning models, latency includes thinking time. Methodology →
History
full ledger →Capability over time
Humanity's Last Exam14.6 → 14.8
1mo ago
τ²-bench34.8 → 36.3
1mo ago
Append-only ledger — every observed change to this model's numbers.
API providers
Artificial Analysis$0.3/M