Skip to content

Model Library

GoogleReleased June 3, 2026

Gemma 4 12B (Non-reasoning)

Google · Released June 3, 2026

Intelligence score

13

At a glance

Intelligence
13
Speed
134.1tokens/sec
Latency
2.61stime to first token
Input price
$0.10per 1M tokens
Output price
$0.30per 1M tokens
Context window
260Ktokens
Parameters
12billions

Summary

Comparison summary

Gemma 4 12B (Non-reasoning) scores 13 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 6). Gemma 4 12B (Non-reasoning) generates output at 134.1 tokens per second (based on the median across providers serving the model), which is above average compared to other open weight non-reasoning models of similar size (median: 102.7 t/s). Gemma 4 12B (Non-reasoning) costs $0.10 per 1M input tokens (better than average, median: $0.15) and $0.30 per 1M output tokens (better than average, median: $0.32), based on the median across providers serving the model.

Specifications

Technical specifications

Model nameGemma 4 12B (Non-reasoning)
ProviderGoogle
Release dateJune 3, 2026
Intelligence score13
Speed134.1 tokens/sec
Latency (TTFT)2.61s
Input price$0.10 / 1M tokens
Output price$0.30 / 1M tokens
Context window260,000 tokens
Parameters12B
ReasoningNo
Input modalitiestext, image, audio, video
Output modalities—
Open weightsYes
LicenseApache 2
API availability—
SourceModel Intelligence legacy profile: gemma-4-12b-non-reasoning

Pricing

Token prices

Price per 1M tokens

Gemma 4 12B (Non-reasoning), as listed in the catalog record

Input $0.10 and output $0.30 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$0.10
  2. Output$0.30

Model Intelligence legacy profile: gemma-4-12b-non-reasoning

FAQ · 19

Frequently asked questions

Gemma 4 12B (Non-reasoning) was released on June 3, 2026.

Gemma 4 12B (Non-reasoning) was created by Google.

Gemma 4 12B (Non-reasoning) scores 13 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 6).

Gemma 4 12B (Non-reasoning) generates output at 134.1 tokens per second (based on the median across providers serving the model), which is above average compared to other open weight non-reasoning models of similar size (median: 102.7 t/s).

Gemma 4 12B (Non-reasoning) has a time to first token (TTFT) of 2.61s (based on the median across providers serving the model), which is at the higher end compared to other open weight non-reasoning models of similar size (median: 1.54s).

Gemma 4 12B (Non-reasoning) costs $0.10 per 1M input tokens (better than average, median: $0.15) and $0.30 per 1M output tokens (better than average, median: $0.32), based on the median across providers serving the model.

Gemma 4 12B (Non-reasoning) costs $0.10 per 1M input tokens and $0.30 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.12 per 1M tokens. Pricing may vary by provider.

No, Gemma 4 12B (Non-reasoning) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.

Gemma 4 12B (Non-reasoning) supports text, image, speech, and video input.

Gemma 4 12B (Non-reasoning) supports text output.

Yes, Gemma 4 12B (Non-reasoning) supports image input and can analyze, describe, and answer questions about images.

Yes, Gemma 4 12B (Non-reasoning) is multimodal. It can process text, image, speech, and video input and generate text output.

Gemma 4 12B (Non-reasoning) has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.

Yes, Gemma 4 12B (Non-reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.

Gemma 4 12B (Non-reasoning) has 12 billion parameters.

Gemma 4 12B (Non-reasoning) is released under the Apache 2.0 license. This license allows commercial use.

Gemma 4 12B (Non-reasoning) achieves a score of 13 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Yes, Gemma 4 12B (Non-reasoning) is available via API through 1 provider.

Gemma 4 12B (Non-reasoning) is available through 1 API provider.