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Gemma 4 12B

  • Released
  • Open weights
  • Apache 2.0
Intelligence Index

Reasoning setting

14.2
Estimated · Artificial Analysis v4.3.2
Context window
256K tok

Performance profile

ReasoningRank #64 of 107
75.3%
GPQA Diamond

Capabilities

Context window

Modalities

Measured setting

Reasoning trade-offs

Source (opens in a new tab)
Intelligence Index v4.3.2
ReasoningEstimated
Intelligence Index
14.2

Pricing & access

No API offering listed in our tracked sources.

Run locally

GGUF
Context
Estimated memory

~11.5 GiB

RAM + VRAM

Estimate assumptions

One text chat at the selected context, with a 16-bit cache and app allowance. Operating system and image processing are extra; optimized caches can use less.

16 GiB RAMwithout GPU offload

Memory budgetOne text chat
Weights
6.9 GiB
Context cache
2.6 GiB16-bit cache
App allowance
2 GiB
Disk space
~14 GBIncludes image file
Get GGUF (opens in a new tab)
Set up in Ollama · Q4_K_M · 8K context

Save the following as Modelfile. The context matches the estimate above.

FROM hf.co/lmstudio-community/gemma-4-12B-it-GGUF:Q4_K_M
PARAMETER num_ctx 8192

Then run these commands in your terminal:

ollama create llmcurrent-local -f Modelfile
ollama run llmcurrent-local

Ollama import instructions (opens in a new tab) · For LM Studio or Jan, open the app’s model search, enter lmstudio-community/gemma-4-12B-it-GGUF, choose Q4_K_M, and set context to 8,192 tokens in the app’s model settings. Software links above open each app’s setup guide.

Images need extra memoryvLLM setup (opens in a new tab)

Benchmarks

Full leaderboardSource (opens in a new tab)

Humanity’s Last Exam

Frontier reasoning

Gemma 4 12B · Reasoning#76 of 126

  1. 1Claude Opus 5.5Max61.4%
  2. 2Claude Fable 5.1Max59.1%
  3. 3Gemini 4 ArgonHigh57.1%
  4. 73HyperNova 60B 2605High16.6%
  5. 74KAT Coder Pro V2Standard16.1%
  6. 75Trinity Large ThinkingReasoning15.8%
  7. 76Gemma 4 12BReasoning15.7%
  8. 77Qwen3.5 9BReasoning14.9%
  9. 78Qwen3.5 Omni PlusStandard14.9%
  10. 79K2 Horizon 3.7BReasoning13.9%

Peers use their best measured result on this benchmark.