modelsentiment
← Leaderboard

Gemma 4

Google · Gemma series · released 2 Apr 2026 · as of 13 Nov, 20:12 UTC

64
02550751000 = all negative · 50 = neutral · 100 = all positive

Positive

Reddit reads Gemma 4 as positive: an index of 64 from 122 opinions in 77 threads last 7 days, its whole 95% interval, 60–67, above neutral. That is 1st of the 25 models with a full read, but not clearly warmer than 2nd, Qwen3.8-Flash-Next (63). 4 points warmer than the previous 7 days, within noise.

The share praising is highest for writing & tone, 81% of 42 opinions. On benchmarks: 53rd of 128 on Arena text, 79th of 94 on Code Arena.

Per day

The last 14 UTC days. Each day's own index at its value, with its 95% interval.

  1. Sat 31 Oct21
  2. Sun 1 Nov30
  3. Mon 2 Nov21
  4. Tue 3 Nov21
  5. Wed 4 Nov20
  6. Thu 5 Nov17
  7. Fri 6 Nov22
  8. Sat 7 Nov16
  9. Sun 8 Nov23
  10. Mon 9 Nov27
  11. Tue 10 Nov11
  12. Wed 11 Nov14
  13. Thu 12 Nov20
  14. Fri 13 Nov11 so far

No day this week is set against the rest of the week: both need a full read (30 opinions from 20 threads and 20 accounts).

Is Gemma 4 getting worse?

This measures opinion, not capability: whether Reddit's view of Gemma 4 moved, not whether the model changed. Reddit's view has not moved by more than noise: 64 in the last 7 days against 60 in the 7 before, a gap of 3.7 points inside its 95% margin of ±5.8; a smaller shift can't be ruled out.

Praised and criticised

Share of the opinions on each topic that praise it. Tagged by a language model; topics never feed the index.

  1. Writing & tonemostly praised42
  2. Intelligencemostly praised25
  3. Speedmostly praised19
  4. Codingsplit15
  5. Follow-throughsplit10

Reddit and the benchmarks

Its rank on each list, bottom to top. Outside numbers sit beside Reddit and never feed its index. Hover a name for the value and its source.

  1. #1 of 25 with a full read
  2. #53 of 128 on Arena
  3. #79 of 94 on Arena

Per subreddit

The model's index within each subreddit, from 10 opinions; faded below 30 opinions, 20 threads or 20 accounts.

  1. r/LocalLLaMA53
  2. r/SillyTavernAI37
  3. r/LocalLLM24

Threads behind the opinions

The 20 threads with the most opinions about this model. A thread's index reads the opinions in it, not the post, and shows from 10 opinions.

ThreadSubredditOpinionsIndex
New Gemma Modelsr/LocalLLaMA8–
[Megathread] - Best Models/API discussion - Week of: November 08, 2026in 6 commentsr/SillyTavernAI6–
After four years of development, are LLMs capable of writing high-quality prose?in 5 commentsr/LocalLLaMA5–
chat : refactor gemma4 to build loose schema rules and clean up by aldehir · Pull Request #31915 · ggml-org/llama.cppr/LocalLLaMA5–
Qwen 4 Max's Writing/Creative ability not even good as gemma 4 12br/Qwen_AI4–
Local document processing when Chinese models arent allowed, what’s left?in 4 commentsr/LocalLLaMA4–
Anyone running local AI on 16GB vram?in 4 commentsr/LocalLLaMA4–
When will Ai roleplay be sustainable?in 4 commentsr/SillyTavernAI4–
Sloppiest models for writing?in 3 commentsr/SillyTavernAI3–
Looking for suggestions for a local model that would be good at evaluating comedy writingr/LocalLLaMA3–
Looking for a small model (3B–8B) that's really good at casual conversationin 3 commentsr/SillyTavernAI3–
What are your favorite AI models that you think lack being uncensored or require new quants?r/SillyTavernAI3–
If open weights dry up, what are you archiving?in 2 commentsr/LocalLLaMA2–
Gemma4-31b latent space discovery: Caring and Contempt for user controlled by the same 3 neurons! Plus, how to find your own steering recipes and export to GGUF steering vector for llama.cppr/LocalLLaMA2–
Users have started buying RTX 5060 Ti 16GB graphics cards en masse for the sake of AI.in 2 commentsr/LocalLLaMA2–
I need a model that can handle and actively participate in NSFL content.in 2 commentsr/SillyTavernAI2–
We are in the golden age of Local LLMin 2 commentsr/LocalLLaMA2–
llama.cpp v1.0 is here 🦙in 1 commentr/LocalLLaMA1–
A great Free models for google collabin 1 commentr/SillyTavernAI1–
Running local AI models on low-end hardware – What are my options?in 1 commentr/SillyTavernAI1–

Weekly email

Every Monday: the warmest and coldest models, and who moved beyond noise. No tracking; one click unsubscribes.