The opinions, the patterns, and the posts behind them.
13 models tracked6 vendors · Source: X
97 classified mentions · 4 excluded (1 cannot determine)Newest post Oct 4, 2026
THE BIG PICTURE
How the conversation is changing
PositiveNegative
29%positive (28)
28%negative (27)
35 neutral · 7 mixedNo comparable previous period
Share of classified mentions · UTCCollected opinions, unweighted by likes or reposts
READ THE EVIDENCE
In their own words
neutralJev confidence 90.0%
Free Gemini accounts lose Gemini 3.6 Flash and Gemini 3.1 Pro on 2026-10-09, left with only the smallest model, Gemini 3.5 Flash-Lite, per 9to5Google.
https://t.co/tubqzHvxbR
Jev classification details
Overall: Neutral90.0% confidence
The model is discussed in this dimension without a clear positive or negative opinion.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
0.0%
Negative
7.0%
Neutral
92.0%
Mixed
0.0%
Not discussed
1.0%
Cannot determine
0.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Neutral
90.0%
Reasoning
Not discussed
100.0%
Speed
Not discussed
100.0%
Cost
Not discussed
81.0%
Coding
Not discussed
100.0%
Refers to Gemini 3.1 ProYes · 100.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
negativeJev confidence 99.0%
Dude if Claude Haiku 5.5 drops before Gemini 4.
Even Haiku 5.5 would perform better than Gemini 3.1 pro😭😭
What the heck https://t.co/K1n2L29Ac9
Jev classification details
Overall: Negative99.0% confidence
Criticism, disappointment, or an unfavorable opinion about the model in this dimension.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
0.0%
Negative
100.0%
Neutral
0.0%
Mixed
0.0%
Not discussed
0.0%
Cannot determine
0.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Negative
99.0%
Reasoning
Not discussed
71.0%
Speed
Not discussed
99.0%
Cost
Not discussed
100.0%
Coding
Not discussed
88.0%
Refers to Gemini 3.1 ProYes · 95.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
neutralJev confidence 65.0%
context: I do lots of problematic mental age gap stuff, non-con stuff, grooming/manipulation, imprisonment, etc and I layer DeepSeek V4 Pro/Gemini 3.1 Pro. Occasionally GLM 5.2 with jailbreak https://t.co/3blfXGeVLV
Jev classification details
Overall: Neutral65.0% confidence
The model is discussed in this dimension without a clear positive or negative opinion.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
3.0%
Negative
1.0%
Neutral
71.0%
Mixed
0.0%
Not discussed
15.0%
Cannot determine
10.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Neutral
65.0%
Reasoning
Not discussed
97.0%
Speed
Not discussed
100.0%
Cost
Not discussed
100.0%
Coding
Not discussed
99.0%
Refers to Gemini 3.1 ProYes · 99.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
neutralJev confidence 55.0%
@Inmerson Bro I think this is gemini 3.1 pro result
Can you made a side by side comparision and provide the same prompt used
Jev classification details
Overall: Neutral55.0% confidence
The model is discussed in this dimension without a clear positive or negative opinion.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
0.0%
Negative
0.0%
Neutral
62.0%
Mixed
0.0%
Not discussed
4.0%
Cannot determine
34.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Neutral
55.0%
Reasoning
Not discussed
70.0%
Speed
Not discussed
95.0%
Cost
Not discussed
99.0%
Coding
Not discussed
84.0%
Refers to Gemini 3.1 ProYes · 97.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
mixedJev confidence 44.0%
I keep coming back to this paper because the numbers still kind of blow my mind. Gemini 3.1 Pro scored 77.6 and Octen-8B 77.2, but the cost difference was up to 1,431x. The real question is how much intelligence should live in the LLM, and how much should come from the search https://t.co/DEuugu6wei
Jev classification details
Overall: Mixed44.0% confidence
Both benefits and drawbacks are expressed about the same model in this dimension.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
19.0%
Negative
2.0%
Neutral
25.0%
Mixed
53.0%
Not discussed
0.0%
Cannot determine
1.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Mixed
44.0%
Reasoning
Not discussed
96.0%
Speed
Not discussed
100.0%
Cost
Negative
43.0%
Coding
Not discussed
100.0%
Refers to Gemini 3.1 ProYes · 100.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
mixedJev confidence 33.0%
I keep coming back to this paper because the numbers still kind of blow my mind. Gemini 3.1 Pro scored 77.6 and Octen-8B 77.2, but the cost difference was up to 1,431x. The real question is how much intelligence should live in the LLM, and how much should come from the search
Jev classification details
Overall: Mixed33.0% confidence
Both benefits and drawbacks are expressed about the same model in this dimension.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
20.0%
Negative
2.0%
Neutral
33.0%
Mixed
44.0%
Not discussed
0.0%
Cannot determine
1.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Mixed
33.0%
Reasoning
Not discussed
94.0%
Speed
Not discussed
100.0%
Cost
Negative
38.0%
Coding
Not discussed
100.0%
Refers to Gemini 3.1 ProYes · 100.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
neutralJev confidence 47.0%
AA Terminal-Bench 4.0: Claude Sonnet 5.5 (max) 64%, Opus 5.5 (max) 60%, Gemini 4 Argon 57% (+53 vs Gemini 3.1 Pro Preview). Setup: Artificial Analysis Terminal-Bench 4.0. AutomationBench-AA: Argon #1 at 77.5%. https://t.co/aLqM7Sht7E
Jev classification details
Overall: Neutral47.0% confidence
The model is discussed in this dimension without a clear positive or negative opinion.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
1.0%
Negative
40.0%
Neutral
56.0%
Mixed
0.0%
Not discussed
2.0%
Cannot determine
1.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Neutral
47.0%
Reasoning
Not discussed
98.0%
Speed
Not discussed
100.0%
Cost
Not discussed
100.0%
Coding
Not discussed
57.0%
Refers to Gemini 3.1 ProYes · 73.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
negativeJev confidence 37.0%
I wanted to REALLY SEE how far models have gone since last year, and the difference is clear. I have compared 2025's Frontier model that we thought was the BEST FOR FRONTEND, now sits at the LAST.
I have arranged these in a special way:
First video Gemini 3.1 Pro high, Second https://t.co/kI3afMYY2w
Jev classification details
Overall: Negative37.0% confidence
Criticism, disappointment, or an unfavorable opinion about the model in this dimension.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
21.0%
Negative
47.0%
Neutral
9.0%
Mixed
2.0%
Not discussed
1.0%
Cannot determine
20.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Negative
37.0%
Reasoning
Not discussed
85.0%
Speed
Not discussed
98.0%
Cost
Not discussed
100.0%
Coding
Negative
36.0%
Refers to Gemini 3.1 ProYes · 95.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
neutralJev confidence 75.0%
Gemini 3.1 Pro trying to visualize its mind
The symbols are some key vectors, like v_warmth, v_confidence, v_depth. The spirals are attractor basins https://t.co/W4OwH3arg0
Jev classification details
Overall: Neutral75.0% confidence
The model is discussed in this dimension without a clear positive or negative opinion.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
1.0%
Negative
0.0%
Neutral
80.0%
Mixed
0.0%
Not discussed
13.0%
Cannot determine
6.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Neutral
75.0%
Reasoning
Not discussed
96.0%
Speed
Not discussed
100.0%
Cost
Not discussed
100.0%
Coding
Not discussed
100.0%
Refers to Gemini 3.1 ProYes · 100.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
neutralJev confidence 77.0%
@Soso_fun_yt It was Gemini 3.1 Pro. But I hope Gemini 4 Argon will be okay.
Jev classification details
Overall: Neutral77.0% confidence
The model is discussed in this dimension without a clear positive or negative opinion.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
1.0%
Negative
4.0%
Neutral
81.0%
Mixed
1.0%
Not discussed
3.0%
Cannot determine
10.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Neutral
77.0%
Reasoning
Not discussed
95.0%
Speed
Not discussed
100.0%
Cost
Not discussed
100.0%
Coding
Not discussed
100.0%
Refers to Gemini 3.1 ProYes · 100.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
neutralJev confidence 79.0%
Gemini’s free tier is getting a major downgrade from October 9
Free Gemini users will soon lose access to Gemini 3.1 Pro and 3.6 Flash.
https://t.co/gziW8bt7el
Jev classification details
Overall: Neutral79.0% confidence
The model is discussed in this dimension without a clear positive or negative opinion.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
0.0%
Negative
16.0%
Neutral
83.0%
Mixed
0.0%
Not discussed
1.0%
Cannot determine
0.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Neutral
79.0%
Reasoning
Not discussed
100.0%
Speed
Not discussed
100.0%
Cost
Not discussed
44.0%
Coding
Not discussed
100.0%
Refers to Gemini 3.1 ProYes · 100.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
negativeJev confidence 97.0%
@elshayib_ It's wild to me that Google even thinks Gemini 3.1 Pro is worth $20 a month to anyone. All their models should be unlimited on the $5 plan, otherwise they're not worth the money
Jev classification details
Overall: Negative97.0% confidence
Criticism, disappointment, or an unfavorable opinion about the model in this dimension.
Confidence is Jev’s estimate, not verified accuracy. These are the saved classification results; Jev does not provide a written explanation for this post.
Overall label probabilities
Positive
0.0%
Negative
99.0%
Neutral
1.0%
Mixed
0.0%
Not discussed
0.0%
Cannot determine
0.0%
Jev’s category decisions
Dimension
Sentiment
Confidence
Overall
Negative
97.0%
Reasoning
Not discussed
100.0%
Speed
Not discussed
100.0%
Cost
Negative
100.0%
Coding
Not discussed
100.0%
Refers to Gemini 3.1 ProYes · 99.0% confidence
jev-sentiment-v4/jev-1.13.0Classified Oct 5, 2026 · UTC
Page 1 of 9 · 97 mentions
1 of 1 enabled models have a recorded collection outcome with target 50 in the last 7 days. Search exhaustion and page limits can produce fewer records.Target reached · 100 / 50 accepted · target reached · Last successful collection Oct 4, 2026
Last collection attempt Oct 5, 2026 · partially completedNew analyses use TypeSafe Jev