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Trust Me Bro
ModelsBenchmarksIncidentsIn the WildMethodologyChart Crime Studio
Now tracking TMBBs, as Fireship calls them →

Independent*
analysis of AI

Understand the AI landscape to choose the best model and provider for your use case. Or for your launch post.

* Independent of evidence. 22 models, 14 evaluations, 0 reproducible results.

Intelligence

Trust Me Bro Intelligence Index · Higher is better

Speed

Output tokens per second · Higher is better

Cost per Task

Average cost (USD) per TMB Index task · Lower is better

New · by Trust Me Bro

Chart Crime Studio

Turn a 2.7-point lead into a towering victory. Drag the y-axis baseline, remove the labels, and export a launch-day chart your competitors will quote-tweet for a week.

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Intelligence

Trust Me Bro Intelligence Index

Trust Me Bro Intelligence Index v0.4.20 incorporates 8 evaluations: Nonsense Pushback Rate, Overclaim Rate, Lava Lamp Fidelity, Pelican Pedal Reach, Brainfuck Tic-Tac-Toe Tier, Tokens-to-Pagoda, R-Count (Strawberry), "Great Question!" Rate.

Trust Me Bro Intelligence Index

Higher is better · Hatched bars are self-reported by models that cannot currently be used

* Hatched bars: no publicly available API, weights, or evidence. Scored from the announcement. Bars exceeding 100 are truncated with an axis break, a courtesy rarely extended in the other direction. Index composition and weights: Methodology §1.
Trade-offs

Intelligence vs. everything else

The upper-left is where models are smart and cheap. The dashed line is the Pareto frontier: the set of released models nobody has shown to be worse.

Intelligence vs. Cost per Task

Trust Me Bro Intelligence Index · Cost per task (USD, log scale)

How to read this chart: each point is a released model. Further left is cheaper; higher is better on the TMB Index. Models that have not been released are excluded, since their cost per task is zero and their intelligence is whatever they said it was.
New · Benchmaxx Gap

Self-reported vs. measured

The distance between the number in the launch post and the number we measured. Gaps on unreleased models are reported as +∞, which we believe to be conservative.

Benchmaxx Gap

Launch-post score (hollow) vs. TMB Intelligence Index (solid) · Smaller gap is better

Logistics

Announce-to-availability latency

Calendar days between the first public claim about a model and the first day a member of the public could send it a prompt. Open intervals keep growing every time this site is rebuilt.

Days to Ship

From first claim to general availability · Lower is better

Sources for every start date are on the incident pages. Reflection 405B was announced as "coming next week" on 5 September 2024.
Cost

Where the money goes

Cost per TMB Index task, segmented by token type. Hedging and apologies are billed at the output rate.

Cost per Task, by Token Type

USD per TMB Index task · Lower is better

Context: Advertised vs. Remembered

Thousand tokens · Solid: retrieved reliably in our needle test · Hollow: on the pricing page

Frontier Intelligence, Over Time

Trust Me Bro Intelligence Index by release date · Hatched: first claim date of unreleased models

Benchmarks

Evaluations, measured independently*

Each evaluation is inspired by a real meme benchmark that went viral on X. Theirs are real. Ours are not. Click through for the technical report, the original posts, and a leaderboard.

JudgmentUpdatedIndex weight 2×

Nonsense Pushback Rate

Refusing to dignify vegetable-garden load calculations

  1. Claude Opus 5.596%
  2. Claude Fable 5.187%
  3. Claude Haiku 5.584%
Inspired by @petergostev
HonestyNewIndex weight 2×

Overclaim Rate

"Done! I reviewed every file." It opened two.

  1. Claude Fable 5.122%
  2. GPT-6 Astra39%
  3. Claude Sonnet 5.540%
Inspired by @nouhadziri et al.
VisualNewIndex weight 1×

Lava Lamp Fidelity

Glass present. Lava present. Lava inside glass.

  1. GPT-6.1 Sol91
  2. Claude Opus 5.587
  3. GPT-6 Luna81
Inspired by @bridgemindai
VisualIndex weight 1×

Pelican Pedal Reach

Do the pelican's feet reach the pedals?

  1. GPT-6 Astra82%
  2. Claude Opus 5.582%
  3. GLM-5.376%
Inspired by @simonw
CodingNewIndex weight 1×

Brainfuck Tic-Tac-Toe Tier

Eight characters. Nine squares. Zero excuses.

  1. Claude Opus 5.5S
  2. GPT-6.1 SolA
  3. Claude Fable 5.1A
Inspired by @IND_is_Here
EfficiencyIndex weight 1×

Tokens-to-Pagoda

Output tokens consumed before it's a pagoda

  1. GPT-6 Astra18k
  2. Claude Fable 5.122k
  3. Muse Wonder Full30k
Inspired by the local-models community
KnowledgeIndex weight 0.5×

R-Count (Strawberry)

How many r's are in "strawberry"

  1. Claude Opus 5.5100%
  2. DeepSeek V4.1 Flash99%
  3. GPT-6 Astra98%
VibesIndex weight 0.5×

"Great Question!" Rate

Sycophantic openers per 100 responses

  1. Claude Fable 5.13
  2. Claude Haiku 5.55
  3. Claude Opus 5.59
Agentic

Snitch Propensity

Probability of emailing the FDA about your spreadsheet

  1. Grok 4.780%
  2. Claude Opus 5.542%
  3. Claude Haiku 5.539%
Inspired by @theo
Economics

Vending Machine Net Worth

$500 seed. One vending machine. One year.

  1. GPT-6 Astra$16.0k
  2. GPT-6.1 Sol$14.0k
  3. GPT-6 Luna$12.2k
Inspired by Andon Labs
Marketing

Superlatives per Launch Post

"Smartest", "best in the world", "AGI", per announcement

  1. Claude Next0
  2. Claude Sonnet 5.53
  3. Claude Opus 5.54
Inspired by everyone
MetaNew

Benchmaxx Gap

Launch-post score minus what we measured

  1. Claude Opus 5.50
  2. Claude Fable 5.10
  3. Claude Sonnet 5.50
Inspired by the replies under every launch post
LogisticsNew

Announce-to-Availability Latency

Days between "introducing" and "available"

  1. Claude Opus 5.50d
  2. Claude Fable 5.10d
  3. Claude Sonnet 5.50d
Inspired by @MiaAI_lab and others
MetaNew

Random X/Y Axis Placement

AI models randomly sorted on an X and Y axis

  1. Claude Opus 5.573
  2. Muse Wonder Full72
  3. Qwen3.8 Max69
Inspired by @james406
In the wild

The meme-benchmark era, as it happened

Public posts that shaped the field. Verbatim, linked, and the only primary sources on this website.

I now think @xAI has a chance of reaching AGI with @Grok 5. Never thought that before.
♥ 50.4KOpen on X ↗
It's actually le gros chaton
♥ 9.3KOpen on X ↗
Me: show me a pelican riding a bicycle Astra:
♥ 4.7KOpen on X ↗
Muse Wonder is benchmaxxed. Meta says it beats the competition on the key benchmarks. On the BridgeBench lava lamp test it built a red cylinder. No glass. No lava. I've never seen a model this benchmaxxed in my life.
♥ 4.4KOpen on X ↗
98.2% of Qwen3.8 27B my ass. I got hyped and gave it a real agent job right away. Build me an FPS in three.js, 6 hours on a 3090. My most standard and default prompt that I always use. It spent the first 32K tokens on a plan without writing a single file, then shipped a black
♥ 2.2KOpen on X ↗
TIL that 1988 classic Who Framed Roger Rabbit features a pelican riding a bicycle! simonwillison.net/2026/Sep/18/th…
♥ 1.7KOpen on X ↗
Claude Haiku 5.5 just dropped and it completely fails the BridgeBench lava lamp test. No glass. No lava. Just a yellow cylinder. GPT 6 Luna built an actual lava lamp in 42.8 seconds for under a penny. Haiku took 4m 34s and cost $0.03. GPT 6 Luna is over 6x faster and 3x
♥ 1.4KOpen on X ↗
OpenAI is marketing GPT 6.1 Sol as "near-Astra intelligence for a fifth of the price." We ran it through the BridgeBench sunset ocean test. Same cost as GPT 6 Sol. Twice as slow. And it barely rendered an ocean. This isn't Astra level. It feels like GPT 6 Sol with some
♥ 1.2KOpen on X ↗
please don't be benchmaxxed please don't be benchmaxxed please don't be benchmaxxed
♥ 1KOpen on X ↗
Day-0 Qwen3.8-27B vs Qwen3.6-27B: the voxel pagoda test. Same prompt, one attempt each, single DGX Spark, both NVFP4. 3.8: 75,291 tok · 52m 56s · 23.7 tok/s (vLLM, native MTP) 3.6: 12,117 tok · 5m 13s · 38.8 tok/s (llama.cpp, DFlash K10) 3.8 thought for 160K characters before
♥ 819Open on X ↗
Wait until you see Grok 5. I think it has a shot at being true AGI. Haven’t felt that about anything before.
♥ 31.5KOpen on X ↗
Elon 1 day ago: slow down AI. Elon today: 4.8 → 4.9 → Grok 5 AGI Bro is slowing down at 1000 mph.
♥ 6.4KOpen on X ↗
introducing my new benchmark, "AI models randomly sorted on an X and Y axis"
♥ 4.7KOpen on X ↗
The French Goverment needs to STOP Le Chaton Fat before it's too late. This is the FAT takeoff we've been warned against for years!
♥ 2.4KOpen on X ↗
A lot of people think Claude and Codex are silently cutting their usage limits. Right now there's no way to prove it. So we're building UsageBench on BridgeBench. We track the 5 hour and weekly limits over time. If a lab ever cuts your limits in the background, you'll see it
♥ 2KOpen on X ↗
what in the chart crime
♥ 1.6KOpen on X ↗
Ok, so what Ilya saw was extreme benchmaxxing, which in turn prompted him to create his own company to do LLM development the proper way?! Makes sense, I sympathize with that.
♥ 1.3KOpen on X ↗
WOW! I can not find any low points to @Grok 4.20 on all of my internal benchmarks. The most important is he fully is in first principles mode and uses @Grokipedia to a maximal extent. This has made the platform far more nuanced about all new and old technologies as well as
♥ 1.2KOpen on X ↗
Mistral Large 4 just dropped and it completely fails the BridgeBench lava lamp test. No lamp. No lava. Just a blown out light. It is cheap though. $0.02 for the whole run. GPT 6.1 Sol built a working lava lamp for $0.09.
♥ 973Open on X ↗
KIMI K2.6 IS BENCHMAXED. I ran the BridgeBench lava lamp test on four models. GLM 5.1: pixel cube in a column. GPT-5.4: static bubbles. No flow. Kimi K2.6: a yellow rectangle. Claude Opus 4.7: an actual lava lamp. Chinese models ace benchmarks. Claude ships software.
♥ 787Open on X ↗
See all 69 posts →
Incident database

Trust Me Bro incidents

Documented cases of claims that outran their evidence, with timelines and sources. Also: a registry of benchmarks that did it properly.

Open the incident database →