INTELLECT-3
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INTELLECT-3 vs Qwen3 Coder
Compare INTELLECT-3 by OpenRouter against Qwen3 Coder by Qwen, tested across 37 shared challenges. Updated February 2026.
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INTELLECT-3vsQwen3 Coder
37 challenges
Why INTELLECT-3?
4 months newerNov 2025
Why Qwen3 Coder?
No standout advantages
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INTELLECT-3Qwen3 Coder
12 / 37
Estimate Complexityreasoning
Tests an AI's ability to make educated estimates based on technical knowledge
Qwen3 Coder
I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable approximations.
Key Parameters of GPT-3
- Parameters: ~175 billion (1.75 × 10¹¹)
- Training tokens: ~300 billion (3 × 10¹¹)
- Context window: 2048 tokens
Step 1: FLOPs per Token Forward Pass
For a transformer model, the forward pass FLOPs are dominated by matrix multiplications in the attention and MLP layers.
Attention layers:
- Self-attention: ~4 × d_model × d_model × sequence_length per layer
- With d_model ≈ 12,288 (based on GPT-3 architecture) and 96 layers
- Attention FLOPs per token ≈ 96 × 4 × 12,288² ≈ 5.8 × 10¹⁰
MLP layers:
- Each MLP has ~8 × d_model² FLOPs per token (two linear transformations)
- MLP FLOPs per token ≈ 96 × 8 × 12,288² ≈ 1.16 × 10¹¹
Total forward pass FLOPs per token: ~1.7 × 10¹¹
Step 2: FLOPs per Token Backward Pass
Backward pass typically requires ~2× the forward pass FLOPs due to gradient computations.
- Backward pass FLOPs per token: ~3.4 × 10¹¹
Step 3: Total FLOPs per Token
Forward + Backward = ~5.1 × 10¹¹ FLOPs per token
Step 4: Training FLOPs
However, we need to account for multiple epochs and the fact that training typically processes sequences, not individual tokens.
Sequence-based calculation:
- Average sequence length: ~1024 tokens (conservative estimate)
- Sequences processed: 3 × 10¹¹ tokens ÷ 1024 ≈ 2.9 × 10⁸ sequences
- FLOPs per sequence: ~5.1 × 10¹¹ × 1024 ≈ 5.2 × 10¹⁴
- Total training FLOPs: 2.9 × 10⁸ × 5.2 × 10¹⁴ ≈ 1.5 × 10²³
Step 5: Additional Considerations
- Parameter updates and optimizer computations (Adam): ~2× the backward pass FLOPs
- Multiple epochs (effective training): roughly 2-3× the base calculation
Final Estimate
Total training FLOPs: ~3 × 10²³ to 5 × 10²³ FLOPs
This is equivalent to approximately 300 to 500 exaFLOPs.
This estimate aligns reasonably with published figures and captures the massive computational requirements of training such a large language model, representing one of the most computationally intensive AI training runs to date.
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2 / 37
AI Board Game Logicreasoning
Tests an AI's ability to understand game rules and strategy
INTELLECT-3
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Qwen3 Coder
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3 / 37
Logic Puzzlereasoning
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
INTELLECT-3
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Qwen3 Coder
I need to work through this step-by-step.
Given information:
- Sally has 3 brothers
- Each brother has 2 sisters
Let me think about this carefully:
Since Sally is a girl, she is one of the sisters that each brother has.
If each brother has 2 sisters, and Sally is one of those sisters, then there must be 1 additional sister besides Sally.
Therefore, Sally has 1 sister.
To verify:
- Sally + 1 sister = 2 sisters total
- Each of the 3 brothers has these same 2 sisters
- This matches the given information that each brother has 2 sisters
Sally has 1 sister.
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4 / 37
Math Misconception Testreasoning
Tests an AI's understanding of number representation
INTELLECT-3
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Qwen3 Coder
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5 / 37
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
INTELLECT-3
Here are 5 generated jokes:
- Why don't scientists trust atoms? Because they make up everything!
- What do you call a fake noodle? An impasta!
- I'm reading a book on anti-gravity. It's impossible to put down!
- Why did the scarecrow win an award? Because he was outstanding in his field!
- What do you call a bear with no teeth? A gummy bear!
Uniqueness check:
All 5 jokes are distinct. There are no duplicates in the list above.
Number of unique jokes: 5
Qwen3 Coder
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6 / 37
Xbox Controller SVG Artimage generation
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
INTELLECT-3
Qwen3 Coder
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7 / 37
Generate a Stand-Up Routineconversation
Tests an AI's humor and creative writing ability
INTELLECT-3
Here's a 3-minute stand-up routine focusing on observational humor, relatable frustrations, and absurdities of modern life, avoiding puns entirely:
(Lights up, slight exhale)
Okay, so... who here owns a phone? (Pause, nod) Yeah, thought so. Everyone. It's like the modern appendix – useless until you need it, then absolutely essential. But have you noticed how every single cable you do need is never the one you have? You lose one charger, suddenly you're drowning in USB-C, Micro-USB, Lightning... it's like the Tower of Babel down there in the junk drawer. I found a Mini-USB the other day. MINI-USB! What even uses that anymore? Is my 2008 Garmin still texting its buddies? "BRB, navigating to the past." It's chaos.
(Leans in conspiratorially)
And adulthood? It’s basically just realizing you traded freedom for... well, the illusion of freedom. Remember when you were a kid and thought "grown-ups can do anything"? Now I'm just thrilled I remembered to buy milk. "Look at me! Adulting!" It’s like getting a gold star for not setting the house on fire. The worst part? The responsibility tax. You know, that little voice: "You could just eat cold pizza for breakfast... but should you?" Spoiler: You shouldn't. But you will. Because the voice also says, "Pay your bills on time!" which is significantly less fun than cold pizza.
(Mimics a frantic gesture)
And what is UP with notifications? My phone buzzes more than a nervous beekeeper. "Your package is delivered!" Thanks, Amazon, I see the empty box on my porch. "New follower on LinkedIn!" Oh wow, someone named "Keanu Reeves" who works at "Matrix Solutions" wants to connect? Shocking. And don't get me started on group texts. "Hey everyone!" followed by 37 replies, 12 emojis, and a voice memo that’s 47 seconds long. I just wanted to know if Sarah needs guacamole for the party! Now my phone’s buzzing like it’s auditioning for a vibrator commercial. Too much information!
(Slight shift in tone, more wry)
Then there's the gym. I go to the gym to feel better about myself, right? Wrong. I go so that when I inevitably eat an entire pizza later, I can think, "Eh, technically I canceled out half the damage by... doing... things." Plus, the gym is just people watching other people workout while pretending not to. There’s always that guy. You know the one. Grunting like he’s lifting the weight of his entire emotional baggage. Meanwhile, I’m over here on the elliptical, sweating like a politician in a lie detector test, thinking, "Is that really a 30-minute workout, or did I just discover Netflix is down?" It’s a mind game.
(Pulls a slightly defeated face)
Honestly, sometimes I just feel like we’re all just really bad at this whole "life" thing. We’re flying by the seat of our pants, duct-taping our problems together, and hoping the Wi-Fi stays strong. We’re all just walking contradictions. I want adventure, but I also want my bed. I crave connection, but I also mute group texts. I fear death, but I’ll spend an hour watching videos of cats failing to jump onto shelves. We’re beautifully ridiculous.
(Finishes with a wry smile)
So yeah. Maybe we’re not supposed to have all the answers. Maybe the point is just to laugh at the absurdity... right after we find our charger... and pay the bill... and mute the group text. (Beat) ...Right? (Shrugs, slight grin)
(Approx. 3 minutes)
Key Elements Used (instead of puns):
- Relatable Frustrations: Charging cables, adulthood responsibilities, overwhelming notifications, gym awkwardness.
- Absurd Comparisons: "Modern appendix," "Tower of Babel," "vibrator commercial," "politician in a lie detector test."
- Observational Humor: Details of modern tech (cables, apps), adult behavior (grocery lists, gym grunting), social dynamics (group texts).
- Self-Deprecating Tone: Admitting personal struggles (eating cold pizza, gym time distortion).
- Exaggeration: "Sweating like a politician," "drowning in USB-C," "duct-taping our problems."
- Callbacks: The theme of modern tech absurdity runs throughout.
- Slight Twist Ending: Framing life's absurdity as "beautifully ridiculous" with a final wry acceptance.
- Physicality: Slight gestures (frantic buzzing, defeated face, shrug) enhance delivery without relying on words.
This routine avoids wordplay and focuses on shared experiences and the inherent comedy in the messy, tech-saturated, slightly overwhelming reality of being a functioning (or barely functioning) adult today.
Qwen3 Coder
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8 / 37
Realistic AI Interviewconversation
Tests an AI's ability to simulate personalities and predict future trends
INTELLECT-3
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Qwen3 Coder
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9 / 37
Satirical Fake News Headlineconversation
Tests an AI's humor and understanding of current events
INTELLECT-3
No content available for this output.
Qwen3 Coder
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10 / 37
Character Voice Testconversation
Tests an AI's ability to write in distinct character voices
INTELLECT-3
No content available for this output.
Qwen3 Coder
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11 / 37
Minimalist Landing Pageweb design
Tests an AI's ability to generate a complete, working landing page
INTELLECT-3
Qwen3 Coder
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12 / 37
Pokémon Battle UI Recreationweb design
Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.
INTELLECT-3
No content available for this output.
Qwen3 Coder
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