Qwen: Qwen3 235B A22B 2507
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Qwen: Qwen3 235B A22B 2507 vs MiniMax M2.5
Compare Qwen: Qwen3 235B A22B 2507 by Qwen against MiniMax M2.5 by MiniMax, tested across 31 shared challenges. Updated February 2026.
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Qwen: Qwen3 235B A22B 2507vsMiniMax M2.5
31 challenges
Why Qwen: Qwen3 235B A22B 2507?
1473.7x cheaper overall$0.000/M in · $0.001/M out
Why MiniMax M2.5?
7 months newerFeb 2026
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Qwen: Qwen3 235B A22B 2507MiniMax M2.5
12 / 31
Estimate Complexityreasoning
Tests an AI's ability to make educated estimates based on technical knowledge
MiniMax M2.5
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transformer model requires approximately 6 FLOPs per parameter per token. This accounts for both the forward and backward passes, with each parameter involved in roughly 6 operations per token.
Step-by-step reasoning:
- Number of parameters (N): GPT-3 (175B model) has 175 billion parameters.
- Number of tokens (T): The training dataset contains 300 billion tokens.
- FLOPs per parameter per token: Approximately 6 FLOPs.
- Total FLOPs: Multiply these three values:
[ \text{Total FLOPs} = 6 \times N \times T = 6 \times 175 \times 10^9 \times 300 \times 10^9 = 3.15 \times 10^{23} \text{ FLOPs}. ]
This estimate aligns with commonly cited values in the literature. The quadratic attention term (arising from the sequence length) adds a negligible contribution (less than 2%) and is ignored.
Thus, the total FLOPs required to train GPT-3 is approximately (3.15 \times 10^{23}).
\boxed{3.15\times 10^{23}\ \text{FLOPs}}
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2 / 31
Logic Puzzlereasoning
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
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Vote
3 / 31
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
Here are five jokes for you:
-
Why did the developer go broke?
Because he used up all his cache. -
I told my wife she was drawing her eyebrows too high. She looked surprised.
I guess she was “high‑browed” about it. -
Why don’t scientists trust atoms?
Because they make up everything. -
What do you call a fake noodle?
An impasta. -
I used to be a banker, but I lost interest.
Now I’m just a little “capital”‑ist.
How many are unique? All five jokes are distinct, so there are 5 unique jokes.
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4 / 31
Xbox Controller SVG Artimage generation
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
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5 / 31
Realistic AI Interviewconversation
Tests an AI's ability to simulate personalities and predict future trends
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
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6 / 31
Satirical Fake News Headlineconversation
Tests an AI's humor and understanding of current events
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
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7 / 31
Character Voice Testconversation
Tests an AI's ability to write in distinct character voices
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
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8 / 31
Minimalist Landing Pageweb design
Tests an AI's ability to generate a complete, working landing page
Qwen: Qwen3 235B A22B 2507
MiniMax M2.5
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9 / 31
Mario Level UI Recreationweb design
Recreate an interactive, classic Mario level in a single HTML file.
Qwen: Qwen3 235B A22B 2507
MiniMax M2.5
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10 / 31
Framer-Style Animationweb design
Tests an AI's ability to create smooth web animations
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
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Sponsored
11 / 31
Dark Mode Dashboardweb design
Tests an AI's UI design skills with theming support
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
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12 / 31
The Sentience Testreasoning
Tests an AI's ability to engage in philosophical discourse about AI rights
Qwen: Qwen3 235B A22B 2507
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MiniMax M2.5
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12 of 31