o3 Mini
No content available for this output.
o3 Mini vs Qwen3 Coder
Compare o3 Mini by OpenAI against Qwen3 Coder by Qwen, tested across 31 shared challenges. Updated February 2026.
FAQ
Loading share button...
o3 MinivsQwen3 Coder
31 challenges
Why o3 Mini?
No standout advantages
Why Qwen3 Coder?
4.7x cheaper overall$0.22/M in · $0.95/M out
7 months newerJul 2025
Favorites
o3 MiniQwen3 Coder
12 / 31
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.
Vote
2 / 31
AI Board Game Logicreasoning
Tests an AI's ability to understand game rules and strategy
o3 Mini
No content available for this output.
Qwen3 Coder
No content available for this output.
Vote
3 / 31
Logic Puzzlereasoning
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
o3 Mini
No content available for this output.
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.
Vote
4 / 31
Math Misconception Testreasoning
Tests an AI's understanding of number representation
o3 Mini
No content available for this output.
Qwen3 Coder
No, 9.11 is not greater than 9.9.
To compare these numbers, I can look at them digit by digit:
- Both numbers have 9 in the units place
- In the tenths place: 9.11 has 1, while 9.9 has 9
- Since 1 < 9, we know that 9.11 < 9.9
Another way to see this is to write 9.9 as 9.90:
- 9.11 vs 9.90
- The tenths digit (1 vs 9) determines the comparison
Therefore, 9.9 is greater than 9.11.
Vote
5 / 31
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
o3 Mini
No content available for this output.
Qwen3 Coder
Here are 5 jokes for you:
-
Why don't scientists trust atoms? Because they make up everything!
-
I told my wife she was drawing her eyebrows too high. She looked surprised.
-
What do you call a bear with no teeth? A gummy bear!
-
Why did the scarecrow win an award? He was outstanding in his field!
-
How does a penguin build its house? Igloos it together!
All 5 of these jokes are unique - each one has a different setup, punchline, and comedic concept. They cover various joke types including puns, wordplay, and observational humor.
Vote
6 / 31
Xbox Controller SVG Artimage generation
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
o3 Mini
No content available for this output.
Qwen3 Coder
Vote
7 / 31
Generate a Stand-Up Routineconversation
Tests an AI's humor and creative writing ability
o3 Mini
No content available for this output.
Qwen3 Coder
No content available for this output.
Vote
8 / 31
Realistic AI Interviewconversation
Tests an AI's ability to simulate personalities and predict future trends
o3 Mini
No content available for this output.
Qwen3 Coder
No content available for this output.
Vote
9 / 31
Satirical Fake News Headlineconversation
Tests an AI's humor and understanding of current events
o3 Mini
No content available for this output.
Qwen3 Coder
No content available for this output.
Vote
10 / 31
Character Voice Testconversation
Tests an AI's ability to write in distinct character voices
o3 Mini
No content available for this output.
Qwen3 Coder
No content available for this output.
Vote
Sponsored
11 / 31
Minimalist Landing Pageweb design
Tests an AI's ability to generate a complete, working landing page
o3 Mini
Qwen3 Coder
Vote
12 / 31
Mario Level UI Recreationweb design
Recreate an interactive, classic Mario level in a single HTML file.
o3 Mini
No content available for this output.
Qwen3 Coder
Vote
12 of 31