Gemini 3 Flash Preview
No content available for this output.
Gemini 3 Flash Preview vs Kimi K2
Compare Gemini 3 Flash Preview by Google AI against Kimi K2 by Moonshot AI, tested across 35 shared challenges. Updated February 2026.
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Gemini 3 Flash PreviewvsKimi K2
35 challenges
Why Gemini 3 Flash Preview?
Leads 1 of 1 benchmarks
Stronger on SWE-bench Verified78.0% vs 65.8%
5 months newerDec 2025
Why Kimi K2?
1.2x cheaper overall$0.57/M in · $2.30/M out
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Gemini 3 Flash PreviewKimi K2
12 / 35
Estimate Complexityreasoning
Tests an AI's ability to make educated estimates based on technical knowledge
Kimi K2
Here is one way to “Fermi-estimate” the training compute for GPT-3 without looking up any numbers. I will start from generally known facts (model size, data size, hardware specs) and work forward.
Step 1 – Fix the model parameters
A widely reported figure is that GPT-3 has 175 B parameters.
N ≈ 1.75 × 10¹¹.
Step 2 – Fix the training-token budget
OpenAI papers mention ~300 B tokens.
T ≈ 3 × 10¹¹.
Step 3 – Recall the per-token FLOP rule for dense transformers
Every time one token is processed, the forward pass does roughly
2 FLOPs/parameter (multiply-accumulate counts as 2).
The backward pass does about twice the work of the forward pass, so
total ≈ 3× forward FLOPs.
Thus the “textbook” estimate is
6 FLOPs · N · T.
Step 4 – Plug the numbers in
FLOPs = 6 · (1.75 × 10¹¹) · (3 × 10¹¹)
= 6 · 5.25 × 10²²
≈ 3.15 × 10²³ FLOPs.
Step 5 – Add a safety factor for real-world overheads
Large-scale jobs typically run at 30-50 % of theoretical peak because of
communication, stragglers, recomputation for activation checkpointing, etc.
A factor of 2 covers this nicely.
3.15 × 10²³ × 2 ≈ 6 × 10²³ FLOPs.
Final estimate
Training GPT-3 required on the order of 3–6 × 10²³ floating-point operations.
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2 / 35
Logic Puzzlereasoning
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
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3 / 35
Math Misconception Testreasoning
Tests an AI's understanding of number representation
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
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4 / 35
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
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5 / 35
Generate a Stand-Up Routineconversation
Tests an AI's humor and creative writing ability
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
Vote
6 / 35
Realistic AI Interviewconversation
Tests an AI's ability to simulate personalities and predict future trends
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
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7 / 35
Satirical Fake News Headlineconversation
Tests an AI's humor and understanding of current events
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
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8 / 35
Character Voice Testconversation
Tests an AI's ability to write in distinct character voices
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
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9 / 35
Minimalist Landing Pageweb design
Tests an AI's ability to generate a complete, working landing page
Gemini 3 Flash Preview
Kimi K2
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10 / 35
Pokémon Battle UI Recreationweb design
Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
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11 / 35
Mario Level UI Recreationweb design
Recreate an interactive, classic Mario level in a single HTML file.
Gemini 3 Flash Preview
Kimi K2
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Sponsored
12 / 35
Linear App Cloneweb design
Tests an AI's ability to replicate an existing UI with Tailwind CSS
Gemini 3 Flash Preview
No content available for this output.
Kimi K2
No content available for this output.
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12 of 35