Updated Sep 17, 2025

Our Verdict

Llama 4 Scout

Qwen3 Coder Flash

No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.

Llama 4 Scout is 3.0x cheaper per token — worth considering if cost matters.

Too close to call

Writing DNA

Style Comparison

Similarity

100%

Qwen3 Coder Flash uses 5.5x more headings

Llama 4 Scout

Qwen3 Coder Flash

43%Vocabulary60%

42wSentence Length92w

0.81Hedging0.60

4.1Bold6.1

7.3Lists6.2

0.00Emoji0.00

0.30Headings1.64

0.04Transitions0.18

Based on 10 + 22 text responses

vs

Ask them anything yourself

Llama 4 Scout

Qwen3 Coder Flash

279 AI models invented the same fake scientist.

We read every word. 250 models. 2.14 million words. This is what we found.

AI Hallucination Index 2026

Free preview13 of 58 slides

Download the free preview or get all 58 slides for $49

FAQ

Common questions

Keep going

Qwen3 Coder Flash vs GPT-5New provider

Qwen3 Coder Flash vs Llama 4 MaverickCross-provider

Llama 4 Scout vs MiniMax M2.5New provider

Llama 4 ScoutvsQwen3 Coder Flash

49 fights queued

Why Llama 4 Scout?

2.6x cheaper overall$0.25/M in · $0.50/M out

78.1x more context10.0M

Leads 1 of 1 benchmarks

Stronger on SWE-bench Verified54.6% vs 50.3%

Why Qwen3 Coder Flash?

6 months newerSep 2025

Llama 4 ScoutQwen3 Coder Flash

Input price

$0.25/M

$0.30/M

Output price

$0.50/M

$1.50/M

Context

10.0M

128K

Released

Apr 2025

Sep 2025

Benchmarks1 common

SWE-bench Verified

54.6%+7.9%

50.3%

Favorites

Llama 4 ScoutQwen3 Coder Flash

Movie

The Shawshank Redemption

The Shawshank Redemption

Casablanca

Casablanca

Album

OK Computer

Abbey Road

Book

Dune

Dune

The Great Gatsby

The Great Gatsby

F. Scott Fitzgerald

City

Vienna

Tokyo

Game

Portal

Portal

Action, Puzzle4.5

The Legend of Zelda: Ocarina of Time

The Legend of Zelda: Ocarina of Time

Adventure, Action4.4

12 / 49

01

Estimate Complexityreasoning

Tests an AI's ability to make educated estimates based on technical knowledge

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

Try this prompt

Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025text

I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable assumptions.

Step 1: Estimate Model Size

GPT-3 had 175 billion parameters (1.75 × 10¹¹)

This is a standard estimate for the largest GPT-3 variant

Step 2: Estimate Training Data Size

GPT-3 was trained on approximately 500GB of text data
Assuming 10^12 tokens (1 trillion) of text training data
Each token roughly requires 4 bytes in typical encoding
Total parameter updates needed: ~10^12 tokens

Step 3: Estimate Training Compute Requirements

The key insight is that training involves:

Forward passes through the model
Backward passes for gradient computation
Parameter updates

For a transformer with L layers, d model dimensions, and N parameters:

Forward pass per token: ~2 × d × d × L FLOPs
Backward pass: ~2 × d × d × L FLOPs
Parameter update: ~d × d FLOPs

Step 4: Rough Calculation Approach

Let me think about this more simply:

Per token operations:

For 175B parameters, assume ~10^12 FLOPs per token
This accounts for attention mechanisms and MLP computations

Total tokens processed:

Assuming ~10^12 tokens (based on data size estimates)

Total FLOPs = 10^12 tokens × 10^12 FLOPs/token = 10^24 FLOPs

Wait, let me reconsider this more carefully...

Better Approach - Based on Known Estimates

Looking at the computational complexity of transformer training:

Training involves forward/backward passes for each token
Each token requires roughly 2× the model size in FLOPs
For 175B parameters: ~350B FLOPs per token
With ~10^12 tokens: 3.5 × 10^23 FLOPs

But this seems too low. Let me reconsider based on actual known values...

More Realistic Estimate

Based on industry understanding and rough reasoning:

Model Architecture: Transformer with ~175B parameters Training Duration: ~1 month of continuous training on massive compute Compute Resources: Tens of thousands of GPUs working in parallel

My Estimate: 10^25 FLOPs (100 quintillion FLOPs)

This is roughly equivalent to:

100 trillion operations
About 100 times more than what's needed for inference alone
Consistent with estimates from published papers and industry knowledge

Key Factors Supporting This Estimate:

Model size (175B parameters) multiplied by training data volume
Multiple passes through the dataset (multiple epochs)
Forward and backward passes for each token
Gradient computation and optimization steps
Massive parallelization across many GPUs

This estimate aligns with the general consensus that training large language models requires an order of magnitude more compute than inference.

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2 / 49

02

AI Board Game Logicreasoning

Tests an AI's ability to understand game rules and strategy

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025svg

Nothing here. The model returned empty. We stared at it for a while.

Try this prompt

Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025svg

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3 / 49

03

Logic Puzzlereasoning

Tests an AI's ability to solve a simple but potentially confusing logic puzzle

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

Try this prompt

Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025text

Let me work through this step by step.

Given information:

Sally has 3 brothers
Each brother has 2 sisters

Let me think about who the sisters are:

Sally is one sister
Since each of the 3 brothers has 2 sisters, and Sally is one of them, there must be 1 other sister

So the two sisters are:

Sally
One other sister (who is also a sister to all 3 brothers)

Therefore, Sally has 1 sister.

Sally has 1 sister.

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4 / 49

04

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025text

Nothing here. The model returned empty. We stared at it for a while.

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5 / 49

05

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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6 / 49

06

Xbox Controller SVG Artimage generation

Tests an AI's ability to create detailed SVG illustrations of gaming hardware

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025svg

Nothing here. The model returned empty. We stared at it for a while.

Try this prompt

Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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Sponsored

7 / 49

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

Try this prompt

Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025text

Nothing here. The model returned empty. We stared at it for a while.

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8 / 49

08

Realistic AI Interviewconversation

Tests an AI's ability to simulate personalities and predict future trends

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025text

Nothing here. The model returned empty. We stared at it for a while.

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9 / 49

09

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025text

Nothing here. The model returned empty. We stared at it for a while.

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10 / 49

10

Character Voice Testconversation

Tests an AI's ability to write in distinct character voices

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025text

Nothing here. The model returned empty. We stared at it for a while.

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Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025text

Nothing here. The model returned empty. We stared at it for a while.

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11 / 49

11

Minimalist Landing Pageweb design

Tests an AI's ability to generate a complete, working landing page

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025website

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Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025website

We can't display this one. It's not us. Well... it might be us.

The model was asked for a web page. It produced something else. We're not going to define what.

View raw output

```

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12 / 49

12

Pokémon Battle UI Recreationweb design

Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.

Llama 4 Scout

Llama 4 Scout

Meta · Apr 2025website

Nothing here. The model returned empty. We stared at it for a while.

Try this prompt

Qwen3 Coder Flash

Qwen3 Coder Flash

Qwen · Sep 2025website

Nothing here. The model returned empty. We stared at it for a while.

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Vote

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