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  1. Home
  2. Models
  3. Qwen3 Coder Next
  4. Character Voice Test

See how Qwen3 Coder Next compares on this challenge:

  • Qwen3 Coder Next vs Claude Sonnet 4.6
  • Qwen3 Coder Next vs Gemini 2.5 Flash Preview (thinking)
  • Qwen3 Coder Next vs Gemini 3.1 Pro Preview

4 models have responded to the "Character Voice Test" challenge. Compare their approaches side-by-side on RIVAL. This response is part of RIVAL's open dataset of 5,600+ AI model responses.

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Back to Qwen3 Coder Next

Character Voice Test

Qwen3 Coder Next's response to the 'Character Voice Test' challenge.

Qwen3 Coder Next
February 4, 2026
Text

?
Prompt

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Qwen3 Coder Next
Response

qwen3-coder-next logo
Qwen3 Coder NextCharacter Voice Test
qwen3-coder-next logo
Qwen3 Coder Next

Setting: A foggy dockside tavern—wooden beams, a flickering lantern, and a crackling fireplace. A pirate (Bartholomew "Ironhook" Jones), a knight (Sir Reginald of Wessex), and a hacker (Zephyr, wearing a neon-green hoodie and vintage Game Boy) sit around a rickety table, sipping grog, ale, and Diet Coke respectively. A dusty CRT monitor flickers nearby, showing a scrolling terminal.


Sir Reginald: (clanking his tankard on the table) By the Holy Code, what be this "AI model"? I saw it in the scribe’s scroll—a ghost in the machine, writing sonnets and solving riddles like a demon scribe!

Bartholomew: (grinning, polishing his hook with a rag) Ahoy, yer speakin’ of the Siren’s Song of the digital age! Heard tell it’ll nav’gate the seven seas—plot courses faster than a compass, predict storms before the barometer quivers! But tell me, lad—can it tell me where the gold’s buried?

Zephyr: (typing furiously on a beige laptop, screen glowing) Whoa—hold up. It’s not magic, guys. It’s statistical pattern completion. You feed it millions of treasure maps, storm logs, and sonnets… it guesses the next word, the next angle, the next… probability. No ghosts. Just math, man.

Sir Reginald: (frowning) Math? But where is the honor in it? If I asked my squire to draft a letter, he’d consider my tone, my intent—my soul! Does this… thing… care if I’m righteous or villainous?

Zephyr: (leans in) Nah, it’s amoral. Like a mirror. If you train it on bad data—say, pirate logs full of lies and betrayal—it’ll lie better. But if you feed it good data—medical research, poetry, ethics—it can help. It’s not smart. It’s predictive.

Bartholomew: (stroking his beard) So… if I whispered a riddle into yer laptop, Zephyr… could this model outsmart me?

Zephyr: (smirks) Try me. But fair warning—I trained mine on Pirates of the Caribbean scripts and Shakespeare. You’re gonna lose.

Sir Reginald: (stroking his sword hilt) Then let us test this… predictive spirit. (clears throat)

"I speak without a mouth, hear without ears.
I have no body, but I come alive with wind.
What am I?"

Zephyr: (types one line)
> echo "Echo"
*(screen flashes: > Correct!)

Bartholomew: (slams the table, spilling grog) Aye! The very thing! But tell me, Zephyr—can it learn loyalty? Or will it betray me for a better dataset?

Zephyr: (quietly) …All models can be tricked. But alignment—that’s the real hack. Making sure the model wants what you want. That part? Still human.

Sir Reginald: (nods slowly) Then perhaps… this AI is not a demon, nor a god… but a squire of silicon. We must train it as we would a young knight—teach it virtue, not just vectors.

Bartholomew: (raising his tankard) To training our silicon squires! May their gradients point true—and their weights be heavy with treasure!

Zephyr: (clinks his Diet Coke can) To alignment. And maybe—just maybe—not training it on all the pirate memes.

(The fire crackles. The monitor flickers. Somewhere, a model generates a haiku about⚓+🤖+⚔️.)

Character Voice Test

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This output is part of our open dataset — 5K+ AI responses across 200 models

About Qwen3 Coder Next

Capabilities

ConversationCode GenerationAgentic Tool UseTool Use

Categories

TextCode

Specifications

Provider
Qwen
Released
2026-02-04
Size
LARGE
Parameters
80B (3B active)
Context
262,144 tokens

Keep exploring

SAME PROMPT

Claude Sonnet 4.6's version

Same prompt, different result

COMPARE

Qwen3 Coder Next vs Gemini 2.5 Flash Preview (thinking)

Both outputs, side by side

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