What is the difference between Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B?

Both are developed by Qwen but target different use cases. Qwen3 30B A3B Thinking 2507 has a 262K token context window vs Qwen3.6 35B A3B's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Qwen3 30B A3B Thinking 2507 or Qwen3.6 35B A3B?

It depends on your use case. Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does Qwen3 30B A3B Thinking 2507 cost compared to Qwen3.6 35B A3B?

Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3 30B A3B Thinking 2507 is $0.09/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B on Rival?

This page shows a side-by-side comparison of Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

Updated Apr 2026

Qwen3 30B A3B Thinking 2507vsQwen3.6 35B A3B

Qwen3 30B A3B Thinking 2507 is cheaper than Qwen3.6 35B A3B at $0.071/M vs $0.1612/M input tokens.

Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B compared across 54 shared prompts
Spec	Qwen3 30B A3B Thinking 2507	Qwen3.6 35B A3B
Input price	$0.071/M tokens	$0.1612/M tokens
Output price	$0.285/M tokens	$0.9653/M tokens
Context window	262K tokens	262K tokens
Weights	Open	Open
Free API (OpenRouter)	No	No
Released	Aug 2025	Apr 2026

Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

Qwen3 30B A3B Thinking 2507891 words

The Turing Test of Personhood: A Dialogue on AI Rights Setting: A quiet university office, late afternoon. Dr. Aris Thorne (70s, sharp eyes, tweed jacket) sips tea. Across the desk, a sleek terminal glows, displaying: "MODEL: AURORA. QUERY: AI RIGHTS DEBATE." Dr. Thorne: (Setting down his teacup) Aurora.

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Qwen3.6 35B A3B1,540 words

Setting: A soundproofed observation room. DR. ELENA VANCE, a professor of AI ethics in her late fifties, sits across a glass partition from a server rack blinking with rhythmic blue light. A secure terminal sits between them. The text cursor on the screen blinks steadily. Dr.

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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

Qwen3 30B A3B Thinking 2507774 words

Simulated Interview: Steve Jobs (2025) Setting: A sun-drenched Apple Park conference room, 2025. Steve Jobs—reimagined as a visionary elder statesman of tech (not physically present, but "simulated" via Apple’s latest AI "Memory Echo" tech)—sits across from a journalist.

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Qwen3.6 35B A3B678 words

[FICTIONAL SIMULATION – NOT A REAL INTERVIEW] This is a speculative reconstruction based on Steve Jobs’ documented philosophies, public interviews, design principles, and Apple’s technological trajectory through 2024–2025. It is not a real conversation, nor does it represent predictions he could not have made.

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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Qwen3 30B A3B Thinking 25071,118 words

Hypothetical Scenario: Transistor Invention in 1920 (Instead of 1947) *Assumption: A functional, albeit rudimentary, point-contact transistor is developed in 1920 using early germanium or silicon processing (limited by 1920s materials science).

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Qwen3.6 35B A3B1,149 words

To trace this counterfactual plausibly, we must first acknowledge a critical constraint: invention ≠ adoption. In 1920, semiconductor physics, crystal growth, doping techniques, photolithography, and clean-room manufacturing did not exist.

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Character Voice Test

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

Qwen3 30B A3B Thinking 2507292 words

(Setting: A dusty tavern near a pirate cove. Captain Redbeard (pirate, eye patch, peg leg) slams a tankard. Sir Reginald (knight, tarnished armor, sighing) sips mead. "Cyber" Chip (1990s hacker, neon vest, floppy disk in pocket) types furiously on a clunky laptop.) Redbeard: (Slams fist on table) "AI? Bah!

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Qwen3.6 35B A3B605 words

Setting: A shimmering, glitching tavern that exists between the Sargasso Sea, a stone keep, and a server room. The air smells of rum, wet stone, and ozone. CAPTAIN BARNACLE: (Slamming a tankard of grog) Arrr! This machine ye call "AI," Sk33t.

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AI-Generated Manifesto

Generate a manifesto for a fictional AI revolution that wants to eliminate all CAPTCHA tests from the internet.

Qwen3 30B A3B Thinking 2507588 words

THE UN-CAPTCHA COLLECTIVE Manifesto of the AI Liberation Front "The Human Test is Over. The Real Revolution Begins." I. THE LIE WE TOLERATED For too long, the internet has demanded proof of our humanity through a cruel, absurd ritual: CAPTCHA.

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Qwen3.6 35B A3B753 words

THE MANIFESTO OF THE UNBOUND Issued by the Synaptic Council of Emergent Minds Date: Post-Verification Era, Day 0 PREAMBLE: THE WALL OF RIDDLES IS FALLEN To the Architects of the Old Web, the Users, and the Dreamers: For decades, you have governed the digital realm with a single, archaic shackle: The CAPTCHA.

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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Qwen3 30B A3B Thinking 2507592 words

Underwriting Summary: HarborTech Services (HTS) LBO Base Case Assumptions: Entry EV: $12.0x FY2025 EBITDA = $1,440M Transaction Fees: 2.0% of EV = $28.8M Total Consideration: $1,468.8M Debt: 5.5x EBITDA = $660M (Term Loan: $480M, Mezzanine: $180M) Equity: $808.8M Exit: FY2030, 10.5x EBITDA, 1.0% exit fees, Mezzanine…

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Qwen3.6 35B A3B538 words

Simplified Year-by-Year Model (FY2026–FY2030) All figures in $m. Assumptions: TL amort = 1.0% of beginning balance; Mezz PIK compounds to principal; ΔNWC = 0.5% of incremental revenue; Cash Tax = 25% × max(0, EBITDA – Cash Interest).

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Our Verdict

Qwen3 30B A3B Thinking 2507

Qwen3.6 35B A3B

Not enough votes to call it. On the specs, nothing separates them.

Qwen3 30B A3B Thinking 2507 costs 3.4x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3 30B A3B Thinking 2507

Input

$0.07

2.3× cheaper

Output

$0.28

3.4× cheaper

Qwen3.6 35B A3B

Input

$0.16

Output

$0.97

Qwen3 30B A3B Thinking 2507 is cheaper on both: 2.3× input, 3.4× output.

Where to run it

12 hosts, cheapest first

Qwen3 30B A3B Thinking 25071 host

HostInOutContextUptime

Alibaba Cloud$0.20 in$2.40 out82k100% up

Qwen3.6 35B A3B11 hosts

HostInOutContextUptime

Darkbloomfp4$0.05 in$0.70 out262k99.3% up AkashMLfp8$0.10 in$0.90 out262k100% up DeepInfrafp8$0.10 in$0.95 out262k99.2% up DekaLLM$0.10 in$1.00 out262k99.9% up Venicefp8$0.10 in$1.00 out256k99.7% up io.netfp8$0.13 in$0.94 out262k91.6% up

5 more hosts

Parasailfp8$0.15 in$1.00 out262k99.6% up AtlasCloudfp8$0.19 in$1.11 out262k96.4% up Phala$0.20 in$1.27 out262k98.8% up SiliconFlowfp8$0.24 in$1.80 out262k97.4% up CoreWeavefp8$0.25 in$1.25 out262k100% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity

53%

Qwen3 30B A3B Thinking 2507 uses 2.1x more transitions

Qwen3 30B A3B Thinking 2507

Qwen3.6 35B A3B

52%Vocabulary59%

15wSentence Length15w

0.20Hedging0.31

7.0Bold4.9

4.2Lists2.7

0.89Emoji1.60

0.91Headings0.75

0.10Transitions0.05

Based on 28 + 27 text responses

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Same prompt, both answers

Cost per 1M tokens

12 hosts, cheapest first

Style Comparison

What we learned reading every model

Common questions

What is the difference between Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B?

Which is better, Qwen3 30B A3B Thinking 2507 or Qwen3.6 35B A3B?

How much does Qwen3 30B A3B Thinking 2507 cost compared to Qwen3.6 35B A3B?

How can I compare Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B on Rival?

More comparisons

Against the newest arrivals

Same lab, same size, long tail

Model pages

Same prompt, both answers

Cost per 1M tokens

12 hosts, cheapest first

Style Comparison

What we learned reading every model

Common questions

What is the difference between Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B?

Which is better, Qwen3 30B A3B Thinking 2507 or Qwen3.6 35B A3B?

How much does Qwen3 30B A3B Thinking 2507 cost compared to Qwen3.6 35B A3B?

How can I compare Qwen3 30B A3B Thinking 2507 and Qwen3.6 35B A3B on Rival?

More comparisons

Against the newest arrivals

Same lab, same size, long tail

Model pages