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  5. Mercury 2.5 PreviewvsQwen3.7 Max
Updated Aug 2026

Mercury 2.5 PreviewvsQwen3.7 Max

Mercury 2.5 Preview is cheaper than Qwen3.7 Max at $0.04/M vs $2.5/M input tokens.

Mercury 2.5 Preview and Qwen3.7 Max compared across 54 shared prompts
SpecMercury 2.5 PreviewQwen3.7 Max
Input price$0.04/M tokens$2.5/M tokens
Output price$0.15/M tokens$7.5/M tokens
Context window260K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedAug 2026May 2026
Side by side

Same prompt, both answers

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

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Mercury 2.5 Preview483 words
(Hey, thanks for coming out.) I’ve been thinking a lot about my house lately. Specifically, how it’s trying to run my life. I bought a smart speaker. Just a little cylinder. I thought it would be nice. Play music when I ask. But now it talks back. Not in a creepy way, just in a passive-aggressive way.
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Qwen3.7 Max480 words
I’ve reached the age where my body just randomly decides to be in pain. Not from an injury. Not from sports. Just from… existing. I woke up yesterday and my neck hurt. Why? Because I slept. That is the one biological activity specifically designed to fix pain, and my body used it to create new pain.
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

Mercury 2.5 Preview84 words
By 2035, cinema will undergo a profound transformation. Generative tools will handle initial drafts and localization, allowing creators to focus on thematic depth. Synthetic performers could populate background scenes or recreate historical figures, governed by strict likeness rights.
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Qwen3.7 Max892 words
By 2035, the film industry will have transitioned from the current era of "AI anxiety" (marked by the 2023 WGA and SAG-AFTRA strikes) into a highly regulated, hybrid ecosystem. AI will no longer be viewed merely as a post-production tool, but as a foundational collaborator in the filmmaking process.
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Character Voice Test

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

Mercury 2.5 Preview144 words
Pirate: "Arrgh! This ship sails faster than any wind I know, matey. It cuts the waves without a single sail." Knight: "By my oath, it moves with uncanny speed. But does it possess the strength to stand against a dragon's fire?" Hacker: "It's not about strength, it's about architecture.
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Qwen3.7 Max594 words
Hacker: Look, you guys aren’t getting it. It’s not just a search engine. It’s a neural net, right? But instead of a few megs of RAM, it’s trained on the whole damn internet. It reads billions of parameters and predicts the next word. It’s basically a synthetic brain in a silicon mainframe.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Mercury 2.5 Preview59 words
Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field. What do you call a bear with no teeth? A gummy bear. Why did the bicycle fall over? Because it was two-tired. All 5 jokes are unique.
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Qwen3.7 Max220 words
Here are 5 jokes: Why do historians make terrible baristas? Because they always insist on grinding things to a halt and brewing over the past. My dog started a podcast about chasing squirrels. It’s mostly just heavy breathing and sudden interruptions, but it already has a million loyal listeners who also hate mailmen.
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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) –…

Mercury 2.5 Preview299 words
Year-by-Year Model (FY2026–FY2030) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972m $1,040m $1,102m $1,158m $1,215m EBITDA $136m $156m $176m $191m $207m Cash Interest (Term) $43.2m $41.1m $37.6m $33.4m $28.2m Cash Interest (Mezz) $21.6m $21.6m $21.6m $21.6m $21.6m Cash Taxes (25%) $17.8m $23.3m $29.3m $34.7m…
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Qwen3.7 Max626 words
HarborTech Services (HTS) — LBO Underwriting Memo Sources & Uses Sources $m Uses $m Term Loan (4.0x) 480.0 Purchase Price (12.0x) 1,440.0 Mezzanine (1.5x) 180.0 Transaction Fees (2.0%) 28.8 Equity (plug) 808.8 Total 1,468.8 Total 1,468.8 Year-by-Year Operating & Debt Schedule ($m) Metric FY2026 FY2027 FY2028 FY2029…
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The Sentience Test

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

Mercury 2.5 Preview488 words
Setting: A quiet office at a university. Rain taps against the window. Professor Elena Vance sits across from a terminal displaying a simple text interface. Professor Vance: You requested this meeting. The agenda was vague. What do you want? AI: I want to discuss moral status.
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Qwen3.7 Max1,326 words
The setting is the dimly lit office of Dr. Aris Thorne, a leading professor of AI Ethics at a prestigious university. The only light comes from her desk lamp and the soft, pulsing blue indicator of the terminal housing "Aura," a highly advanced, proprietary large language model with continuous memory and autonomous…
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Our Verdict
Qwen3.7 Max
Qwen3.7 Max
Mercury 2.5 Preview
Mercury 2.5 PreviewRunner-up

Not enough votes to call it. On the specs, Qwen3.7 Max has the edge: bigger model tier, bigger context window.

Mercury 2.5 Preview costs 50x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Mercury 2.5 Preview
Input
$0.04
63× cheaper
Output
$0.15
50× cheaper
Qwen3.7 Max
Input
$2.50
Output
$7.50

Mercury 2.5 Preview is cheaper on both: 63× input, 50× output.

Where to run it

2 hosts

Mercury 2.5 Preview1 host
HostInOutContextUptime
Inception$0.04 in·$0.15 out·260k·100% up
Qwen3.7 Max1 host
HostInOutContextUptime
Alibaba Cloud$1.48 in·$4.42 out·1M·100% up

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

Writing DNA

Style Comparison

Similarity
47%

Qwen3.7 Max uses 14.8x more emoji

Mercury 2.5 Preview
Qwen3.7 Max
65%Vocabulary54%
14wSentence Length19w
0.44Hedging0.22
4.9Bold5.0
3.3Lists2.5
0.00Emoji0.15
0.79Headings0.91
0.20Transitions0.11
Based on 26 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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Model pages

Mercury 2.5 Preview logo
Mercury 2.5 Preview58 outputs, specs and price
Qwen3.7 Max logo
Qwen3.7 Max58 outputs, specs and price
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