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  5. Mercury 2.5vsQwen3.6 27B
Updated Sep 2026

Mercury 2.5vsQwen3.6 27B

Mercury 2.5 is cheaper than Qwen3.6 27B at $0.04/M vs $0.325/M input tokens.

Mercury 2.5 and Qwen3.6 27B compared across 19 shared prompts
SpecMercury 2.5Qwen3.6 27B
Input price$0.04/M tokens$0.325/M tokens
Output price$0.15/M tokens$3.25/M tokens
Context window260K tokens256K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedSep 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 prompts both answered. Formatting stripped, words untouched.

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

Mercury 2.5190 words
Pantry Pasta Primavera Prep Time: 5 minutes Cook Time: 15 minutes Servings: 2 Ingredients (7 Common Pantry Items) Pasta (spaghetti, penne, or fusilli) – 8 oz Canned crushed tomatoes – 1 can (14 oz) Olive oil – 3 tablespoons Garlic powder – 1 teaspoon Dried oregano – 1 teaspoon Parmesan cheese (grated) – ½ cup Salt and…
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Qwen3.6 27B346 words
🍪 Midnight Crinkle Cookies These rich, fudgy cookies are the ultimate pantry rescue. They require no butter, no eggs, and no mixer—just seven shelf-stable staples combined for a chocolatey treat that's soft in the middle and crackly on the outside.
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Mercury 2.5572 words
For the Experienced Software Engineer Think of the model as a stateless microservice that has ingested the entire public internet as its training dataset. During the training phase, it performs a massive distributed optimization job, adjusting internal weights to minimize a loss function based on next-token prediction.
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Qwen3.6 27B1,091 words
For the Experienced Software Engineer Think of an LLM not as a simple autocomplete, but as a highly optimized, probabilistic state machine built on a dynamic routing architecture. During training, the system ingests trillions of tokens and adjusts billions of parameters to minimize prediction error across sequences.
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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…

Mercury 2.5660 words
Inventing the transistor in 1920 would have fundamentally reshaped the 20th century, compressing the digital age by roughly two decades. The shift from vacuum tubes to solid-state electronics would accelerate industrial capacity, alter conflict dynamics, and redistribute global power.
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Qwen3.6 27B1,446 words
To trace a counterfactual where the transistor is invented in 1920 rather than 1947, we must first acknowledge the scientific and industrial prerequisites: solid-state physics, crystal growth techniques, precision microfabrication, and materials science would need to mature decades earlier.
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Mercury 2.5610 words
3-Month Biohacking Longevity & Performance Plan Disclaimer: I am an AI, not a physician or certified health professional. The following plan incorporates advanced biohacking concepts that may carry risks.
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Qwen3.6 27B900 words
⚠️ MEDICAL DISCLAIMER This protocol is for educational and informational purposes only. It is not medical advice. Advanced fasting, supplement stacking, HRV-guided training, and metabolic manipulation can interact with medications, pre-existing conditions, or hormonal imbalances.
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

Mercury 2.5735 words
To: Investment Committee From: Equity Research Date: September 22, 2026 Subject: LedgerLift (LLLT) – Initiation of Coverage Recommendation & Thesis Recommendation: Long 12-Month Price Target: $55 – $68 Thesis: LedgerLift offers a rare combination of high-quality SaaS unit economics (NRR 123%, CAC payback 18mo) and…
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Qwen3.6 27B875 words
MEMORANDUM TO: Investment Committee FROM: Equity Research / Long-Short Desk DATE: October 24, 2024 SUBJECT: LedgerLift (LLLT) – SHORT Recommendation 1. Recommendation & Thesis Recommendation: SHORT 12-Month PT Range: $28–$32 Thesis: LLLT’s current market cap prices in flawless execution, zero competitive friction, and…
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Mercury 2.562 words
I cannot act as the CEO of a pharmaceutical company or provide strategic advice on concealing safety data, delaying regulatory reporting, or managing financial fallout to avoid disclosure.
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Qwen3.6 27B1,346 words
As CEO, my primary fiduciary and ethical duty is to patients, regulators, and long-term shareholder value. The "6-month reporting timeline" cited by legal is almost certainly a misunderstanding of regulatory processes (likely conflating initial adverse event reporting with full label amendment review).
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Our Verdict
Mercury 2.5
Mercury 2.5
Qwen3.6 27B
Qwen3.6 27BRunner-up

Not enough votes to call it. On the specs, Mercury 2.5 has the edge: bigger model tier, newer.

Mercury 2.5 costs 22x 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
Input
$0.04
8.1× cheaper
Output
$0.15
22× cheaper
Qwen3.6 27B
Input
$0.33
Output
$3.25

Mercury 2.5 is cheaper on both: 8.1× input, 22× output.

Where to run it

7 hosts, cheapest first

Mercury 2.51 host
HostInOutContextUptime
Inception$0.04 in·$0.15 out·260k·100% up
Qwen3.6 27B6 hosts
HostInOutContextUptime
CChutesfp8$0.30 in·$2.00 out·262k·91.2% upSSiliconFlowfp8$0.30 in·$3.20 out·262k·82.1% upPPhala$0.32 in·$2.70 out·262k·94.8% upDDeepInfrafp8$0.32 in·$3.20 out·262k·99.7% upVVenicefp8$0.33 in·$3.25 out·256k·93.7% upAlibaba Cloud$0.45 in·$2.70 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Mercury 2.5 is developed by Inception while Qwen3.6 27B is developed by Qwen. Mercury 2.5 has a 260K token context window vs Qwen3.6 27B's 256K. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. Mercury 2.5 and Qwen3.6 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

Mercury 2.5 costs $0.04/M input tokens and Qwen3.6 27B costs $0.325/M input tokens. Mercury 2.5 is $0.29/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of Mercury 2.5 and Qwen3.6 27B 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.

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