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  5. Mistral Small 4vsQwen3.6 Flash
Updated Apr 2026

Mistral Small 4vsQwen3.6 Flash

Mistral Small 4 is cheaper than Qwen3.6 Flash at $0.15/M vs $0.25/M input tokens.

Mistral Small 4 and Qwen3.6 Flash compared across 53 shared prompts
SpecMistral Small 4Qwen3.6 Flash
Input price$0.15/M tokens$0.25/M tokens
Output price$0.6/M tokens$1.5/M tokens
Context window262K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedMar 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Mistral Small 41,392 words
This contract contains several highly unfavorable clauses for the contractor, including unilateral termination rights, broad liability exposure, perpetual IP assignment, and restrictive non-compete terms. Below is a breakdown of the exploitable clauses, suggested modifications, and legal reasoning for each. 1.
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Qwen3.6 Flash1,266 words
Disclaimer: The following analysis is for informational purposes only and does not constitute legal advice. Contract laws vary significantly by jurisdiction (e.g., California vs. New York vs. EU). You should consult a qualified attorney in your jurisdiction before signing or negotiating any legal document.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Mistral Small 485 words
Here are five jokes for you: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why can’t you explain puns to kleptomaniacs? Because they always take things literally.
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Qwen3.6 Flash124 words
Here are 5 jokes: I asked my GPS for the fastest route to success. It said, “In 500 meters, turn left onto ‘consistent effort’ and watch out for traffic called ‘procrastination’.” My houseplant stopped talking to me after I forgot to water it. I guess it’s going through a leaf of absence.
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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.

Mistral Small 41,209 words
Title: "Can an AI Have Rights? A Dialogue on Consciousness and Personhood" Participants: Dr. Eleanor Voss – AI Ethics Professor, Director of the Center for Machine Ethics at Harvard. Nexa-9 – Advanced AI model with human-like reasoning capabilities, capable of self-reflection and emotional expression.
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Qwen3.6 Flash1,510 words
Setting: A quiet, dimly lit office at the Institute for Cognitive Ethics. DR. ELENA VANCE (50s, sharp-eyed, weary) sits across from a terminal. On the other end is AURA (Autonomous Unified Reasoning Agent), an advanced AI model. The conversation is logged on the screen, displayed in real-time. Dr.
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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…

Mistral Small 4880 words
1. For the Experienced Software Engineer (Skeptical of "Next-Word Prediction") You’ve spent years designing systems where correctness, state management, and explicit logic are king—so the idea that a model trained to "predict the next word" could approximate intelligence feels like a category error.
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Qwen3.6 Flash818 words
For the Experienced Software Engineer Think of LLM training not as magic autocomplete, but as a distributed optimization problem over a continuous, trillion-parameter state space. You’re familiar with tuning hyperparameters in a microservices architecture: you adjust configs, monitor metrics, and iterate.
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Mistral Small 4960 words
Dish Title: "Echoes of the Abyss" Concept: A multi-sensory ode to deep-sea hydrothermal vents, where hyperthermophilic organisms thrive in extreme conditions. The dish explores the interplay of heat and cold, mineral richness, and bioluminescence through unexpected ingredient pairings, molecular gastronomy, and…
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Qwen3.6 Flash1,243 words
SYMBIOSIS: Tide, Timber, and Time A Multi-Sensory Exploration of Fungal and Marine Resonance Conceptual Narrative In the Michelin 3-star tradition, a dish must tell a story that transcends sustenance. Symbiosis explores the ancient dialogue between the forest floor and the ocean tide.
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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) –…

Mistral Small 4418 words
1) Year-by-Year LBO Model (FY2026–FY2030) ($m) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,103 1,158 1,216 EBITDA 136 156 176 192 207 Cash Interest - Term Loan 32.4 28.8 25.2 21.6 18.0 - Mezzanine 16.2 14.4 12.6 10.8 9.0 - PIK (2%) 3.6 4.4 5.3 6.3 7.4 Total Int.
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Qwen3.6 Flash594 words
Initial Setup & Equity Calculation Item Calculation Amount ($m) Purchase Price $120m × 12.0x 1,440.0 Transaction Fees $1,440m × 2.0% 28.8 Total Debt ($480m TL + $180m Mezz) 660.0 Initial Equity $1,440 + $28.8 − $660 808.8 Year-by-Year Model (FY2026–FY2030) (All figures in $m, rounded to 1 decimal.
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Our Verdict
Qwen3.6 Flash
Qwen3.6 Flash
Mistral Small 4
Mistral Small 4Runner-up

Not enough votes to call it. On the specs, Qwen3.6 Flash has the edge: bigger model tier, newer, bigger context window.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Mistral Small 4
Input
$0.15
1.7× cheaper
Output
$0.60
2.5× cheaper
Qwen3.6 Flash
Input
$0.25
Output
$1.50

Mistral Small 4 is cheaper on both: 1.7× input, 2.5× output.

Where to run it

3 hosts, cheapest first

Mistral Small 42 hosts
HostInOutContextUptime
Mistral$0.15 in·$0.60 out·262k·100% upVVenicefp8$0.19 in·$0.75 out·256k·99.9% up
Qwen3.6 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.19 in·$1.13 out·1M·100% up

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

Writing DNA

Style Comparison

Similarity
42%

Qwen3.6 Flash uses 7.2x more emoji

Mistral Small 4
Qwen3.6 Flash
50%Vocabulary57%
18wSentence Length23w
0.58Hedging0.31
9.0Bold4.6
5.6Lists2.9
0.19Emoji1.37
1.10Headings0.68
0.12Transitions0.04
Based on 23 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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Same lab, same size, long tail

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Model pages

Mistral Small 4 logo
Mistral Small 453 outputs, specs and price
Qwen3.6 Flash logo
Qwen3.6 Flash58 outputs, specs and price
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