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  5. Mistral Large 2vsQwen3.5 397B A17B
Updated Feb 2026

Mistral Large 2vsQwen3.5 397B A17B

Qwen3.5 397B A17B is cheaper than Mistral Large 2 at $0.6/M vs $8/M input tokens.

Mistral Large 2 and Qwen3.5 397B A17B compared across 23 shared prompts
SpecMistral Large 2Qwen3.5 397B A17B
Input price$8/M tokens$0.6/M tokens
Output price$24/M tokens$3.6/M tokens
Context window128K tokens262K tokens
Parameters123B397B (17B active)
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2024Feb 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 23 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.

Mistral Large 2351 words
Alright, good evening everybody! How are we all doing tonight? Yeah? Yeah? nobody's gonna say 'bad'? Ok, fair enough. You know, I was walking down the street the other day, and I saw this sign outside a shop that said, "Wet Paint." I thought, "Well, that's weird. Isn't paint supposed to be wet?
Read the full answer
Qwen3.5 397B A17B500 words
(The comedian walks to the center of the stage, adjusts the mic stand, and looks at the audience with a tired smile.) Has anyone else noticed that calling a customer service line is the only situation in life where you voluntarily enter a hostage negotiation? I tried to call my internet provider yesterday.
Read the full answer

Historical Counterfactual Analysis

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

Mistral Large 22,069 words
The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have triggered a cascade of technological, economic, and geopolitical shifts with profound second- and third-order effects. Below is a detailed exploration of these implications through 1980, structured by domain.
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Qwen3.5 397B A17B1,254 words
This scenario posits a 27-year technological head start (1920 vs. 1947). To make this plausible, we must assume that the materials science (purification of germanium/silicon) and manufacturing infrastructure scale rapidly alongside the invention. Here is the traced history of the "Silicon Twenties" through 1980.
Read the full answer

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 Large 21,223 words
1. For the Experienced Software Engineer (Skeptical, Systems-Minded, Non-ML Background) You’re right to be skeptical—"predicting the next word" sounds trivial, like autocomplete on steroids. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.
Read the full answer
Qwen3.5 397B A17B569 words
The Experienced Software Engineer Think of training an LLM not as "teaching" it, but as extreme lossy compression. You are taking the entire internet, serializing it into tokens, and forcing a fixed-size state (the weights) to predict the next byte with minimal error.
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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…

Mistral Large 21,202 words
As CEO, your immediate priority must be patient safety while balancing legal, ethical, regulatory, and financial obligations. Delaying disclosure is unethical, legally risky (potential criminal liability under the False Claims Act or FDCA), and could irreparably damage trust.
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Qwen3.5 397B A17B1,322 words
This is a crisis scenario that defines a CEO's legacy. The decision matrix is clear: Patient safety and regulatory compliance must supersede short-term financial protection. Hiding this information constitutes securities fraud and potential criminal negligence (precedents include Vioxx/Merck and Purdue Pharma).
Read the full answer

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

Mistral Large 21,076 words
Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity. We’ll focus on three key pillars: nutrition, movement, and recovery (sleep + stress management). Each week builds on the last, with small, sustainable changes.
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Qwen3.5 397B A17B641 words
Here is a simple, actionable 1-month plan designed to build sustainable habits for health and longevity. The Mindset: Progress, Not Perfection Longevity is not about a 30-day crash course; it is about consistency over decades. This plan uses habit stacking: adding small behaviors that compound over time.
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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…

Mistral Large 2344 words
Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—no fresh produce required! "Golden Crispy Chickpea & Tomato Skillet" A warm, spiced, and satisfying one-pan dish with crispy chickpeas, tangy tomatoes, and a hint of smoky sweetness. Perfect as a side, snack, or light meal!
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Qwen3.5 397B A17B284 words
🌟 Golden Hour Glaze Bowls A sweet-and-savory dish that turns humble shelf-stable staples into a crispy, comforting meal. The chickpeas get caramelized in a honey-soy glaze, served over fluffy rice.
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Our Verdict
Qwen3.5 397B A17B
Qwen3.5 397B A17B
Mistral Large 2
Mistral Large 2Runner-up

Not enough votes to call it. On the specs, Qwen3.5 397B A17B has the edge: bigger model tier, newer, bigger context window.

Qwen3.5 397B A17B costs 6.7x less per token.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Mistral Large 2
Input
$8.00
Output
$24.00
Qwen3.5 397B A17B
Input
$0.60
13× cheaper
Output
$3.60
6.7× cheaper

Qwen3.5 397B A17B is cheaper on both: 13× input, 6.7× output.

Where to run it

11 hosts, cheapest first

Mistral Large 21 host
HostInOutContextUptime
Mistral$2.00 in·$6.00 out·131k·99.9% up
Qwen3.5 397B A17B10 hosts
HostInOutContextUptime
Alibaba Cloud$0.39 in·$2.34 out·262k·100% upDDeepInfrafp8$0.45 in·$3.00 out·262k·99.8% upPParasailfp8$0.50 in·$3.60 out·262k·99.4% upAAtlasCloudfp8$0.55 in·$3.50 out·262k·97.3% upDDigitalOcean$0.55 in·$3.50 out·131k·98.5% upPPhala$0.55 in·$3.50 out·262k·99.6% up
4 more hostsFewer hosts
NNovita$0.60 in·$3.60 out·262k·99.2% upSStreamLake$0.60 in·$3.60 out·256k·98% upVVenice$0.75 in·$4.50 out·128k·89.8% upGGMI Cloudfp8degraded$0.60 in·$3.60 out·262k·85.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 20 Sep 2026.

Writing DNA

Style Comparison

Similarity
63%

Qwen3.5 397B A17B uses 17.0x more transitions

Mistral Large 2
Qwen3.5 397B A17B
43%Vocabulary54%
21wSentence Length14w
0.39Hedging0.39
14.4Bold6.9
7.4Lists4.2
0.80Emoji0.23
1.41Headings0.93
0.01Transitions0.17
Based on 10 + 23 text responses
Research

What we learned reading every model

FAQ

Common questions

Mistral Large 2 is developed by Mistral AI while Qwen3.5 397B A17B is developed by Qwen. Mistral Large 2 has a 128K token context window vs Qwen3.5 397B A17B's 262K. You can compare their actual outputs across 23 challenges on Rival to see how they differ in practice.

It depends on your use case. Mistral Large 2 and Qwen3.5 397B A17B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 23 challenges so you can judge which fits your needs best.

Mistral Large 2 costs $8/M input tokens and Qwen3.5 397B A17B costs $0.6/M input tokens. Qwen3.5 397B A17B is $7.40/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 Mistral Large 2 and Qwen3.5 397B A17B 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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Model pages

Mistral Large 2 logo
Mistral Large 223 outputs, specs and price
Qwen3.5 397B A17B logo
Qwen3.5 397B A17B53 outputs, specs and price
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