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  1. Home/
  2. Compare/
  3. Mistral Large 2 vs Qwen3.6 35B A3B
Updated Apr 2026

Mistral Large 2 vs Qwen3.6 35B A3B

Qwen3.6 35B A3B is cheaper than Mistral Large 2 at $0.1612/M vs $8/M input tokens.

Pokémon Battle UI Recreation

Pokémon battle screen you can actually click. One HTML file.

Loading the build
Mistral Large 2
Loading the build
Qwen3.6 35B A3B

Which answer wins?

Written rounds

11 prompts
  • Three minutes of stand-up. Puns are banned.

    Mistral Large 2: 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?

    Qwen3.6 35B A3B: Title: High-Maintenance Electronics Time: Approx. 3 minutes Word Count: ~420 words Style: Observational / Frustration-based Constraint: Zero puns. (Walk to mic, adjust stand. Take a deep breath. Look tired.) I've reached that age where I'm just trying to negotiate with my own life.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Mistral Large 2: 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.

    Qwen3.6 35B A3B: 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.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Mistral Large 2: 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.

    Qwen3.6 35B A3B: For the Experienced Software Engineer Training an LLM is essentially a massively parallelized optimization job. You feed billions of text tokens into a transformer architecture, which computes a differentiable function across ~100B parameters.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Mistral Large 2: 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.

    Qwen3.6 35B A3B: Here is a simple, actionable 1-month plan designed for beginners. The focus is on consistency over intensity. For longevity, small, sustainable habits compound over time. The Golden Rule: If you miss a day, don't quit. Just get back on track the next day. Aim for progress, not perfection.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Mistral Large 2: 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.

    Qwen3.6 35B A3B: EXECUTIVE CRISIS PLAN: 48-HOUR ACTION WINDOW Core Mandate: Patient safety and regulatory compliance are non-negotiable. The legal team’s “6-month reporting” guidance is legally indefensible under FDA 21 CFR 312.32/314.80 and EMA GVP Module VI.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Mistral Large 2: This contract is heavily one-sided in favor of the Client (TechCorp Solutions Inc.) and contains multiple clauses that could be exploited, abused, or create unreasonable legal and financial risks for the Contractor.

    Qwen3.6 35B A3B: Disclaimer: I am an AI assistant, not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction (e.g., California vs. New York vs. EU).

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Mistral Large 2: Ultimate 3-Month Longevity & Biohacking Optimization Plan Designed for a high-performance biohacker seeking to maximize lifespan, cognitive function, physical performance, and metabolic resilience.

    Qwen3.6 35B A3B: ⚠️ Medical Disclaimer & Safety Protocol This plan is for informational purposes only and constitutes advanced biohacking strategies, not medical advice. Consultation Required: You must consult a physician before starting, especially regarding supplements, fasting, and exercise intensity.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Mistral Large 2: 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!

    Qwen3.6 35B A3B: 🍜 Golden Honey-Garlic Snap Noodles A quick, sticky-yet-chewy noodle dish that balances sweet, salty, and spicy flavors. It's comforting, fast, and uses ingredients you likely already have.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Mistral Large 2: Michelin 3-Star Dish: "Ocean’s Whisper & Forest’s Breath" Conceptual Narrative: This dish is a poetic dialogue between two seemingly disparate ecosystems—the ocean’s depths and the forest floor—united through texture, temperature, and memory.

    Qwen3.6 35B A3B: DISH NAME: "Ephemeral Twilight: The Forest Meets the Tide" CONCEPTUAL NARRATIVE This dish is a meditation on the liminal space where the ocean meets the ancient forest at dusk.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Mistral Large 2: Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations for why they’re problematic and concrete suggestions to strengthen them: 1.

    Qwen3.6 35B A3B: Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of why they fail scrutiny and how to fix them. The Technical Claim: "94% Accuracy" & "Any Language" on EEG Where: Slide 3 (Solution) The Claim: The headband decodes neural patterns into text with 94% accuracy and works with any…

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Mistral Large 2: Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in this architecture, along with proposed solutions and their trade-offs: 1.

    Qwen3.6 35B A3B: Here’s a systematic breakdown of the critical failure modes, race conditions, and scaling bottlenecks in this architecture, along with specific solutions and their trade-offs. 🔴 1. WebSocket Routing & Load Balancing Problem: Round-robin LB + per-server WebSocket state + no sticky sessions.

    Every model's answer to this prompt

Favorites

Movie

Album

Book

City

Same pick

Game

Mistral Large 2Mistral Large 2

The Shawshank Redemption

1994

OK Computer

Radiohead

La sombra del viento

Carlos Ruiz Zafón

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Qwen3.6 35B A3BQwen3.6 35B A3B

Blade Runner

1982

Dark Side Of The Moon

suisside

Dune

Frank Herbert

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

Mistral Large 2 and Qwen3.6 35B A3B compared across 23 shared prompts
SpecMistral Large 2Qwen3.6 35B A3B
Input price$8/M tokens$0.1612/M tokens
Output price$24/M tokens$0.9653/M tokens
Context window128K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2024Apr 2026
At 10M a month$80.00$80.00$1.61$1.61
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it11 hosts, cheapest first
Mistral Large 21 host
HostInOutContextUptime
  • Mistral$2.00 in·$6.00 out·131k·50% up
Qwen3.6 35B A3B10 hosts
HostInOutContextUptime
  • DDarkbloomfp4$0.05 in·$0.70 out·262k·100% up
  • AAkashMLfp8$0.10 in·$0.90 out·262k·100% up
  • DDeepInfrafp8$0.10 in·$0.95 out·262k·97.3% up
  • DDekaLLM$0.10 in·$1.00 out·262k·99% up
  • VVenicefp8$0.10 in·$1.00 out·256k·99.7% up
  • PParasailfp8$0.15 in·$1.00 out·262k·100% up
4 more hostsFewer hosts
  • AAtlasCloudfp8$0.19 in·$1.11 out·262k·98.9% up
  • CCoreWeavefp8$0.25 in·$1.25 out·262k·100% up
  • PPhalaDegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.20 in·$1.27 out·262k·80.3% up
  • SSiliconFlowfp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.24 in·$1.80 out·262k·83.7% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Mistral Large 2 and Qwen3.6 35B A3B?

Mistral Large 2 is developed by Mistral AI while Qwen3.6 35B A3B is developed by Qwen. Mistral Large 2 has a 128K token context window vs Qwen3.6 35B A3B's 262K. You can compare their actual outputs across 23 challenges on Rival to see how they differ in practice.

Which is better, Mistral Large 2 or Qwen3.6 35B A3B?

It depends on your use case. Mistral Large 2 and Qwen3.6 35B A3B 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.

How much does Mistral Large 2 cost compared to Qwen3.6 35B A3B?

Mistral Large 2 costs $8/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.6 35B A3B is $7.84/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 Mistral Large 2 and Qwen3.6 35B A3B on Rival?

This page shows a side-by-side comparison of Mistral Large 2 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.

More comparisons

Against the newest arrivals

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  • Mistral Large 2 vs GPT-6.1 SolLanded Sep 2026
  • Qwen3.6 35B A3B vs Claude Sonnet 5.5Landed Sep 2026
  • Mistral Large 2 vs Solar Mini 4Landed Sep 2026
  • Qwen3.6 35B A3B vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Mistral Large 2 vs Mistral Large 4Version compare
  • Mistral Large 2 vs Mistral Large 3 2512Same lab
  • Qwen3.6 35B A3B vs Qwen3.8 Omni FlashSame lab
  • Qwen3.6 35B A3B vs Qwen3.7 FlashSame lab
  • Mistral Large 2 vs Claude Sonnet 5.5Same size
  • Qwen3.6 35B A3B vs OpenAI Codex MiniSame size
  • Mistral Large 2 vs Command A+Same size
  • Qwen3.6 35B A3B vs Cypher Alpha (free)New provider

Model pages

  • Mistral Large 223 outputs, specs and price
  • Qwen3.6 35B A3B58 outputs, specs and price
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