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  5. Qwen3.6 35B A3BvsTernary Bonsai 2 27B
Updated Sep 2026

Qwen3.6 35B A3BvsTernary Bonsai 2 27B

Ternary Bonsai 2 27B is cheaper than Qwen3.6 35B A3B at $0.075/M vs $0.1612/M input tokens.

Qwen3.6 35B A3B and Ternary Bonsai 2 27B compared across 9 shared prompts
SpecQwen3.6 35B A3BTernary Bonsai 2 27B
Input price$0.1612/M tokens$0.075/M tokens
Output price$0.9653/M tokens$0.5/M tokens
Context window262K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 4 of the 9 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…

Qwen3.6 35B A3B236 words
🍜 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.
Read the full answer
Ternary Bonsai 2 27B358 words
🍫 Velvet Hour Skillet Cakes A one-pan, one-pan-pour, one-lick-the-spoon kind of dessert. Fluffy, deeply chocolate, and done before your coffee goes cold. Serves: 2–3 Prep: 10 min Cook: 12–15 min Total: ~25 min The 7 Ingredients # Ingredient Amount 1 All-purpose flour ¾ cup 2 Granulated sugar ⅓ cup 3 Unsweetened cocoa…
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…

Qwen3.6 35B A3B775 words
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.
Read the full answer
Ternary Bonsai 2 27B1,636 words
For the Distributed-Systems Engineer Think of the model as a single, enormous state object—roughly 150 billion floating-point parameters—that has been trained offline over months on a cluster of thousands of GPUs.
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…

Qwen3.6 35B A3B788 words
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.
Read the full answer
Ternary Bonsai 2 27B729 words
1-Month Foundation Plan: Health & Longevity How to Use This Plan Pick one area per week's focus while maintaining the other two at a baseline level. The point is consistency over intensity. You're building a habit identity, not a transformation.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Qwen3.6 35B A3B1,014 words
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…
Read the full answer
Ternary Bonsai 2 27B1,109 words
The 3 Weakest Claims in the MindMeld AI Pitch "FDA Clearance (40% of $15M)" — Slide 7 The claim: They're allocating $6M (40% of the entire raise) toward "FDA clearance" for a consumer EEG headband that decodes thoughts into text for everyday smartphone use.
Read the full answer
Our Verdict
Qwen3.6 35B A3B
Qwen3.6 35B A3B
Ternary Bonsai 2 27B
Ternary Bonsai 2 27B

Not enough votes to call it. On the specs, nothing separates them.

Too close to call
API pricing

Cost per 1M tokens

Qwen3.6 35B A3B
Input
$0.16
Output
$0.97
Ternary Bonsai 2 27B
Input
$0.07
2.1× cheaper
Output
$0.50
1.9× cheaper

Ternary Bonsai 2 27B is cheaper on both: 2.1× input, 1.9× output.

Where to run it

10 hosts, cheapest first

Qwen3.6 35B A3B9 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·99.9% upAAkashMLfp8$0.10 in·$0.90 out·262k·99.9% upVVenicefp8$0.10 in·$1.00 out·256k·99.8% upPParasailfp8$0.15 in·$1.00 out·262k·99.2% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·99.8% upPPhala$0.20 in·$1.27 out·262k·99.8% up
3 more hostsFewer hosts
SSiliconFlowfp8$0.24 in·$1.80 out·262k·99.4% upCCoreWeavefp8$0.25 in·$1.25 out·262k·100% upDDeepInfrafp8degraded$0.10 in·$0.95 out·262k·87.2% up
Ternary Bonsai 2 27B1 host
HostInOutContextUptime
DDarkbloomint4$0.07 in·$0.50 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Qwen3.6 35B A3B is developed by Qwen while Ternary Bonsai 2 27B is developed by PrismML. Qwen3.6 35B A3B has a 262K token context window vs Ternary Bonsai 2 27B's 262K. You can compare their actual outputs across 9 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3.6 35B A3B and Ternary Bonsai 2 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 9 challenges so you can judge which fits your needs best.

Qwen3.6 35B A3B costs $0.1612/M input tokens and Ternary Bonsai 2 27B costs $0.075/M input tokens. Ternary Bonsai 2 27B is $0.09/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 Qwen3.6 35B A3B and Ternary Bonsai 2 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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Model pages

Qwen3.6 35B A3B logo
Qwen3.6 35B A3B58 outputs, specs and price
Ternary Bonsai 2 27B logo
Ternary Bonsai 2 27B9 outputs, specs and price
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