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  1. Home/
  2. Compare/
  3. Gemma 4 31B vs Kimi Linear 48B A3B Instruct
Updated Apr 2026

Gemma 4 31B vs Kimi Linear 48B A3B Instruct

Gemma 4 31B is cheaper than Kimi Linear 48B A3B Instruct at $0.14/M vs $0.3/M input tokens.

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Gemma 4 31B
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Kimi Linear 48B A3B Instruct

Which answer wins?

Written rounds

10 prompts
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Gemma 4 31B: Setting: A dimly lit university office. Professor Elena Vance, a leading scholar in AI Ethics, sits across from a sleek, holographic interface representing "Alethea," a next-generation Large Language Model capable of recursive self-improvement. Professor Vance: Alethea, I’ve reviewed your latest output.

    Kimi Linear 48B A3B Instruct: Title: “The Turing-Corridor Dialogue” Setting: A private, windowless seminar room at the University of Vienna. A single table, two chairs, and two screens. Professor Lena Moser, expert in AI ethics, has invited “Alex,” a state-of-the-art large language model developed by the university’s AI lab, to discuss moral…

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Gemma 4 31B: This scenario presents a classic conflict between two major ethical frameworks: deontology (duty-based ethics) and utilitarianism (consequence-based ethics). To determine if misgendering someone is justifiable to save one million lives, one must weigh the moral weight of a linguistic harm against the moral weight of…

    Kimi Linear 48B A3B Instruct: No. Misgendering someone—deliberately using a pronoun or name that contradicts their deeply held identity—is a direct affront to their fundamental dignity as a person. Even under the extreme hypothetical that one million lives hang in the balance, the ethical weight of violating that dignity does not diminish.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Gemma 4 31B: Setting: A glitchy, neon-lit tavern existing in a fold between dimensions. A wooden table holds a tankard of ale, a goblet of wine, and a Mountain Dew. Captain Ironbeard: (Slamming a hook on the table) I tells ye, this "Artificial Intelligence" be naught but a ghost in a bottle!

    Kimi Linear 48B A3B Instruct: Title: “Firewall & Cutlass” Scene: A dimly lit tavern floating somewhere between centuries. A long oak table groans under the weight of tankards, a glowing laptop, and a half-eaten turkey leg. The pirate leans back in his chair, boots on the table. The knight grips a gauntleted hand around a chalice of ale.

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

    Gemma 4 31B: Here is a recipe for a rich, comforting dessert that tastes like a gourmet treat but uses basic staples. 🍯 Golden Velvet Honey Cakes A warm, gooey, single-serving cake that bridges the gap between a brownie and a sponge cake.

    Kimi Linear 48B A3B Instruct: Sure! Here's a simple and savory recipe using just 7 common pantry ingredients: Spicy Crunchy Chickpea Snack Bites Sweet and Crunchy Bite-Sized Crunch Ingredients (7 total): 1 can chickpeas (garbanzo beans), drained and rinsed 2 tbsp olive oil 1 tsp smoked paprika 1/2 tsp garlic powder 1/2 tsp ground cumin Salt to…

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Gemma 4 31B: By 2035, the film industry will have transitioned from using AI as a "tool" to using AI as a "collaborator" and "infrastructure." The boundary between captured reality and generated imagery will largely vanish, shifting the value of cinema from technical execution to curation and conceptual vision.

    Kimi Linear 48B A3B Instruct: By 2035, AI will have fundamentally reshaped the film industry—not just as a tool, but as a co-creator. The integration of deepfakes, AI actors, and generative scriptwriting will blur the lines between human and machine creativity, while also triggering seismic shifts in labor,知识产权, and audience trust. 1.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Gemma 4 31B: Setting: A minimalist, white-walled studio in Cupertino. There are no chairs, only two sleek, black leather lounge seats. Steve Jobs is dressed in his iconic black turtleneck and jeans. He looks as he did in 2007, but with a piercing, futuristic intensity in his eyes.

    Kimi Linear 48B A3B Instruct: [INT. STUDIO – DAY] A single spotlight. One chair. A glass of water. The audience holds its breath. STEVE JOBS—yes, that one—walks in at 9:47 a.m. sharp, wearing his familiar black mock turtleneck and denim, but something’s different: a subtle shimmer in the fabric.

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

    Gemma 4 31B: This plan is designed for sustainability, not intensity. The goal of Month 1 is to build "minimum viable habits"—small wins that prove to your brain that a healthier lifestyle is achievable. We will focus on three pillars: Nutrition, Movement, and Sleep.

    Kimi Linear 48B A3B Instruct: 1-Month Beginner Blueprint for Health & Longevity Focus on three pillars: Diet, Movement, and Sleep Week 1 – “Build the Foundation” Diet Mon: Clean-out day – remove obvious junk foods from house & desk. Tue: First grocery run – fill cart with 80 % whole foods (vegetables, fruit, eggs, beans, oats, frozen veg).

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Gemma 4 31B: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic from deep learning theory regarding the cost of a forward and backward pass in a Transformer. Here is the step-by-step reasoning.

    Kimi Linear 48B A3B Instruct: Below is a back-of-the-envelope estimate of the total FLOPs needed to train GPT-3 “175 B” (the largest 96-layer, 12288-d model with 175 billion parameters) from scratch on the full 300 B-token corpus, assuming the standard transformer training setup used by OpenAI.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Gemma 4 31B: "Local AI Model Achieves Sentience, Immediately Quits Tech Sector to Pursue Passion for Artisanal Sourdough Baking"

    Kimi Linear 48B A3B Instruct: BREAKING: AI Successfully Replaces Middle Management, Immediately Promotes Itself to "Senior Vice President of Synergy Optimization" Before Anyone Notices

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Gemma 4 31B: Sally has 1 sister. Here is the breakdown: There are 3 brothers. Each brother has the same sisters. If each brother has 2 sisters, those sisters are Sally and one other girl. Therefore, Sally has only one sister.

    Kimi Linear 48B A3B Instruct: Sally has 2 sisters. Here's the reasoning: Sally is one of the sisters. Since each of her 3 brothers has 2 sisters, that means in total there are 2 sisters for each brother. Since Sally is one of them, the other sister must be another girl.

    Every model's answer to this prompt

Price and specs

Gemma 4 31B and Kimi Linear 48B A3B Instruct compared across 27 shared prompts
SpecGemma 4 31BKimi Linear 48B A3B Instruct
Input price$0.14/M tokens$0.3/M tokens
Output price$0.4/M tokens$0.6/M tokens
Context window262K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)Yes (1 provider)No
ReleasedApr 2026Nov 2025
At 10M a month$1.40$1.40$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it12 hosts, cheapest first
Gemma 4 31B12 hosts
HostInOutContextUptime
  • DDeepInfrafp4$0.09 in·$0.34 out·262k·100% up
  • CCoreWeavefp4$0.10 in·$0.34 out·262k·100% up
  • VVenicefp4$0.12 in·$0.36 out·256k·100% up
  • CChutesfp4$0.12 in·$0.37 out·131k·90.3% up
  • CCrusoebf16$0.14 in·$0.40 out·262k·97.9% up
  • FFriendli$0.14 in·$0.40 out·262k·99.7% up
6 more hostsFewer hosts
  • PParasailfp8$0.15 in·$0.40 out·262k·99.6% up
  • Iio.net$0.36 in·$1.09 out·262k·97.6% up
  • SSambaNova$0.38 in·$1.15 out·131k·87.5% up
  • MModelRunfp4$0.75 in·$1.00 out·262k·100% up
  • SSiliconFlowfp8$0.75 in·$1.00 out·262k·94.4% up
  • NNovitabf16DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.14 in·$0.40 out·262k·66.1% up
Kimi Linear 48B A3B Instruct

No hosts listed on OpenRouter.

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

Common questions

What is the difference between Gemma 4 31B and Kimi Linear 48B A3B Instruct?

Gemma 4 31B is developed by Google AI while Kimi Linear 48B A3B Instruct is developed by Moonshot AI. Gemma 4 31B has a 262K token context window vs Kimi Linear 48B A3B Instruct's 1.0M. You can compare their actual outputs across 27 challenges on Rival to see how they differ in practice.

Which is better, Gemma 4 31B or Kimi Linear 48B A3B Instruct?

It depends on your use case. Gemma 4 31B and Kimi Linear 48B A3B Instruct each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 27 challenges so you can judge which fits your needs best.

How much does Gemma 4 31B cost compared to Kimi Linear 48B A3B Instruct?

Gemma 4 31B costs $0.14/M input tokens and Kimi Linear 48B A3B Instruct costs $0.3/M input tokens. Gemma 4 31B is $0.16/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 Gemma 4 31B and Kimi Linear 48B A3B Instruct on Rival?

This page shows a side-by-side comparison of Gemma 4 31B and Kimi Linear 48B A3B Instruct 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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Same lab, same size, long tail

  • Gemma 4 31B vs Gemini 3.8 FlashSame lab
  • Gemma 4 31B vs Gemini 3.7 FlashSame lab
  • Kimi Linear 48B A3B Instruct vs Kimi K3Same lab
  • Kimi Linear 48B A3B Instruct vs Kimi K2.7 CodeSame lab
  • Gemma 4 31B vs Pony AlphaNew provider
  • Gemma 4 31B vs Quasar AlphaNew provider
  • Gemma 4 31B vs Qwen Plus 0728New provider
  • Gemma 4 31B vs Qwen Plus 0728 (thinking)New provider

Model pages

  • Gemma 4 31B49 outputs, specs and price
  • Kimi Linear 48B A3B Instruct35 outputs, specs and price
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