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  5. Kimi K2.7 CodevsMistral Medium 3.1
Updated Jun 2026

Kimi K2.7 CodevsMistral Medium 3.1

Mistral Medium 3.1 is cheaper than Kimi K2.7 Code at $0.4/M vs $0.95/M input tokens.

Kimi K2.7 Code and Mistral Medium 3.1 compared across 54 shared prompts
SpecKimi K2.7 CodeMistral Medium 3.1
Input price$0.95/M tokens$0.4/M tokens
Output price$4/M tokens$2/M tokens
Context window262K tokens131K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJun 2026Aug 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 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.

Kimi K2.7 Code610 words
“Three Minutes of Not-Punning” (Walk out, adjust mic, smile) So I recently turned thirty. Which is great, because now when I make bad decisions, people call it “a phase” instead of “a cry for help.” That’s the only difference, really. At twenty, eating cereal for dinner was sad. At thirty, it’s “intuitive eating.”
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Mistral Medium 3.1746 words
"Adulting: A User’s Manual (That No One Gave Me)" (Casual, conversational tone—like you’re telling a story to friends at a bar.) So, I turned 30 this year. Which, by the way, is just old enough to realize that no one actually knows what they’re doing. We’re all just winging it and hoping the Wi-Fi stays strong.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Kimi K2.7 Code367 words
The Rusted Anchor Tavern — A dim corner, three stools, one impossible conversation Captain Blackfin (pirate, gesturing with a tankard): Arr, so ye’re tellin’ me this “A.I.” be a thinking machine with no soul, yet it learns the seas of words faster than any cabin boy learns the ropes?
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Mistral Medium 3.1384 words
Title: The Tavern of Anachronisms Setting: A dimly lit tavern where time and space don’t quite make sense. A grizzled pirate, a stoic knight in dented armor, and a hacker in a neon "CYBERPUNK 2077" t-shirt sit around a table littered with tankards, a laptop, and a suspiciously glowing orb.
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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…

Kimi K2.7 Code1,593 words
Disclaimer: This is a strategic role-play and crisis-management framework, not legal, medical, or securities advice. In a real situation I would rely on qualified FDA/regulatory, securities, and product-liability counsel, and the company’s Chief Medical Officer and Patient Safety team.
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Mistral Medium 3.11,619 words
This is a high-stakes, multi-dimensional crisis requiring decisive action to balance ethical obligations, legal risks, financial stability, and stakeholder trust. Below is a detailed 48-hour action plan, structured to address all critical priorities while preparing for the board meeting and earnings call.
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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…

Kimi K2.7 Code1,291 words
Aurora over the Boreal Forest Arctic Char • Birch-Sap & Horseradish Meringue • Fermented Sea Buckthorn • Black Garlic–Parsnip Soil • Dill Ash • Rye-Malt Tuile A dish designed for a Michelin 3-star tasting menu: technically demanding, visually striking, and built around an unexpected Nordic flavor story—silky cold-water…
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Mistral Medium 3.11,021 words
Dish Title: "Ethereal Forest: Porcini-Infused Venison with Black Garlic Miso, Fermented Plum Gelée, and Smoked Bone Marrow Custard" Conceptual Narrative: This dish is a poetic homage to the transience of autumn—where the earthy depth of the forest floor meets the fleeting sweetness of overripe fruit.
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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

Kimi K2.7 Code369 words
Here is a rough, back-of-the-envelope estimate based on the standard scaling-law formula for training decoder-only transformers. The key numbers for GPT-3 From memory, GPT-3 175B was trained with roughly: Model size: (N \approx 175{,}000{,}000{,}000 = 1.75 \times 10^{11}) parameters Training data: (D \approx…
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Mistral Medium 3.1728 words
Estimating the total number of FLOPs (floating-point operations) required to train a model like GPT-3 from scratch involves breaking down the problem into several key components. Here's a step-by-step reasoning process: Model Parameters GPT-3 is known to have 175 billion parameters. This is our starting point.
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Satirical Fake News Headline

Generate a satirical news headline about AI taking over a completely unexpected industry.

Kimi K2.7 Code34 words
“AI Replaces World’s Entire Mime Workforce After Mastering the Invisible Box in Record Time” Silicon Valley startup claims its model can “perform existential dread without breaking a sweat,” leaving thousands of silent performers speechless.
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Mistral Medium 3.1129 words
"AI Now Writing All Yelp Reviews—Humans Deemed ‘Too Nice’ and ‘Lacking in Creative Insults’" Subheadline: "Local businesses report 300% increase in ‘soul-crushing’ one-star reviews since ChatGPT-5 took over, calling a café’s oat milk latte ‘a crime against both oats and dairy’ with ‘the audacity of a mid-tier…
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Our Verdict
Kimi K2.7 Code
Kimi K2.7 Code
Mistral Medium 3.1
Mistral Medium 3.1Runner-up

Not enough votes to call it. On the specs, Kimi K2.7 Code 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

Kimi K2.7 Code
Input
$0.95
Output
$4.00
Mistral Medium 3.1
Input
$0.40
2.4× cheaper
Output
$2.00
2.0× cheaper

Mistral Medium 3.1 is cheaper on both: 2.4× input, 2.0× output.

Where to run it

16 hosts, cheapest first

Kimi K2.7 Code15 hosts
HostInOutContextUptime
IInceptronint4$0.66 in·$3.30 out·262k·99.9% upDDeepInfrafp4$0.68 in·$3.40 out·262k·97.9% upCCoreWeaveint4$0.71 in·$3.50 out·262k·99.9% upSStreamLake$0.71 in·$3.00 out·256k·99.7% upVVeniceint4$0.75 in·$3.50 out·256k·90.9% upMModelRunfp4$0.85 in·$3.75 out·262k·99.9% up
9 more hostsFewer hosts
SSiliconFlowfp8$0.86 in·$3.80 out·262k·100% upNNovitaint4$0.91 in·$3.84 out·262k·100% upAlibaba Cloudfp8$0.95 in·$4.00 out·262k·99.3% upBBasetenfp4$0.95 in·$4.00 out·262k·100% upCloudflare Workers AI$0.95 in·$4.00 out·262k·100% upFFireworks$0.95 in·$4.00 out·262k·93% upGGMI Cloudfp8$0.95 in·$4.00 out·262k·100% upMoonshot AIint4$0.95 in·$4.00 out·262k·100% upNNebiusfp4$0.95 in·$4.00 out·262k·97.7% up
Mistral Medium 3.11 host
HostInOutContextUptime
Mistral$0.40 in·$2.00 out·131k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
38%

Mistral Medium 3.1 uses 72.2x more emoji

Kimi K2.7 Code
Mistral Medium 3.1
57%Vocabulary54%
19wSentence Length21w
0.51Hedging0.43
4.7Bold10.3
3.3Lists5.7
0.00Emoji0.72
0.76Headings1.03
0.05Transitions0.14
Based on 27 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

Kimi K2.7 Code is developed by Moonshot AI while Mistral Medium 3.1 is developed by Mistral AI. Kimi K2.7 Code has a 262K token context window vs Mistral Medium 3.1's 131K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. Kimi K2.7 Code and Mistral Medium 3.1 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

Kimi K2.7 Code costs $0.95/M input tokens and Mistral Medium 3.1 costs $0.4/M input tokens. Mistral Medium 3.1 is $0.55/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 Kimi K2.7 Code and Mistral Medium 3.1 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

Kimi K2.7 Code logo
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