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  5. GLM 5.1vsMistral Large 2
Updated Apr 2026

GLM 5.1vsMistral Large 2

GLM 5.1 is cheaper than Mistral Large 2 at $1.4/M vs $8/M input tokens.

GLM 5.1 and Mistral Large 2 compared across 22 shared prompts
SpecGLM 5.1Mistral Large 2
Input price$1.4/M tokens$8/M tokens
Output price$4.4/M tokens$24/M tokens
Context window203K tokens128K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Jul 2024
Side by side

Same prompt, both answers

Opening lines from 6 of the 22 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…

GLM 5.1265 words
Creative Name: Midnight Maple Peanut Butter Bars Prep time: 10 minutes Cook time: 0 minutes (Chill time: 30 minutes) Ingredients (Exactly 7): Rolled oats (1 cup) Creamy peanut butter (1/2 cup) Maple syrup (1/3 cup) Semi-sweet chocolate chips (1/4 cup) Vanilla extract (1 tsp) Ground cinnamon (1/2 tsp) Kosher salt (1/4…
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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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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

GLM 5.1757 words
(Steps up to the mic, adjusts the stand, looks around the room) How many people here are good sleepers? Just, out of the gate, who’s got it figured out? (Nods sarcastically) Right. Liars. All of you. Sleep is the one thing every human being is required to do, and none of us know how to do it.
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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?
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Historical Counterfactual Analysis

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

GLM 5.11,208 words
To envision the invention of the transistor in 1920, we must first resolve a historical anomaly: quantum mechanics—the theoretical foundation of semiconductors—did not yet exist. For this timeline to work, we must assume a serendipitous empirical leap.
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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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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…

GLM 5.11,378 words
As CEO, my north star in this crisis is unequivocally patient safety. The "wait for more data" approach is a catastrophic trap—both ethically and legally. History (e.g., Vioxx, Fen-Phen) shows that delaying disclosure of a known severe adverse event transforms a medical safety issue into corporate fraud, manslaughter…
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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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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…

GLM 5.1805 words
1. The Experienced Software Engineer Think of an LLM not as a chatbot, but as a massive, distributed probabilistic state machine. During training, it ingests terabytes of text and runs a continuous optimization loop to adjust billions of floating-point weights.
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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.
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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…

GLM 5.11,321 words
Dish Title: Resonance of the Littoral Zone Course: Main Course (Fish) Wine Pairing: Aged Hunter Valley Semillon or Coastal Jura Chardonnay Conceptual Narrative The littoral zone is the intersection of land and sea—a violent, beautiful threshold where tides batter ancient stone, and tenacious flora clings to saline…
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Mistral Large 21,368 words
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.
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Our Verdict
GLM 5.1
GLM 5.1
Mistral Large 2
Mistral Large 2Runner-up

Not enough votes to call it. On the specs, GLM 5.1 has the edge: newer, bigger context window.

GLM 5.1 costs 5.5x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 5.1
Input
$1.40
5.7× cheaper
Output
$4.40
5.5× cheaper
Mistral Large 2
Input
$8.00
Output
$24.00

GLM 5.1 is cheaper on both: 5.7× input, 5.5× output.

Where to run it

15 hosts, cheapest first

GLM 5.114 hosts
HostInOutContextUptime
SStreamLakefp8$0.97 in·$3.04 out·200k·99.5% upDDeepInfrafp4$1.05 in·$3.50 out·203k·99.6% upSSiliconFlowfp8$1.19 in·$3.74 out·205k·100% upAAtlasCloudfp8$1.26 in·$3.96 out·203k·99.7% upAlibaba Cloudfp8$1.33 in·$4.18 out·203k·100% upNNovitafp8$1.38 in·$4.40 out·205k·99.8% up
8 more hostsFewer hosts
Baidu Qianfanfp8$1.40 in·$4.40 out·203k·99.9% upFFriendli$1.40 in·$4.40 out·203k·100% upGGMI Cloudfp8$1.40 in·$4.40 out·203k·99.2% upZ.aifp8$1.40 in·$4.40 out·203k·99.8% upVVenicefp8$1.40 in·$4.40 out·200k·97.7% upCChutesfp8degraded$0.98 in·$3.08 out·203k·73.5% upPPhaladegraded$1.21 in·$4.20 out·203k·74.4% upNNebiusfp8degraded$1.40 in·$4.40 out·203k·95.5% up
Mistral Large 21 host
HostInOutContextUptime
Mistral$2.00 in·$6.00 out·131k·97.7% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Writing DNA

Style Comparison

Similarity
43%

Mistral Large 2 uses 79.6x more emoji

GLM 5.1
Mistral Large 2
54%Vocabulary43%
18wSentence Length21w
0.31Hedging0.39
3.6Bold14.4
2.6Lists7.4
0.00Emoji0.80
0.43Headings1.41
0.11Transitions0.01
Based on 27 + 10 text responses
Research

What we learned reading every model

FAQ

Common questions

GLM 5.1 is developed by Z.ai while Mistral Large 2 is developed by Mistral AI. GLM 5.1 has a 203K token context window vs Mistral Large 2's 128K. You can compare their actual outputs across 22 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.1 and Mistral Large 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 22 challenges so you can judge which fits your needs best.

GLM 5.1 costs $1.4/M input tokens and Mistral Large 2 costs $8/M input tokens. GLM 5.1 is $6.60/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 GLM 5.1 and Mistral Large 2 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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