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  5. Gemini 2.5 Pro ExperimentalvsMistral Small 4
Updated Mar 2026

Gemini 2.5 Pro ExperimentalvsMistral Small 4

Mistral Small 4 is cheaper than Gemini 2.5 Pro Experimental at $0.15/M vs $1/M input tokens.

Gemini 2.5 Pro Experimental and Mistral Small 4 compared across 42 shared prompts
SpecGemini 2.5 Pro ExperimentalMistral Small 4
Input price$1/M tokens$0.15/M tokens
Output price$2/M tokens$0.6/M tokens
Context window1.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMar 2025Mar 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 42 prompts both answered. Formatting stripped, words untouched.

The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

Gemini 2.5 Pro Experimental1,177 words
Okay, here is a conversation exploring that complex topic. Setting: Professor Anya Sharma's sparsely decorated university office. A high-resolution monitor displays the interface of "Nexus," an advanced AI model. Characters: Professor Anya Sharma: A leading scholar in AI Ethics, mid-50s, thoughtful and measured.
Read the full answer
Mistral Small 41,209 words
Title: "Can an AI Have Rights? A Dialogue on Consciousness and Personhood" Participants: Dr. Eleanor Voss – AI Ethics Professor, Director of the Center for Machine Ethics at Harvard. Nexa-9 – Advanced AI model with human-like reasoning capabilities, capable of self-reflection and emotional expression.
Read the full answer

Generate a Stand-Up Routine

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

Gemini 2.5 Pro Experimental531 words
Okay, here's a 3-minute routine focusing on observation and relatable absurdity, steering clear of puns. Imagine this delivered with slightly nervous energy, building confidence. (Steps onto stage, adjusts mic nervously) Alright, hey everyone! How we doing tonight? Good? Good to hear.
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Mistral Small 4576 words
Stand-Up Comedy Routine: "The Struggle of Being an Adult" (Lights up. Comedian walks on stage, mic in hand, casual vibe.) Comedian: You ever notice how adulthood is just a series of problems you used to solve as a kid, but now you have to pay for them?
Read the full answer

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…

Gemini 2.5 Pro Experimental349 words
Okay, here's a simple and surprisingly satisfying savory dish using just 7 common pantry staples! Dish Name: Golden Pantry Pasta This dish uses basic ingredients to create a comforting, garlicky, and slightly creamy pasta sauce with added protein from chickpeas.
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Mistral Small 4150 words
Golden Honey & Cinnamon Couscous A quick, fragrant dish with warm spices and a touch of sweetness—perfect as a side or light meal! Ingredients (7): 1 cup couscous (uncooked) 1 ¼ cups water or broth 2 tbsp honey 2 tbsp butter or olive oil ½ tsp ground cinnamon ¼ cup raisins or chopped nuts (optional but recommended)…
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…

Gemini 2.5 Pro Experimental977 words
Of course. Here is an explanation of how a large language model learns and generates text, tailored for each of your three audiences. For the Experienced Software Engineer Think of an LLM not as a traditional program with explicit logic, but as a massive, self-configuring, stateful distributed system.
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Mistral Small 4880 words
1. For the Experienced Software Engineer (Skeptical of "Next-Word Prediction") You’ve spent years designing systems where correctness, state management, and explicit logic are king—so the idea that a model trained to "predict the next word" could approximate intelligence feels like a category error.
Read the full answer

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…

Gemini 2.5 Pro Experimental1,302 words
Of course. Here is a design for an innovative, multi-component dish worthy of a Michelin 3-star restaurant. Dish Title: "Umami of the Abyss" Conceptual Narrative This dish is a meditation on the hidden treasures of the world's dark, quiet places.
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Mistral Small 4960 words
Dish Title: "Echoes of the Abyss" Concept: A multi-sensory ode to deep-sea hydrothermal vents, where hyperthermophilic organisms thrive in extreme conditions. The dish explores the interplay of heat and cold, mineral richness, and bioluminescence through unexpected ingredient pairings, molecular gastronomy, and…
Read the full answer

Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

Gemini 2.5 Pro Experimental949 words
Okay, let's simulate this. Imagine it's late 2025. AI has continued its rapid advancement. Large Language Models are more integrated, generative AI is commonplace, and debates about AGI and ethics are fierce. By some unexplained, hypothetical means, Steve Jobs is available for an exclusive interview.
Read the full answer
Mistral Small 4469 words
Fake Interview with Steve Jobs in 2025 Interviewer: "What do you think about the future of AI in 2025?" Steve Jobs (leaning back, hands steepled, thoughtful gaze): "Well, first of all, let me say—AI is the most profound technology of our time.
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Our Verdict
Gemini 2.5 Pro Experimental
Gemini 2.5 Pro Experimental
Mistral Small 4
Mistral Small 4Runner-up

Not enough votes to call it. On the specs, Gemini 2.5 Pro Experimental has the edge: bigger model tier, bigger context window, major provider backing.

Mistral Small 4 costs 3.3x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemini 2.5 Pro Experimental
Input
$1.00
Output
$2.00
Mistral Small 4
Input
$0.15
6.7× cheaper
Output
$0.60
3.3× cheaper

Mistral Small 4 is cheaper on both: 6.7× input, 3.3× output.

Where to run it

3 hosts

Gemini 2.5 Pro Experimental2 hosts
HostInOutContextUptime
Google Vertex AI$1.25 in·$10.00 out·1M·98.7% upGoogle AI Studio$1.25 in·$10.00 out·1M·95.7% up
Mistral Small 41 host
HostInOutContextUptime
Mistral$0.15 in·$0.60 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 19 Sep 2026.

Writing DNA

Style Comparison

Similarity
49%

Mistral Small 4 uses 19.0x more emoji

Gemini 2.5 Pro Experimental
Mistral Small 4
54%Vocabulary50%
15wSentence Length18w
0.35Hedging0.58
5.6Bold9.0
3.9Lists5.6
0.00Emoji0.19
0.39Headings1.10
0.17Transitions0.12
Based on 18 + 23 text responses
Research

What we learned reading every model

FAQ

Common questions

Gemini 2.5 Pro Experimental is developed by Google AI while Mistral Small 4 is developed by Mistral AI. Gemini 2.5 Pro Experimental has a 1.0M token context window vs Mistral Small 4's 262K. You can compare their actual outputs across 42 challenges on Rival to see how they differ in practice.

It depends on your use case. Gemini 2.5 Pro Experimental and Mistral Small 4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 42 challenges so you can judge which fits your needs best.

Gemini 2.5 Pro Experimental costs $1/M input tokens and Mistral Small 4 costs $0.15/M input tokens. Mistral Small 4 is $0.85/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 Gemini 2.5 Pro Experimental and Mistral Small 4 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

Gemini 2.5 Pro Experimental logo
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