What is the difference between Mistral Large and OpenAI o4-mini?

Mistral Large is developed by Mistral AI while OpenAI o4-mini is developed by OpenAI. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

Which is better, Mistral Large or OpenAI o4-mini?

It depends on your use case. Mistral Large and OpenAI o4-mini each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

How much does Mistral Large cost compared to OpenAI o4-mini?

Mistral Large costs $8/M input tokens and OpenAI o4-mini costs $1.1/M input tokens. OpenAI o4-mini is $6.90/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 Mistral Large and OpenAI o4-mini on Rival?

This page shows a side-by-side comparison of Mistral Large and OpenAI o4-mini across shared challenges. You can vote on which model produced the better output, and Pro users can create custom challenges to test both models with their own prompts.

Rival

Updated Apr 16, 2025

Mistral LargevsOpenAI o4-mini

20 fights queued

Why Mistral Large?

Dead even. This one's a coin flip.

Why OpenAI o4-mini?

5.7x cheaper overall$1.10/M in · $4.40/M out

14 months newerApr 2025

Mistral LargeOpenAI o4-mini

Input price

$8.00/M

$1.10/M

Output price

$24.00/M

$4.40/M

Context

32K

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Released

Feb 2024

Apr 2025

Favorites

Mistral LargeOpenAI o4-mini

Movie

The Shawshank Redemption

19948.7

The Shawshank Redemption

19948.7

Album

OK Computer

Radiohead

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Book

La sombra del viento

Carlos Ruiz Zafón

—

City

Kyoto

Japan

—

Game

The Legend of Zelda: Ocarina of Time

Adventure, Action4.4

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12 / 20

Estimate Complexityreasoning

Tests an AI's ability to make educated estimates based on technical knowledge

Mistral Large

Mistral · Feb 2024text

To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we'll break down the calculation into several steps, considering the architecture, number of parameters, and training process .

Model architecture and parameters: GPT-3 has 175 billion parameters. Most of these parameters are in the dense layers. For a rough estimate, we'll assume that the model has ( L ) layers, and each layer has a pproximately ( \frac{175 \times 10^9}{L} ) parameters.
Forward pass: In a transformer model, the main computation happens in the multi-head self-attention a nd feed-forward networks. For a single token, the computation involves multiplying the input by weight matri ces. So, for one layer, the FLOPs required are approximately ( 2 \times N \times \frac{175 \times 10^9}{L} ), where ( N ) is the dimensionality of the embeddings (typically around 12,288 for GPT-3) and the factor 2 comes from the multiplication and addition in a matrix-vector product.
Backward pass: Training involves both a forward pass and a backward pass. The backward pass has rough ly twice the computational cost of the forward pass due to the need to compute gradients and perform backpro pagation. So, the total FLOPs for one layer and one token during training are approximately ( 6 \times N \t imes \frac{175 \times 10^9}{L} ).
Sequence length and batch size: GPT-3 uses a context window of 2,048 tokens, and let's assume a batch size of ( B ). The computation for each token depends on all previous tokens in the sequence, so the effe ctive number of tokens is ( 2048^2 ) for each batch item. Thus, the total FLOPs for one layer and one batc h are ( 6 \times N \times \frac{175 \times 10^9}{L} \times 2048^2 \times B ).
Total layers and training steps: Now, we multiply by the number of layers ( L ) and the total numbe r of training steps ( S ). Assuming ( L = 96 ) (as mentioned in the GPT-3 paper) and ( S = 300,000 ) ( a rough estimate based on typical training durations), we get:

Total FLOPs = ( 6 \times N \times 175 \times 10^9 \times 2048^2 \times B \times L \times S )
Putting it all together: Plugging in the values ( N = 12,288 ), ( B = 512 ) (a reasonable batch s ize), ( L = 96 ), and ( S = 300,000 ), we get:

Total FLOPs ≈ ( 6 \times 12,288 \times 175 \times 10^9 \times 2048^2 \times 512 \times 96 \times 300,000 )

This works out to approximately ( 3.6 \times 10^{26} ) FLOPs.

So, our rough estimate is that training GPT-3 requires around ( 3.6 \times 10^{26} ) FLOPs. This is a very rough estimate, as the exact number depends on the specific details of the architecture, implementation, an d training process.

Supplement	Dosage	Timing	Purpose
NMN (Nicotinamide Mononucleotide)	500mg	Morning	NAD+ booster, sirtuin activation
Resveratrol (Trans-Resveratrol)	500mg	Morning	SIRT1 activator, antioxidant
Berberine	500mg (3x/day)	Before meals	AMPK activator, glucose control
Magnesium L-Threonate	2g	Evening	Cognitive function, synaptic plasticity
Omega-3 (EPA/DHA)	2g (2:1 EPA:DHA)	With meals	Anti-inflammatory, brain health
Curcumin (Meriva or Longvida)	1g	With meals	NF-κB inhibition, anti-inflammatory
Fisetin	500mg	2x/week	Senolytic (clears senescent cells)
Quercetin + Dasatinib	500mg Quercetin + 50mg Dasatinib	1x/week (Day 7)	Senolytic combo (consult physician)
Collagen Peptides	10g	Morning	Skin, joint, gut integrity
Vitamin D3 + K2 (MK-7)	5,000 IU D3 + 200mcg K2	Morning	Bone, immune, cardiovascular health
Zinc Picolinate	30mg	Evening	Immune, testosterone, antioxidant
Apigenin	50mg	Evening	BDNF booster, anti-anxiety

Day	Workout	Details	Recovery
Mon	Strength (Lower Body)	5x5 Back Squat (80% 1RM), 4x6 Romanian Deadlift, 3x8 Bulgarian Split Squat	10min cold shower post-workout
Tue	Zone 2 Cardio + Mobility	60min cycling/walking (180-age HR), 15min yoga	5min sauna (60°C)
Wed	HIIT (Metabolic Conditioning)	10x (20s sprint / 40s walk), 4x12 Kettlebell Swings	10min cold plunge (10°C)
Thu	Strength (Upper Body)	5x5 Bench Press, 4x6 Weighted Pull-Ups, 3x8 Overhead Press	5min sauna + 5min cold shower
Fri	Active Recovery (Blood Flow)	30min swimming, 20min dynamic stretching	20min infrared sauna
Sat	Long Slow Distance (LSD)	90min hike or cycling (Zone 2)	10min cold plunge
Sun	Rest or Yoga/Nidra	30min yoga + 20min non-sleep deep rest (NSDR)	-

Metric	Tool	Target
Glucose Variability	CGM (Freestyle Libre)	<10% CV, fasting <85 mg/dL
Ketones	Keto-Mojo	0.5-3.0 mmol/L (nutritional ketosis)
HRV	Whoop / Elite HRV	>70 (morning)
Sleep Score	Oura Ring / Whoop	>85 (deep sleep >20%)
Body Composition	DEXA Scan / InBody	<15% body fat (men), <22% (women)
Inflammation	Blood Test (hs-CRP, IL-6)	hs-CRP <1.0 mg/L

Supplement	Dosage	Timing	Purpose
NR (Nicotinamide Riboside)	300mg	Morning	NAD+ precursor (alternate with NMN)
PQQ (Pyrroloquinoline Quinone)	20mg	Morning	Mitochondrial biogenesis
Alpha-GPC	300mg	Pre-workout	Choline source, cognitive enhancement
Lion’s Mane Mushroom	1g	Morning	NGF (nerve growth factor)
Bacopa Monnieri	300mg	Evening	Memory, BDNF
Rhodiola Rosea	200mg	Morning (non-workout days)	Adaptogen, dopamine support
C60 (Carbon 60)	5mg in MCT oil	Morning	Antioxidant, longevity
Urolithin A	500mg	Morning	Mitophagy enhancer (from pomegranate)
Taurine	2g	Post-workout	Mitochondrial protection, osmoregulation

Day	Workout	Details	Recovery
Mon	Strength (Lower) + Hypoxia	5x5 Squat (85% 1RM), 4x6 Deadlift, 3x8 Jump Squats (breath holds)	10min cold plunge
Tue	Zone 5 VO₂ Max Intervals	6x (3min @90% max HR / 3min walk)	20min sauna + 5min cold shower
Wed	Upper Body Hypertrophy	4x8 Incline Bench, 4x8 Weighted Dips, 3x12 Face Pulls	10min red light therapy
Thu	Hypoxic Endurance	45min cycling (15% O₂ via mask or altitude training)	10min cold plunge
Fri	Power & Explosiveness	5x3 Power Cleans, 4x5 Box Jumps, 3x8 Kettlebell Snatches	5min sauna
Sat	Long Zone 2 + Mobility	90min hike (Zone 2) + 20min yoga	20min infrared sauna
Sun	Active Recovery	30min swimming + 10min breathwork	-

Metric	Tool	Target
VO₂ Max	Garmin / Whoop	>50 ml/kg/min (men), >45 (women)
Lactate Threshold	Blood Lactate Meter	>85% max HR
Cognitive Performance	Cambridge Brain Sciences	Top 20% in working memory, attention
Telomere Length	TeloYears Test	Above age-matched average
NAD+ Levels	Blood Test (Quest)	>30 µmol/L

Supplement	Dosage	Timing	Purpose
NMN + NR (Alternating)	500mg NMN or 300mg NR	Morning	NAD+ optimization
Metformin (if insulin resistant)	500mg	Evening	AMPK activation (consult physician)
Rapamycin (Sirolimus) (Experimental)	5mg	1x/week	mTOR inhibition (consult physician)
Hyaluronic Acid	100mg	Morning	Skin, joint, gut lining
Astaxanthin	12mg	With meals	Antioxidant, UV protection
L-Theanine + Caffeine	200mg L-Theanine + 100mg Caffeine	Morning	Focus, dopamine modulation
5-HTP	100mg	Evening	Serotonin precursor (if needed)

Day	Workout	Details	Recovery
Mon	Max Strength (Lower)	3x3 Back Squat (90% 1RM), 3x3 Deadlift, 3x5 Front Squat	10min cold plunge
Tue	VO₂ Max + Hypoxia	8x (1min @95% max HR / 2min walk) + 10min breath holds	20min sauna + 5min cold shower
Wed	Upper Body Power	5x3 Bench Press (90% 1RM), 4x5 Weighted Pull-Ups, 3x6 Overhead Press	10min red light therapy
Thu	Metabolic Conditioning	EMOM 15min: 5 Power Cleans + 10 Burpees	10min cold plunge
Fri	Endurance + Strength Hybrid	5x (400m run + 10 Deadlifts)	20min infrared sauna
Sat	Long Zone 2 + Mobility	120min hike (Zone 2) + 30min yoga	10min cold plunge
Sun	Active Recovery	30min swimming + 20min breathwork	-

Metric	Tool	Target
Body Composition	DEXA Scan	<12% body fat (men), <20% (women)
VO₂ Max	Lab Test	>55 ml/kg/min (men), >50 (women)
Grip Strength	Dynamometer	>60kg (men), >40kg (women)
Cognitive Function	Cambridge Brain Sciences	Top 10% in working memory, attention
Inflammation (hs-CRP)	Blood Test	<0.5 mg/L
Telomere Length	TeloYears	Above 75th percentile for age

Mistral Large vs OpenAI o4-mini

Which is better, Mistral Large or OpenAI o4-mini?