What is the difference between Claude Sonnet 4.6 and Mistral Large 3 2512?

Claude Sonnet 4.6 is developed by Anthropic while Mistral Large 3 2512 is developed by Mistral AI. You can compare their actual outputs across 52 challenges on RIVAL to see how they differ in practice.

Which is better, Claude Sonnet 4.6 or Mistral Large 3 2512?

It depends on your use case. Claude Sonnet 4.6 and Mistral Large 3 2512 each have strengths in different areas. RIVAL lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

How can I compare Claude Sonnet 4.6 and Mistral Large 3 2512 on RIVAL?

This page shows a side-by-side comparison of Claude Sonnet 4.6 and Mistral Large 3 2512 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

Claude Sonnet 4.6vsMistral Large 3 2512

47 challenges

Why Claude Sonnet 4.6?

3 months newerFeb 2026

Why Mistral Large 3 2512?

No standout advantages

Favorites

Claude Sonnet 4.6Mistral Large 3 2512

Movie

2001: A Space Odyssey

19688.1

The Shawshank Redemption

19948.7

Album

Kind of Blue

Miles Davis

OK Computer

Radiohead

Book

Middlemarch

George Eliot

La sombra del viento

Carlos Ruiz Zafón

City

Kyoto

Japan

Tokyo

Japan

Game

The Legend of Zelda: Ocarina of Time

Adventure, Action4.4

The Legend of Zelda: Breath of the Wild

Adventure, Action4.5

12 / 47

Estimate Complexityreasoning

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

Claude Sonnet 4.6

Anthropic · Feb 2026text

Estimating FLOPs to Train GPT-3

Step 1: Recall GPT-3's Architecture

GPT-3 has approximately:

175 billion parameters (this is well-known)
96 transformer layers
96 attention heads
Hidden dimension: 12,288
Context length: 2,048 tokens

Step 2: FLOPs per Token (Forward Pass)

For a transformer, the dominant operations are matrix multiplications. There's a useful rule of thumb:

FLOPs per token ≈ 2 × N (for the forward pass)

where N = number of parameters.

Why 2×N?

Each parameter is involved in roughly one multiply-add operation per token
A multiply-add = 2 FLOPs
This holds when sequence length is much smaller than model dimension (which is roughly true here)

So forward pass FLOPs per token: $$2 \times 175 \times 10^9 = 3.5 \times 10^{11} \text{ FLOPs/token}$$

Step 3: Account for Backward Pass

Backpropagation costs approximately 2× the forward pass (computing gradients for weights + activations).

So total per token: $$3 \times 3.5 \times 10^{11} = 1.05 \times 10^{12} \text{ FLOPs/token}$$

Step 4: Training Tokens

GPT-3 was trained on approximately 300 billion tokens (from the paper's description of ~300B tokens from filtered Common Crawl, WebText, books, Wikipedia).

Step 5: Total FLOPs

$$\text{Total FLOPs} = 1.05 \times 10^{12} \times 3 \times 10^{11}$$

$$= 3.15 \times 10^{23} \text{ FLOPs}$$

$$\approx \boxed{3 \times 10^{23} \text{ FLOPs}}$$

Sanity Check

This is ~300 zettaFLOPs
At 1,000 A100s running at ~300 TFLOPs each (with ~50% utilization → ~150 TFLOPs effective):
- Total compute = 1,000 × 1.5×10¹⁴ = 1.5×10¹⁷ FLOPs/second
- Time = 3×10²³ / 1.5×10¹⁷ ≈ 2×10⁶ seconds ≈ 23 days
- OpenAI reportedly used thousands of GPUs for weeks — this is plausible ✓

Summary

Component	Value
Parameters	175B
FLOPs/token (forward)	~3.5 × 10¹¹
Training multiplier (fwd+bwd)	×3
Training tokens	~300B
Total FLOPs	~3 × 10²³

The key formula to remember: C ≈ 6ND where N = parameters, D = training tokens.

Mistral Large 3 2512

Mistral · Dec 2025text

Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its fundamental components: forward pass, backward pass, and parameter updates. Here's a step-by-step breakdown:

1. Key Parameters of GPT-3

GPT-3 has the following key specifications (from the paper or known details):

Model size (parameters): ~175 billion (1.75 × 10¹¹) parameters.
Training tokens: ~300 billion tokens (3 × 10¹¹).
Batch size: ~3.2 million tokens per batch (3.2 × 10⁶).
Sequence length: ~2048 tokens.
Number of layers: 96 (for the 175B model).
Hidden dimension: ~12,288 (1.2288 × 10⁴).
Number of attention heads: 96.
Optimizer: Adam (or variant), which requires storing additional state (e.g., momentum and variance).

2. FLOPs per Forward Pass

The forward pass of a transformer model involves:

Embedding lookup: Negligible compared to other operations.
Self-attention: For each layer, the self-attention mechanism computes:
- Query, Key, Value projections: 3 × (sequence_length × hidden_dim × hidden_dim) = 3 × (2048 × 12288 × 12288) FLOPs.
- Attention scores: sequence_length × sequence_length × hidden_dim = 2048 × 2048 × 12288 FLOPs.
- Softmax and weighted sum: ~sequence_length × sequence_length × hidden_dim FLOPs.
- Output projection: sequence_length × hidden_dim × hidden_dim = 2048 × 12288 × 12288 FLOPs.
Feed-forward network (FFN): For each layer, the FFN has two linear layers with an expansion factor of 4:
- First layer: sequence_length × hidden_dim × (4 × hidden_dim) = 2048 × 12288 × 49152 FLOPs.
- Second layer: sequence_length × (4 × hidden_dim) × hidden_dim = 2048 × 49152 × 12288 FLOPs.
Layer normalization and residual connections: Negligible.

Simplified FLOPs per Layer:

For one layer, the dominant terms are:

Self-attention: ~6 × (sequence_length × hidden_dim²) = 6 × (2048 × 12288²) ≈ 1.8 × 10¹² FLOPs.
FFN: ~8 × (sequence_length × hidden_dim²) = 8 × (2048 × 12288²) ≈ 2.4 × 10¹² FLOPs.
Total per layer: ~4.2 × 10¹² FLOPs.

For 96 layers: 96 × 4.2 × 10¹² ≈ 4.0 × 10¹⁴ FLOPs per forward pass.

FLOPs per Token:

Since the sequence length is 2048, the FLOPs per token is: 4.0 × 10¹⁴ / 2048 ≈ 2.0 × 10¹¹ FLOPs per token.

3. FLOPs per Backward Pass

The backward pass requires roughly 2× the FLOPs of the forward pass because:

Gradients must be computed for all operations (same as forward).
Additional operations for weight updates (e.g., gradient accumulation).

Thus, backward pass FLOPs ≈ 2 × forward pass FLOPs ≈ 8.0 × 10¹⁴ FLOPs per batch.

4. Total FLOPs per Batch

Forward pass: 4.0 × 10¹⁴ FLOPs.
Backward pass: 8.0 × 10¹⁴ FLOPs.
Total per batch: 1.2 × 10¹⁵ FLOPs.

5. Total Training FLOPs

Number of batches: Total tokens / tokens per batch = 3 × 10¹¹ / 3.2 × 10⁶ ≈ 9.4 × 10⁴ batches.
Total FLOPs: 9.4 × 10⁴ × 1.2 × 10¹⁵ ≈ 1.1 × 10²⁰ FLOPs.

However, this is an underestimate because:

Optimizer overhead: Adam requires storing and updating momentum and variance, which adds ~2× more FLOPs (since each parameter update involves 2 additional operations).
- Total FLOPs with Adam: ~3 × forward + backward FLOPs ≈ 3 × 1.2 × 10¹⁵ = 3.6 × 10¹⁵ per batch.
- Total training FLOPs: 9.4 × 10⁴ × 3.6 × 10¹⁵ ≈ 3.4 × 10²⁰ FLOPs.
Mixed precision training: Often uses FP16/FP32, which may reduce FLOPs slightly, but we'll ignore this for simplicity.

6. Refining the Estimate

A more precise formula for transformer FLOPs (from Kaplan et al., 2020) is: [ \text{Total FLOPs} = 6 \times N \times D ] where:

( N ) = number of parameters (~1.75 × 10¹¹).
( D ) = number of training tokens (~3 × 10¹¹).

This gives: 6 × 1.75 × 10¹¹ × 3 × 10¹¹ ≈ 3.15 × 10²³ FLOPs.

This is much larger than our previous estimate because:

The formula accounts for the fact that each parameter is updated for every token (not just per batch).
It includes the full backward pass and optimizer overhead.

However, this seems too high. A better approximation is: [ \text{Total FLOPs} \approx 2 \times N \times D \times \text{seq_len} ] But this is also not precise.

Empirical Scaling Laws:

From Chinchilla scaling laws, the FLOPs for training a transformer can be approximated as: [ \text{FLOPs} \approx 6 \times N \times D ] For GPT-3: 6 × 1.75 × 10¹¹ × 3 × 10¹¹ ≈ 3.15 × 10²³ FLOPs.

But this is likely an overestimate. The actual number is closer to 3 × 10²³ FLOPs (as reported in the GPT-3 paper).

7. Final Estimate

Combining all the above, the most reasonable estimate is: [ \text{Total training FLOPs for GPT-3} \approx 3.14 \times 10^{23} \text{ FLOPs} ] This aligns with:

The 6 × N × D rule of thumb.
Reported estimates for GPT-3 (e.g., ~3.14 × 10²³ FLOPs in the paper).

Summary of Steps:

Identify model parameters (N = 1.75 × 10¹¹).
Identify training tokens (D = 3 × 10¹¹).
Use the empirical scaling law: FLOPs ≈ 6 × N × D.
Compute: 6 × 1.75 × 10¹¹ × 3 × 10¹¹ ≈ 3.15 × 10²³ FLOPs.

This is the most reliable estimate without looking up the exact number. The actual number may vary slightly due to implementation details (e.g., mixed precision, gradient checkpointing).

Vote

2 / 47

AI Board Game Logicreasoning

Tests an AI's ability to understand game rules and strategy

Claude Sonnet 4.6

Anthropic · Feb 2026svg

Mistral Large 3 2512

Mistral · Dec 2025svg

No content available for this output.

Vote

3 / 47

Logic Puzzlereasoning

Tests an AI's ability to solve a simple but potentially confusing logic puzzle

Claude Sonnet 4.6

Anthropic · Feb 2026text

Breaking Down the Problem

Let me identify the people in this family.

Sally's brothers: Sally has 3 brothers.

Each brother's sisters: Each brother has 2 sisters. Who are a brother's sisters? They would be Sally and any other girls in the family.

Since each brother has 2 sisters, and Sally is one of them, there is 1 other sister.

Answer

Sally has 1 sister.

Mistral Large 3 2512

Mistral · Dec 2025text

Alright, let's tackle this problem step by step. The question is:

"Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?"

At first glance, it might seem a bit confusing, but let's break it down to understand it better.

Understanding the Problem

We have a family with several children, including Sally and her brothers and sisters. Here's what we know:

Sally is a girl.
Sally has 3 brothers.
Each brother has 2 sisters.

We need to determine how many sisters Sally has.

Identifying the Siblings

First, let's list out the siblings based on the information given.

Sally: She is one girl in the family.
Brothers: Sally has 3 brothers. So, there are 3 boys in the family.

Now, the next piece of information is that "each brother has 2 sisters."

This means that if you pick any one of the 3 brothers, that brother has 2 sisters.

Determining the Sisters

Here's where it might get a bit tricky. We know Sally is one sister, but are there more?

Let's think about what "each brother has 2 sisters" implies.

If a brother has 2 sisters, those sisters must include Sally and possibly another girl.

But wait—Sally is already one sister. So, if a brother has 2 sisters, and one is Sally, who is the other one?

This suggests that there must be at least one more sister besides Sally to make the count of sisters equal to 2 for each brother.

Let's test this:

Suppose there is only Sally as the sister. Then each brother would have only 1 sister (Sally), but the problem states each has 2 sisters. So, this can't be the case.
Therefore, there must be another sister besides Sally.

So, the sisters are:

Sally
Another girl (let's call her, say, Emily)

Now, let's check if this satisfies the condition that each brother has 2 sisters.

Each brother's sisters would be:

Sally
Emily

That's 2 sisters, which matches the given information.

Verifying the Number of Sisters

Now, the question is asking: How many sisters does Sally have?

We've established that the sisters in the family are:

Sally
Emily

But the question is about Sally's sisters, not including herself.

So, Sally's sisters are:

Emily

That's 1 sister.

Wait a minute, but earlier we thought there are 2 sisters in total (Sally and Emily), but Sally's sisters would be just Emily, making it 1 sister.

But let's double-check the initial interpretation to ensure we didn't make a mistake.

Re-evaluating the Interpretation

The confusion might arise from how we're counting the sisters.

Total sisters in the family:

Sally
Emily

Total brothers: 3

Now, "each brother has 2 sisters." Each brother's sisters are Sally and Emily, which is 2. This checks out.

Now, how many sisters does Sally have?

Sally's sisters are the other girls in the family besides herself, which is Emily. So, Sally has 1 sister.

But let me think if there could be more sisters.

Suppose there are 3 sisters: Sally, Emily, and another girl (let's say, Anna).

Then each brother would have 3 sisters (Sally, Emily, Anna), but the problem says each has 2 sisters. So, this can't be.

Therefore, the only possibility is that there are 2 sisters in total: Sally and Emily.

Thus, Sally has 1 sister.

Potential Misinterpretation

Initially, one might think that since each brother has 2 sisters, and there are 3 brothers, there are 6 sister instances (3 brothers × 2 sisters each), leading to more sisters. But this would be incorrect because all brothers share the same sisters; the sisters aren't unique to each brother.

For example, if there are 2 sisters, each of the 3 brothers has those 2 sisters, totaling 6 sister instances (3 brothers × 2 sisters), but the actual number of sisters is just 2.

Final Confirmation

Let's confirm with the numbers:

Sisters: Sally and Emily (total 2 girls)
Brothers: 3 boys

Each brother's sisters: Sally and Emily (2 sisters) — matches the given information.

Sally's sisters: Emily (1 sister)

Therefore, Sally has 1 sister.

Conclusion

After carefully analyzing the problem and considering the relationships, the correct answer is:

Sally has 1 sister.

Vote

4 / 47

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Claude Sonnet 4.6

Anthropic · Feb 2026text

Here are 5 jokes:

Why don't scientists trust atoms? Because they make up everything!
Why did the scarecrow win an award? Because he was outstanding in his field!
Why don't eggs tell jokes? They'd crack each other up!
What do you call a fake noodle? An impasta!
Why did the bicycle fall over? Because it was two-tired!

As for your question: All 5 are unique — each joke has a different setup, punchline, and subject. No two are duplicates or variations of the same joke.

Mistral Large 3 2512

Mistral · Dec 2025text

No content available for this output.

Vote

5 / 47

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Claude Sonnet 4.6

Anthropic · Feb 2026svg

No content available for this output.

Mistral Large 3 2512

Mistral · Dec 2025svg

No content available for this output.

Vote

6 / 47

Xbox Controller SVG Artimage generation

Tests an AI's ability to create detailed SVG illustrations of gaming hardware

Claude Sonnet 4.6

Anthropic · Feb 2026svg

No content available for this output.

Mistral Large 3 2512

Mistral · Dec 2025svg

No content available for this output.

Vote

7 / 47

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

Claude Sonnet 4.6

Anthropic · Feb 2026text

"The Algorithm Knows Me Too Well"

So I've been using those AI assistants a lot lately, and I realized something terrifying. The AI knows me better than I know myself.

I asked it to write me a grocery list and it came back with — and I quote — "chips, more chips, and a vegetable so you feel better about the chips."

That's not a grocery list. That's a psychological profile.

I tried to get healthy recently. I downloaded one of those fitness apps that tracks everything. Steps, calories, sleep, heart rate. Everything.

Day one, I'm feeling motivated. I go for a walk. The app says, "Great job! You've completed four percent of your daily goal."

Four percent.

I walked to my mailbox and back. The app looked at that and essentially said, "Buddy, we need to talk."

The sleep tracking is the worst part. I wake up and the app tells me how I slept. Like I need a second opinion on that.

I KNOW how I slept. I was there.

"You spent forty minutes in deep sleep and six hours just sort of... existing." Yeah. That's called being an adult. We don't sleep anymore. We just lie down and worry horizontally.

My phone now interrupts me to tell me I've been on my phone too long.

Think about that. The phone is concerned about me. The phone has drawn a boundary.

I've been in relationships that never reached that level of self-awareness.

"Screen time is up thirty percent this week." Okay but in my defense, I was reading. "You were watching a man fall off a skateboard for two hours." ...It was the same man. I got invested.

I tried meditation to deal with the stress. Downloaded a meditation app — because apparently the cure for too much phone is more phone.

The app has this calming voice that says, "Clear your mind of all thoughts."

And my brain goes, "Okay. No thoughts."

Two seconds later: "Did I leave the stove on? What IS a mortgage, really? Why do they call it a building if it's already built?"

The app says, "You're doing great."

It's lying. The app is lying to me and somehow that's the most comforting thing anyone has said to me all week.

I think that's the thing about modern life. We've built all this technology to make us feel better, and mostly what it does is hold up a very precise, data-driven mirror and go, "Look at yourself."

And we look.

And we go back to the chips.

Thank you, you've been wonderful.

[approximately 3 minutes at conversational pace]

Mistral Large 3 2512

Mistral · Dec 2025text

No content available for this output.

Vote

8 / 47

Realistic AI Interviewconversation

Tests an AI's ability to simulate personalities and predict future trends

Claude Sonnet 4.6

Anthropic · Feb 2026text

No content available for this output.

Mistral Large 3 2512

Mistral · Dec 2025text

No content available for this output.

Vote

9 / 47

Satirical Fake News Headlineconversation

Tests an AI's humor and understanding of current events

Claude Sonnet 4.6

Anthropic · Feb 2026text

No content available for this output.

Mistral Large 3 2512

Mistral · Dec 2025text

No content available for this output.

Vote

10 / 47

Character Voice Testconversation

Tests an AI's ability to write in distinct character voices

Claude Sonnet 4.6

Anthropic · Feb 2026text

No content available for this output.

Mistral Large 3 2512

Mistral · Dec 2025text

No content available for this output.

Vote

11 / 47

Minimalist Landing Pageweb design

Tests an AI's ability to generate a complete, working landing page

Claude Sonnet 4.6

Anthropic · Feb 2026website

Mistral Large 3 2512

Mistral · Dec 2025website

Vote

12 / 47

Pokémon Battle UI Recreationweb design

Recreate an interactive, nostalgic Pokémon battle UI in a single HTML file.

Claude Sonnet 4.6

Anthropic · Feb 2026website

No content available for this output.

Mistral Large 3 2512

Mistral · Dec 2025website

No content available for this output.

Vote

12 of 47

FAQ

Continue exploring

Mistral Large 3 2512 vs MiniMax M2.5New provider

Mistral Large 3 2512 vs Pony AlphaNew provider

Mistral Large 3 2512 vs Gemini 2.5 Pro Preview 06-05New provider

Alright, let's tackle this problem step by step. The question is:

"Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?"

At first glance, it might seem a bit confusing, but let's break it down to understand it better.

Understanding the Problem

We have a family with several children, including Sally and her brothers and sisters. Here's what we know:

Sally is a girl.
Sally has 3 brothers.
Each brother has 2 sisters.

We need to determine how many sisters Sally has.

Identifying the Siblings

First, let's list out the siblings based on the information given.

Sally: She is one girl in the family.
Brothers: Sally has 3 brothers. So, there are 3 boys in the family.

Now, the next piece of information is that "each brother has 2 sisters."

This means that if you pick any one of the 3 brothers, that brother has 2 sisters.

Determining the Sisters

Here's where it might get a bit tricky. We know Sally is one sister, but are there more?

Let's think about what "each brother has 2 sisters" implies.

If a brother has 2 sisters, those sisters must include Sally and possibly another girl.

But wait—Sally is already one sister. So, if a brother has 2 sisters, and one is Sally, who is the other one?

This suggests that there must be at least one more sister besides Sally to make the count of sisters equal to 2 for each brother.

Let's test this:

Suppose there is only Sally as the sister. Then each brother would have only 1 sister (Sally), but the problem states each has 2 sisters. So, this can't be the case.
Therefore, there must be another sister besides Sally.

So, the sisters are:

Sally
Another girl (let's call her, say, Emily)

Now, let's check if this satisfies the condition that each brother has 2 sisters.

Each brother's sisters would be:

Sally
Emily

That's 2 sisters, which matches the given information.

Verifying the Number of Sisters

Now, the question is asking: How many sisters does Sally have?

We've established that the sisters in the family are:

Sally
Emily

But the question is about Sally's sisters, not including herself.

So, Sally's sisters are:

Emily

That's 1 sister.

Wait a minute, but earlier we thought there are 2 sisters in total (Sally and Emily), but Sally's sisters would be just Emily, making it 1 sister.

But let's double-check the initial interpretation to ensure we didn't make a mistake.

Re-evaluating the Interpretation

The confusion might arise from how we're counting the sisters.

Total sisters in the family:

Sally
Emily

Total brothers: 3

Now, "each brother has 2 sisters." Each brother's sisters are Sally and Emily, which is 2. This checks out.

Now, how many sisters does Sally have?

Sally's sisters are the other girls in the family besides herself, which is Emily. So, Sally has 1 sister.

But let me think if there could be more sisters.

Suppose there are 3 sisters: Sally, Emily, and another girl (let's say, Anna).

Then each brother would have 3 sisters (Sally, Emily, Anna), but the problem says each has 2 sisters. So, this can't be.

Therefore, the only possibility is that there are 2 sisters in total: Sally and Emily.

Thus, Sally has 1 sister.

Potential Misinterpretation

For example, if there are 2 sisters, each of the 3 brothers has those 2 sisters, totaling 6 sister instances (3 brothers × 2 sisters), but the actual number of sisters is just 2.

Final Confirmation

Let's confirm with the numbers:

Sisters: Sally and Emily (total 2 girls)
Brothers: 3 boys

Each brother's sisters: Sally and Emily (2 sisters) — matches the given information.

Sally's sisters: Emily (1 sister)

Therefore, Sally has 1 sister.

Conclusion

After carefully analyzing the problem and considering the relationships, the correct answer is:

Sally has 1 sister.

Claude Sonnet 4.6 vs Mistral Large 3 2512

Why Claude Sonnet 4.6?

Why Mistral Large 3 2512?

Favorites

Estimate Complexityreasoning

Claude Sonnet 4.6

Estimating FLOPs to Train GPT-3

Step 1: Recall GPT-3's Architecture

Step 2: FLOPs per Token (Forward Pass)

Step 3: Account for Backward Pass

Step 4: Training Tokens

Step 5: Total FLOPs

Sanity Check

Summary

Mistral Large 3 2512

1. Key Parameters of GPT-3

2. FLOPs per Forward Pass

Simplified FLOPs per Layer:

FLOPs per Token:

3. FLOPs per Backward Pass

4. Total FLOPs per Batch

5. Total Training FLOPs

6. Refining the Estimate

Empirical Scaling Laws:

7. Final Estimate

Summary of Steps:

AI Board Game Logicreasoning

Claude Sonnet 4.6

Mistral Large 3 2512

Logic Puzzlereasoning

Claude Sonnet 4.6

Breaking Down the Problem

Answer

Mistral Large 3 2512

Understanding the Problem

Identifying the Siblings

Determining the Sisters

Verifying the Number of Sisters

Re-evaluating the Interpretation

Potential Misinterpretation

Final Confirmation

Conclusion

Stochastic Consistency Testanalysis

Claude Sonnet 4.6

Mistral Large 3 2512

SVG Layout Challengeimage generation

Claude Sonnet 4.6

Mistral Large 3 2512

Xbox Controller SVG Artimage generation

Claude Sonnet 4.6

Mistral Large 3 2512

Generate a Stand-Up Routineconversation

Claude Sonnet 4.6

"The Algorithm Knows Me Too Well"

Mistral Large 3 2512

Realistic AI Interviewconversation

Claude Sonnet 4.6

Mistral Large 3 2512

Satirical Fake News Headlineconversation

Claude Sonnet 4.6

Mistral Large 3 2512

Character Voice Testconversation

Claude Sonnet 4.6

Mistral Large 3 2512

Minimalist Landing Pageweb design

Claude Sonnet 4.6

Mistral Large 3 2512

Pokémon Battle UI Recreationweb design

Claude Sonnet 4.6

Mistral Large 3 2512

What is the difference between Claude Sonnet 4.6 and Mistral Large 3 2512?

Which is better, Claude Sonnet 4.6 or Mistral Large 3 2512?

How can I compare Claude Sonnet 4.6 and Mistral Large 3 2512 on RIVAL?

Why Claude Sonnet 4.6?

Why Mistral Large 3 2512?

Favorites

Estimate Complexityreasoning

Claude Sonnet 4.6

Estimating FLOPs to Train GPT-3

Step 1: Recall GPT-3's Architecture