Model Comparison
Pixtral Large
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 11 benchmarks · Mistral, Allen Institute for AI
Recommended Pick
AlLlama 3.1 Tulu3 405B10 metric winsStrongest on: Input price, Output price, Reasoning
Lowest Price
Llama 3.1 Tulu3 405B
$0.00/1M input price
Best Reasoning
Llama 3.1 Tulu3 405B
30.9 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Llama 3.1 Tulu3 405B is ∞x cheaper on input tokens than Pixtral Large.
Reasoning gap
Llama 3.1 Tulu3 405B leads Pixtral Large by 10.2 points on reasoning.
Top-pick rationale
Llama 3.1 Tulu3 405B wins 10 measurable categories, including Input price, Output price, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Pixtral Large
Mistral
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Llama 3.1 Tulu3 405B
Allen Institute for AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Mi Pixtral Large | Top Pick Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.00/1M |
| Output Cost | $6.00/1M | $0.00/1M |
| Blended (3:1) | $3.00/1M | — |
| Specifications | ||
| Organization | Mistral | Allen Institute for AI |
| Release Date | Nov 18, 2024 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 20.7 | 30.9 |
| Intelligence | 8.1 | 8.3 |
| Math | 2.3 | — |
| Standard Benchmarks | ||
| GPQA | 50.5% | 51.6% |
| MMLU Pro | 70.1% | 71.6% |
| HLE | 3.6% | 3.5% |
| LiveCodeBench | 26.1% | 29.1% |
| MATH 500 | 71.4% | 77.8% |
| AIME 2025 | 2.3% | — |
| AIME (Original) | 7.0% | 13.3% |
| SciCode | 29.2% | 30.2% |
| LCR | 10.3% | — |
| IFBench | 34.5% | — |
| TAU-bench v2 | 36.5% | — |
Key Takeaways
Llama 3.1 Tulu3 405B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Llama 3.1 Tulu3 405B has the strongest reasoning profile with a 30.9 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Pixtral Large
- General-purpose AI
- Versatile applications
Llama 3.1 Tulu3 405B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
