Model Comparison
PALM-2
vs. Pixtral Large
Comparing 2 AI models · 11 benchmarks · Google, Mistral
Recommended Pick
MiPixtral Large2 metric winsStrongest on: Reasoning, Intelligence
Lowest Price
PALM-2
$0.00/1M input price
Best Reasoning
Pixtral Large
20.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
PALM-2
4.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
PALM-2 is ∞x cheaper on input tokens than Pixtral Large.
Reasoning gap
Pixtral Large leads PALM-2 by 17.5 points on reasoning.
Top-pick rationale
Pixtral Large wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
PALM-2
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Pixtral Large
Mistral
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 | Go PALM-2 | Top Pick Mi Pixtral Large |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $2.00/1M |
| Output Cost | $0.00/1M | $6.00/1M |
| Blended (3:1) | — | $3.00/1M |
| Specifications | ||
| Organization | Mistral | |
| Release Date | May 10, 2023 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 3.2 | 20.7 |
| Intelligence | 3.2 | 8.1 |
| Coding | 4.6 | — |
| Math | — | 2.3 |
| Standard Benchmarks | ||
| GPQA | — | 50.5% |
| MMLU Pro | — | 70.1% |
| HLE | — | 3.6% |
| LiveCodeBench | — | 26.1% |
| MATH 500 | — | 71.4% |
| AIME 2025 | — | 2.3% |
| AIME (Original) | — | 7.0% |
| SciCode | — | 29.2% |
| LCR | — | 10.3% |
| IFBench | — | 34.5% |
| TAU-bench v2 | — | 36.5% |
Key Takeaways
PALM-2 offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Pixtral Large has the strongest reasoning profile with a 20.7 reasoning score,combining the available reasoning-heavy benchmarks.
PALM-2 reaches a 4.6 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
PALM-2
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Pixtral Large
- Complex reasoning tasks
- Research & analysis
