Model Comparison
Llama 4 Scout
vs. Gemini 3.1 Pro Preview
Comparing 2 AI models · 12 benchmarks · Meta, Google
Recommended Pick
GoGemini 3.1 Pro Preview11 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
Llama 4 Scout
100.0 value score
30.5 reasoning / $0.30/1M
Lowest Price
Llama 4 Scout
$0.18/1M input price
Best Reasoning
Gemini 3.1 Pro Preview
61.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.1 Pro Preview
68.8 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Llama 4 Scout has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Llama 4 Scout is 11.1x cheaper on input tokens than Gemini 3.1 Pro Preview.
Speed gap
Gemini 3.1 Pro Preview generates about 1.5x as many tokens per second as Llama 4 Scout.
Reasoning gap
Gemini 3.1 Pro Preview leads Llama 4 Scout by 31.2 points on reasoning.
Coding gap
Gemini 3.1 Pro Preview leads Llama 4 Scout by 60.6 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 4 Scout
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Gemini 3.1 Pro Preview
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Me Llama 4 Scout | Top Pick Go Gemini 3.1 Pro Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.18/1M | $2.00/1M |
| Output Cost | $0.66/1M | $12.00/1M |
| Blended (3:1) | $0.30/1M | $4.50/1M |
| Specifications | ||
| Organization | Meta | |
| Release Date | Apr 5, 2025 | Feb 19, 2026 |
| Performance & Speed | ||
| Throughput | 97.7 tok/s | 146.5 tok/s |
| TTFT | 565ms | 26135ms |
| Latency | 565ms | 26135ms |
| Composite Indices | ||
| Value Score | 100.0 | 13.5 |
| Reasoning Score | 30.5 | 61.8 |
| Intelligence | 10.0 | 46.5 |
| Coding | 8.2 | 68.8 |
| Math | 14.0 | — |
| Standard Benchmarks | ||
| GPQA | 58.7% | 94.1% |
| MMLU Pro | 75.2% | — |
| HLE | 4.3% | 44.7% |
| LiveCodeBench | 29.9% | — |
| MATH 500 | 84.4% | — |
| AIME 2025 | 14.0% | — |
| AIME (Original) | 28.3% | — |
| SciCode | 17.0% | 58.9% |
| LCR | 25.8% | 72.7% |
| IFBench | 39.5% | 77.1% |
| TAU-bench v2 | 15.5% | 95.6% |
| TerminalBench Hard | 1.5% | 53.8% |
Key Takeaways
Llama 4 Scout offers the best value at $0.18/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.1 Pro Preview has the strongest reasoning profile with a 61.8 reasoning score,combining the available reasoning-heavy benchmarks.
Gemini 3.1 Pro Preview reaches a 68.8 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
Llama 4 Scout
- Cost-sensitive applications
- High-volume processing
Gemini 3.1 Pro Preview
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
