Model Comparison
Llama 4 Scout
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 12 benchmarks · Meta, OpenAI
Recommended Pick
OpGPT-5.6 Sol (max)10 metric winsStrongest on: Reasoning, Intelligence, Coding
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
GPT-5.6 Sol (max)
66.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Sol (max)
77.4 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 27.8x cheaper on input tokens than GPT-5.6 Sol (max).
Speed gap
Llama 4 Scout generates about 1.1x as many tokens per second as GPT-5.6 Sol (max).
Reasoning gap
GPT-5.6 Sol (max) leads Llama 4 Scout by 36.2 points on reasoning.
Coding gap
GPT-5.6 Sol (max) leads Llama 4 Scout by 69.2 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
—
GPT-5.6 Sol (max)
OpenAI
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 | Me Llama 4 Scout | Top Pick Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.18/1M | $5.00/1M |
| Output Cost | $0.66/1M | $30.00/1M |
| Blended (3:1) | $0.30/1M | $11.25/1M |
| Specifications | ||
| Organization | Meta | OpenAI |
| Release Date | Apr 5, 2025 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 97.7 tok/s | 90.2 tok/s |
| TTFT | 565ms | 87132ms |
| Latency | 565ms | 87132ms |
| Composite Indices | ||
| Value Score | 100.0 | 5.8 |
| Reasoning Score | 30.5 | 66.7 |
| Intelligence | 10.0 | 58.9 |
| Coding | 8.2 | 77.4 |
| Math | 14.0 | — |
| Standard Benchmarks | ||
| GPQA | 58.7% | 94.1% |
| MMLU Pro | 75.2% | — |
| HLE | 4.3% | 47.2% |
| LiveCodeBench | 29.9% | — |
| MATH 500 | 84.4% | — |
| AIME 2025 | 14.0% | — |
| AIME (Original) | 28.3% | — |
| SciCode | 17.0% | 56.1% |
| LCR | 25.8% | 73.7% |
| IFBench | 39.5% | 72.7% |
| TAU-bench v2 | 15.5% | 85.1% |
| TerminalBench Hard | 1.5% | 65.9% |
Key Takeaways
Llama 4 Scout offers the best value at $0.18/1M,making it ideal for high-volume applications and cost-conscious projects.
GPT-5.6 Sol (max) has the strongest reasoning profile with a 66.7 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Sol (max) reaches a 77.4 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
GPT-5.6 Sol (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
