Model Comparison
GPT-5 (High)
vs. Llama 4 Scout
Comparing 2 AI models · 0 benchmarks · OpenAI, Meta
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
Llama 4 Scout
100.0 value score
6.5 reasoning / $0.30/1M
Lowest Price
Llama 4 Scout
$0.18/1M input price
Best Reasoning
GPT-5 (High)
23.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5 (High)
37.8 coding index
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 6.9x cheaper on input tokens than GPT-5 (High).
Speed gap
GPT-5 (High) generates about 1.4x as many tokens per second as Llama 4 Scout.
Reasoning gap
GPT-5 (High) leads Llama 4 Scout by 16.5 points on reasoning.
Coding gap
GPT-5 (High) leads Llama 4 Scout by 29.6 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5 (High)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Llama 4 Scout
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Op GPT-5 (High) | Top Pick Me Llama 4 Scout |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.18/1M |
| Output Cost | $10.00/1M | $0.66/1M |
| Blended (3:1) | $3.44/1M | $0.30/1M |
| Specifications | ||
| Organization | OpenAI | Meta |
| Release Date | Aug 7, 2025 | Apr 5, 2025 |
| Performance & Speed | ||
| Throughput | 111.6 tok/s | 81.2 tok/s |
| TTFT | 66040ms | 860ms |
| Latency | 66040ms | 860ms |
| Composite Indices | ||
| Value Score | 30.9 | 100.0 |
| Reasoning Score | 23.0 | 6.5 |
| Intelligence | 23.0 | 6.5 |
| Coding | 37.8 | 8.2 |
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 (High) has the strongest reasoning profile with a 23.0 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5 (High) reaches a 37.8 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
GPT-5 (High)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 4 Scout
- Cost-sensitive applications
- High-volume processing