Model Comparison
Llama 3.3 Instruct 70B
vs. Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Comparing 2 AI models · 0 benchmarks · Meta, Anthropic
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
Llama 3.3 Instruct 70B
100.0 value score
9.3 reasoning / $0.68/1M
Lowest Price
Llama 3.3 Instruct 70B
$0.66/1M input price
Best Reasoning
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
62.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
77.0 coding index
Differences That Matter
Best value
Llama 3.3 Instruct 70B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Llama 3.3 Instruct 70B is 7.6x cheaper on input tokens than Claude Opus 5 (Adaptive Reasoning, Xhigh Effort).
Speed gap
Llama 3.3 Instruct 70B generates about 1.5x as many tokens per second as Claude Opus 5 (Adaptive Reasoning, Xhigh Effort).
Reasoning gap
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) leads Llama 3.3 Instruct 70B by 53.2 points on reasoning.
Coding gap
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) leads Llama 3.3 Instruct 70B by 65.1 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 3.3 Instruct 70B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Anthropic
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 | Top Pick Me Llama 3.3 Instruct 70B | An Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.66/1M | $5.00/1M |
| Output Cost | $0.72/1M | $25.00/1M |
| Blended (3:1) | $0.68/1M | $10.00/1M |
| Specifications | ||
| Organization | Meta | Anthropic |
| Release Date | Dec 6, 2024 | Jul 24, 2026 |
| Performance & Speed | ||
| Throughput | 82.0 tok/s | 53.3 tok/s |
| TTFT | 1720ms | 32670ms |
| Latency | 1720ms | 32670ms |
| Composite Indices | ||
| Value Score | 100.0 | 45.4 |
| Reasoning Score | 9.3 | 62.5 |
| Intelligence | 9.3 | 62.5 |
| Coding | 11.9 | 77.0 |
Key Takeaways
Llama 3.3 Instruct 70B offers the best value at $0.66/1M,making it ideal for high-volume applications and cost-conscious projects.
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) has the strongest reasoning profile with a 62.5 reasoning score,combining the available reasoning-heavy benchmarks.
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) reaches a 77.0 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 3.3 Instruct 70B
- Cost-sensitive applications
- High-volume processing
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development