Model Comparison
LLM 67B Chat (V1)
vs. Llama 3.2 Instruct 90B (Vision)
Comparing 2 AI models · 7 benchmarks · DeepSeek, Meta
Recommended Pick
Strongest on: Input price, Output price, TTFT
Lowest Price
LLM 67B Chat (V1)
$0.00/1M input price
Best Reasoning
Llama 3.2 Instruct 90B (Vision)
25.6 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
LLM 67B Chat (V1) is ∞x cheaper on input tokens than Llama 3.2 Instruct 90B (Vision).
Reasoning gap
Llama 3.2 Instruct 90B (Vision) leads LLM 67B Chat (V1) by 17.2 points on reasoning.
Top-pick rationale
LLM 67B Chat (V1) wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
LLM 67B Chat (V1)
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Llama 3.2 Instruct 90B (Vision)
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick De LLM 67B Chat (V1) | Me Llama 3.2 Instruct 90B (Vision) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $1.38/1M |
| Output Cost | $0.00/1M | $1.38/1M |
| Blended (3:1) | — | $1.38/1M |
| Specifications | ||
| Organization | DeepSeek | Meta |
| Release Date | Nov 29, 2023 | Sep 25, 2024 |
| Performance & Speed | ||
| Throughput | — | 48.2 tok/s |
| TTFT | — | 548ms |
| Latency | — | 548ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 8.4 | 25.6 |
| Intelligence | 8.4 | 11.9 |
| Standard Benchmarks | ||
| GPQA | — | 43.2% |
| MMLU Pro | — | 67.1% |
| HLE | — | 4.9% |
| LiveCodeBench | — | 21.4% |
| MATH 500 | — | 62.9% |
| AIME (Original) | — | 5.0% |
| SciCode | — | 24.0% |
Key Takeaways
LLM 67B Chat (V1) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Llama 3.2 Instruct 90B (Vision) has the strongest reasoning profile with a 25.6 reasoning score, combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
LLM 67B Chat (V1)
- Cost-sensitive applications
- High-volume processing
Llama 3.2 Instruct 90B (Vision)
- Complex reasoning tasks
- Research & analysis