GPT-5.5 vs Llama 3.3 70B (Groq/Together)
Compare GPT-5.5 vs Llama 3.3 70B (Groq/Together) API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-5.5 charges $5.00/1M input and $30.00/1M output tokens, compared to Llama 3.3 70B (Groq/Together) at $0.59/1M input and $0.79/1M output. Llama 3.3 70B (Groq/Together) is 8.5x cheaper on input tokens. In reasoning benchmarks, Neither rated holds the higher AA Intelligence Index rating. For latency-critical streaming, throughput figures are not yet measured for at least one of these models.
Full Metric & Specification Comparison
| Metric | GPT-5.5 | Llama 3.3 70B (Groq/Together) | Advantage |
|---|---|---|---|
| Provider | OpenAI | Meta | - |
| Input Token Cost (1M) | $5.000 | $0.590 | Llama 3.3 70B (Groq/Together) |
| Output Token Cost (1M) | $30.000 | $0.790 | Llama 3.3 70B (Groq/Together) |
| Context Window | 922k tokens | 128k tokens | GPT-5.5 |
| AA Intelligence Index | Unrated | Unrated | Unrated |
| Streaming Latency | Moderate | Unrated | - |
Key Architectural Takeaways
- Input Token Cost: GPT-5.5 is $5.00/1M vs Llama 3.3 70B (Groq/Together) at $0.59/1M
- Output Token Cost: GPT-5.5 is $30.00/1M vs Llama 3.3 70B (Groq/Together) at $0.79/1M
- Context Window: GPT-5.5 supports 922k tokens vs Llama 3.3 70B (Groq/Together) with 128k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: GPT-5.5 is rated Moderate vs Llama 3.3 70B (Groq/Together) rated null
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying Llama 3.3 70B (Groq/Together) over GPT-5.5 saves $285.23/mo ($3423/yr) at this volume.
Frequently Asked Questions
Is GPT-5.5 cheaper than Llama 3.3 70B (Groq/Together)?
Llama 3.3 70B (Groq/Together) is significantly more economical, charging $0.59/1M input compared to $5.00/1M for GPT-5.5.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Llama 3.3 70B (Groq/Together). If you require peak reasoning accuracy and complex tool use, Neither rated is recommended.
How does context window compare between GPT-5.5 and Llama 3.3 70B (Groq/Together)?
GPT-5.5 offers the larger context window (922k tokens), allowing you to pass significantly larger codebases or documents without chunking.
Related Model Head-to-Head Comparisons
Explore all 100+ comparisonsNever Miss an AI Token Price Cut
Choose which providers to follow. When an alert is dispatched, it is sent through the configured email or webhook provider; the brief below is displayed on this page only.