Meta: Llama 3.1 70B Instruct vs OpenAI: GPT-5.6 Sol
On input price, Meta: Llama 3.1 70B Instruct is ~10.0× cheaper. Verified 2026-10-21.
Verdict
On blended price (3:1 input:output), Meta: Llama 3.1 70B Instruct is ~20.0× cheaper ($0.400/$0.400 vs $4.00/$20.00 per 1M tokens).
Pricing
Per-million-token list prices, verified 2026-10-21. Green marks the better value.
| Metric | Meta: Llama 3.1 70B Instruct | OpenAI: GPT-5.6 Sol |
|---|---|---|
| Input / 1M | $0.400 | $4.00 |
| Output / 1M | $0.400 | $20.00 |
| Cache read / 1M | — | $0.400 |
| Blended (3:1) | $0.400/1M | $8.00/1M |
| Estimated monthly cost | Meta: Llama 3.1 70B Instruct | OpenAI: GPT-5.6 Sol |
|---|---|---|
| Chatbot10,000 reqs · 800/400 tok | $4.80 | $112.00 |
| Coding agent5,000 reqs · 8000/2000 tok | $20.00 | $360.00 |
| RAG pipeline30,000 reqs · 4000/500 tok | $54.00 | $780.00 |
Plug in your own numbers in the calculator, or paste a real bill into the Bill Shredder.
Specifications & capabilities
| Metric | Meta: Llama 3.1 70B Instruct | OpenAI: GPT-5.6 Sol |
|---|---|---|
| Context window | 131K | 1.1M |
| Max output | 16K | 128K |
| Vision input | – | ✓ |
| Tool calling | ✓ | ✓ |
| Reasoning | – | ✓ |
Quality
Intelligence Index by Artificial Analysis (independent evaluations, 0–100).
Verified intelligence scores aren't available for both models yet. See the full leaderboard.
Performance
Measured by Artificial Analysis on live endpoints.
Speed measurements aren't available for both models yet.
Provider
Infrastructure metrics for the organizations behind these models.
| Metric | Meta Llama | OpenAI |
|---|---|---|
| Listed endpoints | 25 | 12 |
| Reliability | 99.5% | 99.9% |
| Avg latency | 420 ms | 450 ms |
| Pricing tiers | standard, free | standard, batch, provisioned |
Full details: Meta: Llama 3.1 70B Instruct pricing · OpenAI: GPT-5.6 Sol pricing