Llama 3.3 70B vs GPT-5.4
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Meta
2 providers:
Meta $0.590/$0.790
Together $1.04/$1.04
|
by OpenAI
|
|---|---|---|
| Overview | ||
| Status | Current open weights Open weights | Current flagship |
| Released | Dec 6, 2024 | Aug 15, 2025 |
| Pricing per million tokens | ||
| Input | $0.590/Mtok | $2.50/Mtok |
| Output | $0.790/Mtok | $15.00/Mtok |
| Blended avg | $0.640/Mtok | $5.63/Mtok |
| Cached input | — | $0.250/Mtok |
| Specifications | ||
| Context window | 128K tokens | 1M tokens |
| Parameters | 70B | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
textimage
|
| Benchmarks sources: Vellum LLM Leaderboard / OpenAI model card, Artificial Analysis | ||
| Avg benchmark score | 46.6 | 78.7 |
| Perf / dollar | 72.8 | 14 |
| GPQA Diamond | 50.5 | 88 |
| SWE-Bench Verified | 22 | 75 |
| Humanity's Last Exam | 10 | 40.2 |
| ARC-AGI 2 | 12 | 50 |
| AIME 2025 | 38 | 95.5 |
| MMMLU | 72 | 88 |
| BFCL | 77.3 | 85 |
| HumanEval | 78 | 94.5 |
| MATH 500 | 60 | 92 |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | — | 53.1 |
| AA Agentic Index | — | 44.2 |
| AA-Omniscience Index (−100–100) | — | 5.8 |
| LMSYS Chatbot Arena | — | 1465.5 ELO |
| Providers | ||
| Available from |
Meta — $0.590/$0.790/Mtok
Together — $1.04/$1.04/Mtok
|
OpenAI — $2.50/$15.00/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Llama 3.3 70B | GPT-5.4 | Savings |
|---|---|---|---|
| 1M tokens | $0.64 | $5.63 | $4.99 (88.7%) |
| 10M tokens | $6.4 | $56.25 | $49.85 (88.6%) |
| 100M tokens | $64 | $562.5 | $498.5 (88.6%) |
| 1000M tokens | $640 | $5625 | $4985 (88.6%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.640/Mtok blended vs $5.63 — 88.6% less on the same 50/50 token mix
- you want open weights — self-host it, fine-tune it, or exit the API entirely; GPT-5.4 is closed
- provider flexibility: available from 2 providers, so you can price-shop hosts or fail over
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.250/Mtok — 90% off its list input price, a discount Llama 3.3 70B doesn't offer
- you need the longer context: 1M tokens vs 128K (7.8×)
- raw capability matters more than price: 78.7 vs 46.6 average benchmark score
Summary
Llama 3.3 70B by Meta costs $0.590/Mtok input and $0.790/Mtok output, with a 128K-token context window. It supports text input and is available from 2 providers.
GPT-5.4 by OpenAI costs $2.50/Mtok input and $15.00/Mtok output, with a 1M-token context window. It supports text, image input.
On a blended cost basis, Llama 3.3 70B is 88.6% cheaper than GPT-5.4.
On benchmarks, GPT-5.4 scores higher (78.7 vs 46.6) on average. In terms of value, Llama 3.3 70B has better performance per dollar (72.8 vs 14).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.