GPT-5.3 Codex vs Llama 3.3 70B
Compare OpenAI and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.3 Codex
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs less than GPT-5.3 Codex
Feature Comparison
| Feature | GPT-5.3 Codex | Llama 3.3 70B |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $1.75/1M tokens | $0.88/1M tokens |
| Output Price | $14.00/1M tokens | $0.88/1M tokens |
| Context Window | 256,000 tokens | 131,072 tokens |
| Max Output | 32,768 tokens | 4,096 tokens |
| Category | coding | standard |
| Capabilities | textcode | textcode |
| Release Date | 3/1/2026 | 12/6/2024 |
GPT-5.3 Codex vs Llama 3.3 70B: Which Should You Choose?
Choosing between GPT-5.3 Codex and Llama 3.3 70B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.3 70B is the more affordable option at $0.88/1M input tokens — 50% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 131,072 for Llama 3.3 70B.
These models come from different providers — OpenAI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: GPT-5.3 Codex is a coding model while Llama 3.3 70B is standard. This means they're optimized for different workloads. Llama 3.3 70B targets more demanding workloads, while GPT-5.3 Codex provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.3 Codex charges $14.00/1M output tokens vs $0.88 for Llama 3.3 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.3 70B has the edge here at $0.88/1M output tokens.
Best Use Cases
Choose GPT-5.3 Codex when:
- • You need a larger context window (256,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using OpenAI's API ecosystem
Choose Llama 3.3 70B when:
- • Budget is a primary concern
- • You're already using Meta (via Together AI)'s API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.3 Codex (OpenAI)
Llama 3.3 70B (Meta (via Together AI))
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