GPT-5.3 Codex vs Llama 3.1 8B
GPT-5.3 Codex vs Llama 3.1 8B: Llama 3.1 8B is cheaper for input-heavy usage ($0.18/M vs $1.75/M input tokens), while GPT-5.3 Codex is better for long-context tasks (256,000 tokens).
Direct answer: choose Llama 3.1 8B for lower token spend and choose GPT-5.3 Codex when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.3 Codex
Llama 3.1 8B
Cost Differences
Llama 3.1 8B costs less than GPT-5.3 Codex
Quick Recommendation
Winner for direct API pricing: Llama 3.1 8B. At the default workload, Llama 3.1 8B saves about $25.44/month ($309.52/year) versus GPT-5.3 Codex.
Feature Comparison
| Feature | GPT-5.3 Codex | Llama 3.1 8B |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $1.75/1M tokens | $0.18/1M tokens |
| Output Price | $14.00/1M tokens | $0.18/1M tokens |
| Context Window | 256,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | coding | efficient |
| Capabilities | textcode | textcode |
| Release Date | 3/1/2026 | 7/23/2024 |
GPT-5.3 Codex vs Llama 3.1 8B: Which Should You Choose?
Choosing between GPT-5.3 Codex and Llama 3.1 8B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 8B is the more affordable option at $0.18/1M input tokens — 90% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 128,000 for Llama 3.1 8B.
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 3.1 8B is efficient. This means they're optimized for different workloads. Llama 3.1 8B 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 $0.18 for Llama 3.1 8B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 8B has the edge here at $0.18/1M output tokens.
Best Use Cases
Choose GPT-5.3 Codex when:
- • You need a larger context window (256,000 tokens)
- • You're already using OpenAI's API ecosystem
Choose Llama 3.1 8B when:
- • Budget is a primary concern
- • You're already using Meta (via Together AI)'s API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
GPT-5.3 Codex
- • Input pricing: $1.75/M tokens
- • Output pricing: $14.00/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Llama 3.1 8B
- • Higher output cost than Llama 3.1 8B
Llama 3.1 8B
- • Input pricing: $0.18/M tokens
- • Output pricing: $0.18/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Smaller context window than GPT-5.3 Codex
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.3 Codex (OpenAI)
Llama 3.1 8B (Meta (via Together AI))
Start using GPT-5.3 Codex today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, GPT-5.3 Codex or Llama 3.1 8B?▼
What is the context window difference between GPT-5.3 Codex and Llama 3.1 8B?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare OpenAI and Meta (via Together AI) API pricing beyond this model matchup?▼
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