GPT-5.2 Codex vs Together AI - Llama 3 8B Lite
GPT-5.2 Codex (2025) and Together AI - Llama 3 8B Lite (2025) compare a coding-specialized model against a standalone API model. GPT-5.2 Codex ships a 400k-token context window, while Together AI - Llama 3 8B Lite ships a 8k-token context window. On pricing, Together AI - Llama 3 8B Lite costs $0.10/1M input tokens versus $1.75/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: GPT-5.2 Codex is coding-specialized model, while Together AI - Llama 3 8B Lite is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | GPT-5.2 Codex | Together AI - Llama 3 8B Lite |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and tool loops | tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Agents, Classification, and JSON / Tool use |
| Context window | 400k | 8k |
| Cheapest output | $14/1M tokens | $0.10/1M tokens |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-5.2 Codex has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.2 Codex has broader tracked provider coverage for fallback and route flexibility.
- GPT-5.2 Codex uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GPT-5.2 Codex for Coding, RAG, and Agents.
- Together AI - Llama 3 8B Lite has the lower cheapest tracked output price at $0.10/1M tokens.
- Local decision data tags Together AI - Llama 3 8B Lite for Agents, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.2 Codex
$4,900
Cheapest tracked route/tier: Vercel AI Gateway
Together AI - Llama 3 8B Lite
$105
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $4,795. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-5.2 Codex and Together AI - Llama 3 8B Lite; plan for SDK, billing, or endpoint changes.
- Together AI - Llama 3 8B Lite is $13.90/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Together AI - Llama 3 8B Lite and GPT-5.2 Codex; plan for SDK, billing, or endpoint changes.
- GPT-5.2 Codex is $13.90/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.2 Codex adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-18 | 2025-07-15 |
| Context window | 400k | 8k |
| Parameters | — | 8B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-08 | 2024-03 |
Pricing and availability
| Pricing attribute | GPT-5.2 Codex | Together AI - Llama 3 8B Lite |
|---|---|---|
| Input price | $1.75/1M tokens | $0.10/1M tokens |
| Output price | $14/1M tokens | $0.10/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.2 Codex | Together AI - Llama 3 8B Lite |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.