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Codex 1 vs Together AI - Llama 3 8B Lite

Codex 1 (2025) and Together AI - Llama 3 8B Lite (2025) are agentic coding models from OpenAI and AI at Meta. Codex 1 ships a 192K-token context window, while Together AI - Llama 3 8B Lite ships a 8K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Codex 1 fits 23x more tokens; pick it for long-context work and Together AI - Llama 3 8B Lite for tighter calls.

Decision scorecard

Local evidence first
SignalCodex 1Together AI - Llama 3 8B Lite
Decision fitCoding, Agents, and Long contextAgents, Classification, and JSON / Tool use
Context window192K8K
Cheapest output-$0.1/1M tokens
Provider routes0 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Codex 1 when...
  • Codex 1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Codex 1 uniquely exposes Reasoning and Code execution in local model data.
  • Local decision data tags Codex 1 for Coding, Agents, and Long context.
Choose Together AI - Llama 3 8B Lite when...
  • Together AI - Llama 3 8B Lite has broader tracked provider coverage for fallback and procurement flexibility.
  • Together AI - Llama 3 8B Lite uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • 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 prices on this page.

Codex 1

Unavailable

No complete token price in local provider data

Together AI - Llama 3 8B Lite

$105

Cheapest tracked route: Together AI

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Codex 1 -> Together AI - Llama 3 8B Lite
  • No overlapping tracked provider route is sourced for Codex 1 and Together AI - Llama 3 8B Lite; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning and Code execution before moving production traffic.
  • Together AI - Llama 3 8B Lite adds Function calling, Tool use, and Structured outputs in local capability data.
Together AI - Llama 3 8B Lite -> Codex 1
  • No overlapping tracked provider route is sourced for Together AI - Llama 3 8B Lite and Codex 1; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
  • Codex 1 adds Reasoning and Code execution in local capability data.

Specs

Specification
Released2025-05-162025-07-15
Context window192K8K
Parameters8B
Architecturedecoder onlydecoder only
LicenseProprietaryOpen Source
Knowledge cutoff-2024-03

Pricing and availability

Pricing attributeCodex 1Together AI - Llama 3 8B Lite
Input price-$0.1/1M tokens
Output price-$0.1/1M tokens
Providers-

Capabilities

CapabilityCodex 1Together AI - Llama 3 8B Lite
VisionNoNo
MultimodalNoNo
ReasoningYesNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionYesNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Codex 1, function calling: Together AI - Llama 3 8B Lite, tool use: Together AI - Llama 3 8B Lite, structured outputs: Together AI - Llama 3 8B Lite, and code execution: Codex 1. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Codex 1 has no token price sourced yet and Together AI - Llama 3 8B Lite has $0.1/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Codex 1 when coding workflow support and larger context windows are central to the workload. Choose Together AI - Llama 3 8B Lite when provider fit and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Codex 1 or Together AI - Llama 3 8B Lite?

Codex 1 supports 192K tokens, while Together AI - Llama 3 8B Lite supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Codex 1 or Together AI - Llama 3 8B Lite open source?

Codex 1 is listed under Proprietary. Together AI - Llama 3 8B Lite is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for reasoning mode, Codex 1 or Together AI - Llama 3 8B Lite?

Codex 1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, Codex 1 or Together AI - Llama 3 8B Lite?

Together AI - Llama 3 8B Lite has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, Codex 1 or Together AI - Llama 3 8B Lite?

Together AI - Llama 3 8B Lite has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Codex 1 and Together AI - Llama 3 8B Lite?

Codex 1 is available on the tracked providers still being sourced. Together AI - Llama 3 8B Lite is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.