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Llama 3.3 70B Instruct vs GPT-5.2-Codex

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and GPT-5.2-Codex (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Llama 3.3 70B Instruct: 0 WinsvsGPT-5.2-Codex: 6 Wins
Context Leader

GPT-5.2-Codex

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / MTok
Metaactive

Llama 3.3 70B Instruct

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

View Llama 3.3 70B Instruct Full Specs โ†’
OpenAIactive

GPT-5.2-Codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

View GPT-5.2-Codex Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationLlama 3.3 70B InstructGPT-5.2-Codex
ProviderMetaOpenAI
Context Window131,072 tokens400,000 tokens๐Ÿ†
Agent Suitability83/100 (est.)Not yet benchmarked
Time to First Token (TTFT)280 ms (est.)No public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2024-12-062026-01-14

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

GPT-5.2-Codex

$1.75

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

GPT-5.2-Codex

$14.00

๐Ÿ’ก Cost Ratio: Llama 3.3 70B Instruct is 13.5x cheaper per input token than GPT-5.2-Codex.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
86.2%vs93.0%+6.8% GPT-5.2-Codex
Llama 3.3 70B Instruct
GPT-5.2-Codex ๐Ÿ†
HumanEvalPython coding & logic synthesis
88.0%vs99.0%+11.0% GPT-5.2-Codex
Llama 3.3 70B Instruct
GPT-5.2-Codex ๐Ÿ†
MATHComplex mathematical problem solving
75.0%vs81.4%+6.4% GPT-5.2-Codex
Llama 3.3 70B Instruct
GPT-5.2-Codex ๐Ÿ†
GPQAGraduate-level expert reasoning
52.0%vs56.4%+4.4% GPT-5.2-Codex
Llama 3.3 70B Instruct
GPT-5.2-Codex ๐Ÿ†
HellaSwagCommonsense reasoning and inference
88.5%vs88.6%+0.1% GPT-5.2-Codex
Llama 3.3 70B Instruct
GPT-5.2-Codex ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.8%vs9.5%+0.7% GPT-5.2-Codex
Llama 3.3 70B Instruct
GPT-5.2-Codex ๐Ÿ†

Llama 3.3 70B Instruct Quirks & Gotchas

  • โ–ธStable, well-documented self-hosted option with strong community support
  • โ–ธOutperformed by Llama 4 Maverick for agentic tool-calling workflows

GPT-5.2-Codex Quirks & Gotchas

No developer gotchas reported.

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