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GPT-5.6 Sol vs GPT-5.2-Codex

Detailed technical comparison between GPT-5.6 Sol (OpenAI) 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

GPT-5.6 Sol: 2 WinsvsGPT-5.2-Codex: 4 Wins
Context Leader

GPT-5.6 Sol

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-5.2-Codex

$1.75 / MTok
OpenAIactive

GPT-5.6 Sol

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

View GPT-5.6 Sol 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
SpecificationGPT-5.6 SolGPT-5.2-Codex
ProviderOpenAIOpenAI
Context Window1,050,000 tokens๐Ÿ†400,000 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-07-092026-01-14

API Pricing Comparison

Input Price per Million Tokens

GPT-5.6 Sol

$5.00

GPT-5.2-Codex

$1.75

Output Price per Million Tokens

GPT-5.6 Sol

$30.00

GPT-5.2-Codex

$14.00

๐Ÿ’ก Cost Ratio: GPT-5.2-Codex is 2.9x cheaper per input token than GPT-5.6 Sol.

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
91.8%vs93.0%+1.2% GPT-5.2-Codex
GPT-5.6 Sol
GPT-5.2-Codex ๐Ÿ†
HumanEvalPython coding & logic synthesis
93.0%vs99.0%+6.0% GPT-5.2-Codex
GPT-5.6 Sol
GPT-5.2-Codex ๐Ÿ†
MATHComplex mathematical problem solving
80.2%vs81.4%+1.2% GPT-5.2-Codex
GPT-5.6 Sol
GPT-5.2-Codex ๐Ÿ†
GPQAGraduate-level expert reasoning
58.6%vs56.4%+2.2% GPT-5.6 Sol
GPT-5.6 Sol ๐Ÿ†
GPT-5.2-Codex
HellaSwagCommonsense reasoning and inference
90.8%vs88.6%+2.2% GPT-5.6 Sol
GPT-5.6 Sol ๐Ÿ†
GPT-5.2-Codex
MT-BenchMulti-turn conversation flow quality
9.3%vs9.5%+0.1% GPT-5.2-Codex
GPT-5.6 Sol
GPT-5.2-Codex ๐Ÿ†

GPT-5.6 Sol Quirks & Gotchas

No developer gotchas reported.

GPT-5.2-Codex Quirks & Gotchas

No developer gotchas reported.

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