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Claude Sonnet 5 vs GPT-5.2-Codex

AnthropicOpenAIboth via one key, provider price + 3%

Claude Sonnet 5 and GPT-5.2-Codex both launched within months of each other (June 2026 and January 2026) and both target serious engineering work, but they're built differently. Sonnet 5 is a general-purpose frontier model with a 1M-token context window and adaptive reasoning effort up to 'max'. Codex is OpenAI's coding-specialized fork of GPT-5.1, tuned for both live pair-programming and long unsupervised execution, with mandatory reasoning and a smaller 400K context. Both are available on OpenKey with one API key and a flat 3% fee over provider list price.

Spec vs spec

SpecClaude Sonnet 5GPT-5.2-Codex
Context window1M400K
Max output128K128K
Input modalitiestext, image, filetext, image
Output modalitiestexttext
ReleasedJun 30, 2026Jan 14, 2026
Reasoningoptionalalways on

Pricing

Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.

openkey.ai

anthropic/claude-sonnet-5

Input · 1M tokens

$2.00 + 3%$2.06

Output · 1M tokens

$10.00 + 3%$10.30

Cache read · 1M tokens

$0.200 + 3%$0.206

Cache write · 1M tokens

$2.50 + 3%$2.58

FEE — FLAT, EVERY MODEL3%

openkey.ai

openai/gpt-5.2-codex

Input · 1M tokens

$1.75 + 3%$1.80

Output · 1M tokens

$14.00 + 3%$14.42

Cache read · 1M tokens

$0.175 + 3%$0.180

FEE — FLAT, EVERY MODEL3%

One workload, priced on both

10M input + 2M output tokens at each model's price, flat 3% fee included.

anthropic/claude-sonnet-5Cheaper

$41.20

$40.00 provider + 3%

openai/gpt-5.2-codex

$46.87

$45.50 provider + 3%

Pricing on a real workload

Provider list price: Sonnet 5 is $2.00/M input, $10.00/M output. Codex is $1.75/M input, $14.00/M output — cheaper on input, more expensive on output. On OpenKey that's Sonnet 5 at $2.06/M input and $10.30/M output (2.00 x 1.03, 10.00 x 1.03), and Codex at $1.8025/M input and $14.42/M output (1.75 x 1.03, 14.00 x 1.03).

Run the math on a concrete job: 10M input tokens + 2M output tokens. Sonnet 5 costs $40.00 total; Codex costs $45.50. The input price ratio is 1.14x (Codex cheaper per input token), but Codex's output price more than makes up for it once you generate real volume of code. If your workload is output-heavy — long completions, big diffs, generated files — Sonnet 5's output rate makes it the cheaper option overall.

Coding and agent performance

Sonnet 5 posts an Artificial Analysis coding index of 71.5, an intelligence index of 53.4, and an agentic index of 46.7 — no Design Arena scores are published for it in this dataset. Codex has no Artificial Analysis scores here, but it does have Design Arena agent benchmarks across five categories: godotgamedev (elo 1187, rank 12), androidnative (elo 1176, rank 15), mobileapps (elo 1172, rank 24), webapps (elo 1125, rank 22), and fullstack (elo 1060, rank 27). Codex's best category (godotgamedev) beats its worst (fullstack) by 127 elo points, which tells you its agent performance is uneven across task types — check the category that matches your use case before committing.

Context and long-document work

Sonnet 5 supports 1,000,000 tokens of context; Codex supports 400,000 — a 2.5x gap. Both cap max completion output at 128,000 tokens, so the difference is entirely about how much you can feed in, not how much comes back. For tasks like reviewing a full monorepo, ingesting long specs, or multi-file refactors that need the whole codebase in context at once, Sonnet 5's window gives you more room before you have to chunk or summarize.

Modality and reasoning controls

Sonnet 5 accepts text, image, and file input (files being the differentiator) and outputs text only. Codex accepts text and image input, text output — no file modality. Both support tool calling and structured outputs. On reasoning, Sonnet 5 offers five effort levels (low, medium, high, xhigh, max) and reasoning is optional; Codex offers four levels (low, medium, high, xhigh) but reasoning is mandatory — you can't turn it off. If you need a model that always thinks before responding, Codex enforces that by design; if you want the option to skip reasoning for cheap, fast calls, Sonnet 5 gives you that flexibility.

Which model for which job

Use casePickWhy
Long autonomous coding agent runsGPT-5.2-CodexPurpose-built for independent execution of complex engineering tasks, with published agent benchmarks across five Design Arena categories
Large monorepo or multi-file refactorClaude Sonnet 51,000,000-token context vs Codex's 400,000 — 2.5x more room before you need to chunk
Output-heavy generation (long completions, big diffs)Claude Sonnet 5$10.30/M output on OpenKey vs Codex's $14.42/M — cheaper once output volume climbs
Godot or Android app scaffolding via agentGPT-5.2-CodexRanks 12th (godotgamedev) and 15th (androidnative) on Design Arena, its two strongest categories
Processing PDFs or file uploads directlyClaude Sonnet 5Only one with file input modality — Codex is limited to text and image
Interactive pair-programming with flexible reasoning costClaude Sonnet 5Reasoning is optional (five effort levels including none), so you can dial cost down for simple edits

Questions

Which is cheaper for a typical 10M-input, 2M-output job?
Claude Sonnet 5, at $40.00 total versus $45.50 for GPT-5.2-Codex. Sonnet 5's output price ($10.30/M on OpenKey) is lower than Codex's ($14.42/M), which outweighs Codex's cheaper input rate once output volume climbs.
Does GPT-5.2-Codex have Artificial Analysis benchmark scores?
Not in this dataset — only Design Arena agent scores are available for Codex, covering five categories with elo ranging from 1060 (fullstack) to 1187 (godotgamedev). Sonnet 5 has Artificial Analysis scores (coding index 71.5) but no Design Arena entries here.
How much bigger is Sonnet 5's context window?
2.5x larger: 1,000,000 tokens versus Codex's 400,000. Both models cap output at 128,000 tokens, so the gap only affects how much you can feed in per call, not how much text comes back.
Can I turn off reasoning on GPT-5.2-Codex to save cost?
No — reasoning is mandatory on Codex, with a minimum effort level of low and up to xhigh. Sonnet 5's reasoning is optional, with five effort levels (low through max), giving you more control over cost on simple requests.

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