Models & Pricing

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Choose two or three models, including exact thinking and fast versions. Copy the URL to share your selection.

ComparisonGPT-5.2
openai/gpt-5.2
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TypeChat—
Best forChat, writing, coding and reasoning tasks—
TokenRex price$1.75 in / $14.00 out per 1M tokens—
Cached input / 1M tokens$0.175 per 1M tokens—
Cache write / 1M tokensNo extra fee—
Cached outputNot offered · standard output rate applies—
Market price$1.75 in / $14.00 out per 1M tokens—
Context window (provider)400,000 tokens—
Input token limit (provider)Within the context window—
Maximum output128,000 tokens—
Knowledge cutoffAug 31, 2025—
Vendor input modalitiesNot verified—
Vendor output modalitiesNot verified—
TokenRex endpointsPOST /v1/chat/completions—
TokenRex inputText, Image/PDF content through the chat bridge—
TokenRex outputText—
Benchmark evidence8 source-linked results—
GDPval wins/ties
70.9%

OpenAI launch-reported GPT-5.2 Thinking result, not a TokenRex default-effort test. Professional tasks use heavy effort; most other evaluations use xhigh; see source footnotes for harness details. Published excerpt: GDPval (wins or ties) Knowledge work tasks 70.9% vs 38.8% (GPT-5)

OpenAI - Introducing GPT-5.2
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SWE-Bench Pro (public)
55.6%

OpenAI launch-reported GPT-5.2 Thinking result, not a TokenRex default-effort test. Professional tasks use heavy effort; most other evaluations use xhigh; see source footnotes for harness details. Published excerpt: SWE-Bench Pro (public) Software engineering 55.6% vs 50.8%

OpenAI - Introducing GPT-5.2
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GPQA Diamond (no tools)
92.4%

OpenAI launch-reported GPT-5.2 Thinking result, not a TokenRex default-effort test. Professional tasks use heavy effort; most other evaluations use xhigh; see source footnotes for harness details. Published excerpt: GPQA Diamond (no tools) Science questions 92.4% vs 88.1%

OpenAI - Introducing GPT-5.2
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CharXiv Reasoning (w/ Python)
88.7%

OpenAI launch-reported GPT-5.2 Thinking result, not a TokenRex default-effort test. Professional tasks use heavy effort; most other evaluations use xhigh; see source footnotes for harness details. Published excerpt: CharXiv Reasoning (w/ Python) Scientific figure questions 88.7% vs 80.3%

OpenAI - Introducing GPT-5.2
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AIME 2025 (no tools)
100%

OpenAI launch-reported GPT-5.2 Thinking result, not a TokenRex default-effort test. Professional tasks use heavy effort; most other evaluations use xhigh; see source footnotes for harness details. Published excerpt: AIME 2025 (no tools) Competition math 100.0% vs 94.0%

OpenAI - Introducing GPT-5.2
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FrontierMath (Tier 1-3)
40.3%

OpenAI launch-reported GPT-5.2 Thinking result, not a TokenRex default-effort test. Professional tasks use heavy effort; most other evaluations use xhigh; see source footnotes for harness details. Published excerpt: FrontierMath (Tier 1–3) Advanced mathematics 40.3% vs 31.0%

OpenAI - Introducing GPT-5.2
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ARC-AGI-1 (Verified)
86.2%

OpenAI launch-reported GPT-5.2 Thinking result, not a TokenRex default-effort test. Professional tasks use heavy effort; most other evaluations use xhigh; see source footnotes for harness details. Published excerpt: ARC-AGI-1 (Verified) Abstract reasoning 86.2% vs 72.8%

OpenAI - Introducing GPT-5.2
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ARC-AGI-2 (Verified)
52.9%

OpenAI launch-reported GPT-5.2 Thinking result, not a TokenRex default-effort test. Professional tasks use heavy effort; most other evaluations use xhigh; see source footnotes for harness details. Published excerpt: ARC-AGI-2 (Verified) Abstract reasoning 52.9% vs 17.6%

OpenAI - Introducing GPT-5.2
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No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.

— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.

GPT-5.2

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Research notes (1)
  • Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.