openai / Chat
GPT-5.2
openai/gpt-5.2Complex reasoning & problem solving
Best for: Chat, writing, coding and reasoning tasks
Catalog status
Enabled
Research checked
2026-10-06
Price / performance
What it costs to get this result
GDPval wins/ties · Source-reported results, not a composite ranking. Prices use the average of TokenRex input and output rates per million tokens; actual spend depends on usage. Test configurations differ.
Blended price / 1M tokens · log scale
Compare sourced models on this benchmark
Benchmark results
Results are source-attributed, not TokenRex measurements. Different tests and thinking variants are not interchangeable.
8 of 8 results
GDPval wins/ties
Knowledge-Work · Vendor-reported
Test conditions and source
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)
Tested model: openai/gpt-5.2
OpenAI - Introducing GPT-5.2 · Checked 2026-10-06
SWE-Bench Pro (public)
Coding · Vendor-reported
Test conditions and source
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%
Tested model: openai/gpt-5.2
OpenAI - Introducing GPT-5.2 · Checked 2026-10-06
GPQA Diamond (no tools)
Science · Vendor-reported
Test conditions and source
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%
Tested model: openai/gpt-5.2
OpenAI - Introducing GPT-5.2 · Checked 2026-10-06
CharXiv Reasoning (w/ Python)
Multimodal · Vendor-reported
Test conditions and source
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%
Tested model: openai/gpt-5.2
OpenAI - Introducing GPT-5.2 · Checked 2026-10-06
AIME 2025 (no tools)
Math · Vendor-reported
Test conditions and source
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%
Tested model: openai/gpt-5.2
OpenAI - Introducing GPT-5.2 · Checked 2026-10-06
FrontierMath (Tier 1-3)
Math · Vendor-reported
Test conditions and source
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%
Tested model: openai/gpt-5.2
OpenAI - Introducing GPT-5.2 · Checked 2026-10-06
ARC-AGI-1 (Verified)
Reasoning · Vendor-reported
Test conditions and source
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%
Tested model: openai/gpt-5.2
OpenAI - Introducing GPT-5.2 · Checked 2026-10-06
ARC-AGI-2 (Verified)
Reasoning · Vendor-reported
Test conditions and source
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%
Tested model: openai/gpt-5.2
OpenAI - Introducing GPT-5.2 · Checked 2026-10-06
Model specifications
Context window
400K
Published provider limit
Maximum output
128K
Published provider limit
Knowledge cutoff
Aug 31, 2025
Upstream model
Input and output modalities
Provider-reported formats; API compatibility is detailed below.
Input
Output
- Exact model ID
- openai/gpt-5.2
- Model type
- Chat
- Context window
- 400,000 tokens
- Maximum output
- 128,000 tokens
- Knowledge cutoff
- Aug 31, 2025
A context window is the total conversation budget, not a separate maximum input allowance; generated output and reasoning can use that budget. Published provider limits are not independently tested TokenRex request limits.
Versions and thinking levels
Choose from 4 enabled versions. The exact ID determines the version and its price; benchmark scores do not carry over between variants.
Features and tool support
TokenRex’s exposed interface, not every feature advertised by the provider. “Available” describes the implemented interface, not a successful test of every input or tool.
Reasoning configuration
The catalog version determines the requested reasoning effort.
Selected effort: medium (default catalog version). Reasoning level is not a measured intelligence or speed score.
Coding and agent workflows
Text/code generation and customer-managed tool loops.
Coding benchmark results do not establish a hosted terminal, sandbox, autonomous browser or guaranteed task success.
Streaming answers
AvailableIncremental text through TokenRex’s chat endpoint; Claude also has native Messages access.
Customer-defined function tools
LimitedOnly customer-defined function tools are forwarded. Model/protocol compatibility applies; your application authorizes and executes every tool.
Forced or named tool selection
LimitedThe chat route accepts auto, none and required. A named-tool choice is not forwarded; exact model compatibility is not independently tested.
Images and PDFs
AvailableImages and PDFs can be sent in chat messages to every chat model. File size and model limits apply.
Hosted web search / browsing
Not exposedNo provider-hosted web search or web-fetch tool is exposed. Customer-owned search can be implemented as an authorized function tool.
Hosted code execution / computer use
Not exposedNo built-in execution environment or computer-control tool is provided. Code generation is not code execution.
Hosted file search / persistent assistants
Not exposedNo hosted file-search index, Assistants endpoint or persistent provider agent is exposed.
Prompt caching
AvailableGateway-reported cache reads and writes are included in billing. See this model’s cached input and cache-write rates; a cache hit is not guaranteed. Output is billed at the standard output rate.
Batch / fine-tuning
Not exposedNo public batch or fine-tuning endpoint is offered here.
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.
- Provider model specifications
Vendor-reported
Last checked - OpenAI - Introducing GPT-5.2
Vendor-reported
Last checked
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.