OpenAI
High-intelligence multimodal model with a 1 million token context window. Excels at complex instruction-following and long-document analysis.
46.3
Quality Score
1265
Arena ELO
Undisclosed
Parameters
1M
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Apr 2025
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
gpt-4.1 - Arena-Hard-Auto
Arena-Hard-Auto official Gemini-2.5 judged score 50.0 with CI -1.9/1.7
View sourcegpt-4-1106-preview - SWE-Bench Verified
SWE-Bench Verified resolved rate 22.4
View sourcegpt-4.1-20250414 - SWE-Bench Verified
SWE-Bench Verified resolved rate 39.6
View sourceIntroducing GPT-5.2
Introducing GPT-5.2 | OpenAI Skip to main content Research Products Business Developers Company Foundation (opens in a new window) Log in Try ChatGPT (opens in a new window) Research Products Business Developers Company Foundation (opens in a new window) Try ChatGPT (opens in a new window) Login OpenAI December 11, 2025 Product Release Introducing GPT‑5.2 The most advanced frontier model for professional work and long-running agents. Loading… Share Model performance Model per
View sourceWe audited SWE-Bench Pro, one of the most widely used AI coding benchmarks, and found it no longer reliably measures frontier coding capability. We find 30% of SWE-Bench Pro tasks to be broken, and ar
We audited SWE-Bench Pro, one of the most widely used AI coding benchmarks, and found it no longer reliably measures frontier coding capability. We find 30% of SWE-Bench Pro tasks to be broken, and are retracting our previous recommendation that the research community use it as
View sourceWe audited SWE-Bench Pro, one of the most widely used AI coding benchmarks, and found it no longer reliably measures frontier coding capability. We find the eval to be saturated at a ~70% noise ceilin
We audited SWE-Bench Pro, one of the most widely used AI coding benchmarks, and found it no longer reliably measures frontier coding capability. We find the eval to be saturated at a ~70% noise ceiling, and are retracting our previous recommendation that the research community
View source1214
ELO Score
1207 - 1221
95% Confidence
+/-7 points
41.6K
Battles
Jul 14, 2026
Last Updated
1265
ELO Score
1263 - 1267
95% Confidence
+/-2 points
103.7K
Battles
Jul 13, 2026
Last Updated