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How smart is GPT-4o (Nov 2024)?

69 SI-IQ · 90% interval 64–73
Rank 78 of 80 ranked models · Plausible rank range 75–80

GPT-4o (Nov 2024) is a model from OpenAI, released on Nov 20, 2024. Its SI-IQ is 69 (90% interval 64–73), estimated from 5 benchmark results by 2 independent evaluators. Its strongest area is Math and its weakest is Coding.

Facts

Developer
OpenAI
Released
Nov 20, 2024
Access
API access
Benchmarks used
5 results from 2 evaluators
API price
$2.50 input / $10 output per 1M tokens (developer's price list, Oct 18, 2026)
Context window
128,000 tokens

Ability by area (SI-IQ, 90% interval)

6080100120140160Math68Coding68

Every benchmark result we used

Each score is one value exactly as the source published it: for Epoch AI the best of its run settings, for OpenRouter the median hosting provider (the developer's own hosting when it ran the test). “Implied SI-IQ” is the ability that this single result points to; the overall SI-IQ is their precision-weighted average.

Benchmark Area Score Implied SI-IQ Evaluated by As listed by the source Retrieved Source
MATH Level 5 Math 49.8% 69 Epoch AI gpt-4o-2024-11-20 Oct 18, 2026 Epoch AI Benchmarking Hub · data file
OTIS Mock AIME 2024–2025 Math 6.2% 65 Epoch AI gpt-4o-2024-11-20 Oct 18, 2026 Epoch AI Benchmarking Hub · data file
Aider Polyglot Coding 18.2% 75 Aider gpt-4o-2024-11-20 Oct 18, 2026 Aider LLM Leaderboards · data file
SWE-bench Verified (Epoch AI run) Coding 31.0% 60 Epoch AI gpt-4o-2024-11-20 Oct 18, 2026 Epoch AI Benchmarking Hub · data file
GPQA Diamond Knowledge 47.9% 70 Epoch AI gpt-4o-2024-11-20 Oct 18, 2026 Epoch AI Benchmarking Hub · data file

Models with similar SI-IQ

ModelSI-IQ
GPT-4o miniOpenAI68GPT-4o (Nov 2024) vs GPT-4o mini
Llama 3.3 70BMeta AI66GPT-4o (Nov 2024) vs Llama 3.3 70B
GPT-4o (Aug 2024)OpenAI73GPT-4o (Nov 2024) vs GPT-4o (Aug 2024)
GPT-4.1 nanoOpenAI76GPT-4o (Nov 2024) vs GPT-4.1 nano
Gemma 3 27BGoogle DeepMind77GPT-4o (Nov 2024) vs Gemma 3 27B

Computed with SI-IQ method version 1.0.0. Read the full methodology

Data sources: Aider polyglot leaderboard data (Apache-2.0); Epoch AI, ‘Capabilities & benchmarking’ (CC BY 4.0); API list prices via LiteLLM's price table (MIT); each price links to the developer's pricing page.