OpenAI, released Nov 20, 2024
GPT-4o (2024-11-20)price, context, benchmarks and release details
- Input, per 1M tokens
- $2.50models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://platform.openai.com/docs/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; openai/gpt-4o-2024-11-20
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Output, per 1M tokens
- $10.00models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://platform.openai.com/docs/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; openai/gpt-4o-2024-11-20
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Context window
- 128Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 16.4Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Nov 20, 2024models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
How the score breaks down
Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 06:15 UTC.
Around it on the leaderboard
- 119 Gemini 2.5 Pro 45.2
- 120 Gemma 3 12B IT 45.1
- 121 GPT-4o (2024-11-20) 42.2
- 122 Gemma 3 27B IT 42.0
- 123 o3-mini 41.6
Benchmark results
6 benchmarks, 6 resultsEach row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.
Open source ↗ 47.9
Open source ↗ 49.8
Open source ↗ 6.3
Open source ↗ 18.2
Open source ↗ 31.0
Open source ↗ 8.3
Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.
Details and sources
- Open weights
- Nomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, imagemodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - First seen by SuperIndex
- Oct 8, 2026
- Coverage
- 49% of expected source weight
Reported (3)
- Aider polyglotOct 8, 2026
- Epoch AI BenchmarkingOct 8, 2026
- Official model cards via models.devOct 8, 2026
Awaiting (2)
- LiveBench17% of weight
- LMArena / Arena34% of weight
Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.