GPT-4o (2024-11-20)
OpenAI · released Nov 20, 2024
- Type
- Closed
- Input
- $2.50
- Output
- $10.00
- Cached
- $1.25
List price · per 1M tokens · OpenAI at 128K context · machine-readable source ↗
Our take
Written Sep 2, 2026GPT-4o is a proprietary text-and-image model from OpenAI that handles up to 128,000 tokens in a single request. It is a familiar choice for teams already embedded in the OpenAI ecosystem, with identical pricing across both tracked providers.
Pick this when you need general multimodal tasks with a 128,000-token limit and OpenAI ecosystem integration matters. Use it for coding workflows where roughly one in five end-to-end issue resolutions is an acceptable trade-off for a familiar API. Skip it if you want price competition between providers, measured chat quality scores, or broader reasoning benchmarks.
The case for it
- Identical pricing across both providers eliminates vendor shopping for cost.
- Documented throughput of 29 tokens per second on the primary host.
The case against it
- Coding benchmark is modest and narrowly tested: 21.6% on SWE-bench Verified with only one agent variant, and no other coding or reasoning scores disclosed.
- No price competition between its two offers — both charge the same rate.
How good is it?
EverydayGeneral questions and everyday reasoning
Not yet scored on Arena Text (overall).
CodingWriting and fixing code on its own
Not yet scored on Arena Coding.
AgenticPlanning, calling tools, staying on task
Not yet scored on Arena Agent. It is on SWE-bench Verified, in 39th of 42 with 21.6.
WritingDrafting and rewriting prose
Not yet scored on Arena Creative Writing.
Every published score for this model1 scoreEvery figure we hold, from 1 board, with who ran it and a link to the source — including the boards no rating above is built on.
Where to rent it
Prices checked 4 hours ago — each listing carries its own date.
OpenAI, direct
The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 128K of context.
- per 1M tokens
- $2.50 in / $10.00 out
- Context served
- 128K
- Throughput
- ~35 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $2.50 / $10.00checked 4 hours ago | 128K | not measured | Unknown | Unknown | Unknown |
| OpenAIDirect | $2.50 / $10.00checked 4 hours ago | 128K16K max reply | 35 tok/s | No | Yesunknown period | Unknown |
Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| OpenAIDirect | ✓ | ✓ | ✓ |
Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
Models people weigh against GPT-4o (2024-11-20)
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images and documents in, text out
- Catalogue slug
- openai-gpt-4o-2024-11-20