GPT-4o-mini (2024-07-18)
OpenAI · released Jul 18, 2024
- Type
- Proprietary
- Input
- $0.15
- Output
- $0.60
- Cached
- $0.075
List price · per 1M tokens · OpenAI at 128K context · source ↗
Our take
Written Aug 3, 2026GPT-4o-mini is OpenAI's low-cost entry point to the GPT-4o family, handling text, images and files with a 128,000-token request limit. It offers broad benchmark coverage and consistent measured scores, though its parameter count remains undisclosed.
Pick this for budget inference in the GPT-4o family with image and file input, or for coding tasks where it scores highest among its own benchmarks. Use it for long-context work up to 128,000 tokens. Skip it if you need strong maths performance, transparent parameter counts, or the absolute best LiveCodeBench scores.
The case for it
- Broad benchmark coverage with consistent scores: Arena Text, Coding, Maths, Instruction Following and Creative Writing were all measured twice, with drift under 0.05 points in every repeated test.
- Coding strength relative to its general performance: Arena Coding 1348.689, about 31 points above its general chat score.
- Identical pricing across both tracked providers, so there is no arbitrage hunt needed.
The case against it
- Maths is its weakest Arena category, at 1275.6013 — more than 42 points below its Coding and general chat scores.
- LiveCodeBench performance is modest in absolute terms, at 35.5%.
- No parameter transparency: the parameter count and any active-parameter figure remain undisclosed.
How good is it?
IntelligencePuzzles, maths, exam questions
Arena Text (overall)118th of 143 · 1317.7
CodingWriting and fixing code on its own
Arena Coding120th of 143 · 1348.7
AgenticPlanning, calling tools, staying on task
Nobody we watch has scored GPT-4o-mini (2024-07-18) for this. We would take the rating from Arena Agent (IPS).
WritingWe do not rate this
Two boards come close and neither tests writing: Arena Creative Writing asks people which of two replies they prefer, and LiveBench Language tests whether a model understood a passage. So we show where GPT-4o-mini (2024-07-18) placed and give it no mark out of five.
These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.
Every published score for this model7 scoresEvery figure we hold, from 7 boards, with who ran it and a link to the source — including the boards no rating above is built on.
Or rent it from someone else
Why this differs from the header. The strip above quotes OpenAI's own list price. This is the cheapest live offer at the widest standard context we hold, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.
- per 1M tokens
- $0.15 in / $0.60 out
- Context served
- 128K
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouter | $0.15 / $0.60 | 128K | not measured | Unknown | Unknown | Unknown |
| OpenAI | $0.15 / $0.60 | 128K16K out | 64 tok/s | No | Yesunknown period | Unknown |
Across the 2 listings we hold: 1 say they do not train on prompts, 0 say they do and 1 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
- ✓
- Supported
- ✗
- Not supported
- Not published
- host gave no parameter list
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouter | ✓ | ✓ | ✓ |
| OpenAI | ✓ | ✓ | ✓ |
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-mini (2024-07-18)
When we formed this view
Dates behind this page
Prices last checked 9d ago
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 do not say whether they train on prompts.
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
Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.
Identifiers
- Modality record
- text+image+file->text
- Catalogue slug
- openai-gpt-4o-mini-2024-07-18