GPT-5.4 Mini
OpenAI · released Mar 17, 2026
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
Specification
- Context window
- 400K
- Max output
- 128K
- Knowledge cutoff
- Aug 31, 2025
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 2
- Moderated
- Yes
- Uptime
- 100.0%
Intelligence
40.9
89th percentile
Coding
56.1
Coding Index
Agentic
31.5
Agentic Index
Output speed
104 t/s
Median across providers
Latency
828ms
Time to first token
Cost per task
$0.40
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- GPQA Diamond87.5%
- τ²-bench (Telecom)83.3%
- IFBench73.3%
- AA-LCR (long context)73.0%
- Terminal-Bench Hard52.3%
- SciCode49.9%
- Humanity's Last Exam28.1%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| GPQA Diamond | 87.5% |
| τ²-bench (Telecom) | 83.3% |
| IFBench | 73.3% |
| AA-LCR (long context) | 73.0% |
| Terminal-Bench Hard | 52.3% |
| SciCode | 49.9% |
| Humanity's Last Exam | 28.1% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- Nex-N2-ProNex AGI41.7
- Inkling SmallThinking Machines41.2
- GPT-5.2-CodexOpenAI41.2
- 41.1
- GLM 5.1Z.ai41.0
- GPT-5.4 MiniOpenAI40.9
- GLM 5Z.ai40.6
- Qwen3.6 PlusQwen40.5
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Nex-N2-Pro | 41.7 |
| Inkling Small | 41.2 |
| GPT-5.2-Codex | 41.2 |
| Qwen3.6 Max Preview | 41.1 |
| GLM 5.1 | 41.0 |
| GPT-5.4 Mini | 40.9 |
| GLM 5 | 40.6 |
| Qwen3.6 Plus | 40.5 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.75
- Output / 1M tokens
- $4.5
- Cached input / 1M
- $0.075
- Blended 3:1
- $1.69
One task, estimated
$0.40
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).