89.8%
MMLU
Models / OpenAI
GPT 5 · Released 2026-03-05
OpenAI's March 2026 model. AA Intelligence Index 56.8 (#5 globally). SWE-bench Verified 80.0%, Terminal-Bench 2.0 81.8% (ForgeCode). ARC-AGI-2 83.3% (Pro variant). 256K context, $7 / $28 per 1M tokens — 44% cheaper than GPT 5.5 on input.
Default for production OpenAI workloads where GPT 5.5 is overkill but GPT 5.2 is too old. The Pro variant leads ARC-AGI-2 among non-OpenAI competitors at 83.3%.
83average across 7 tested families
Where GPT 5.4 places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
The three highest-scoring carded models in each capability family. Where GPT 5.4 shows up, it's highlighted.
Benchmark rows added to the public ledger for GPT 5.4 in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA-LCR | Long context | 74% | Artificial Analysis | 2 |
| AA output speed | Performance | 152 t/s | Artificial Analysis | 2 |
| AA time to first token | Performance | 129.43s | Artificial Analysis | 2 |
| Artificial Analysis Intelligence Index | Reasoning | 51.4% | Artificial Analysis | 2 |
| GPQA Diamond | Reasoning | 92% | Artificial Analysis | 2 |
| Humanity's Last Exam | Reasoning | 41.6% | Artificial Analysis | 2 |
| IFBench | Reasoning | 73.95% | Artificial Analysis | 2 |
| SciCode | Coding | 56.6% | Artificial Analysis | 2 |
| τ³-Bench Banking | Agentic | 30.31% | Artificial Analysis | 2 |
| DeepSWE | Coding | 52% | DeepSWE leaderboard v1.1 | 33 |
| SWE-bench Verified | Coding | 80% | SWE-bench official leaderboard | 54 |
| LMArena (Chatbot Arena) | Human preference | 1405 | LMArena leaderboard | 59 |
| Terminal-Bench | Agentic | 81.8% | Terminal-Bench 2.0 leaderboard | 64 |
| BFCL | Tool use | 83.8% | Berkeley Function Calling Leaderboard V4 | 99 |
| LiveBench | Reasoning | 66.4% | LiveBench leaderboard | 99 |
| LongBench v2 | Long context | 54.2% | LongBench v2 leaderboard | 113 |
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover or tab any dot for name, score, and input price.
Every catalog benchmark for GPT 5.4. Scores link to the original source; gaps mean no public row exists yet.
18 of 32 catalog benchmarks have a sourced row for GPT 5.4.
89.8%
MMLU
0.2%
ARC-AGI-3 semi-private
51.4%
AA Intelligence Index v4.1
92%
GPQA Diamond (AA run)
41.6%
HLE (AA run)
73.95%
IFBench (AA run)
66.4%
LiveBench
52%
DeepSWE pass@1 (xhigh effort)
56.6%
SciCode (AA run)
80%
SWE-bench Verified
81.8%
Terminal-Bench 2.0 (audited harness)
30.31%
τ³-Bench Banking (AA run)
74%
AA-LCR (AA run)
54.2%
LongBench v2
83.8%
BFCL
152 t/s
Median output tokens/s (1k prompt, default provider)
129.43s
Median time to first token (1k prompt, default provider)
1405
LMArena Elo (Style Controlled)