gpt-5.4-search: benchmark scores, price and ranking
gpt-5.4-search from OpenAI is a recent or sparsely tested model with 1 benchmark result on record; it has not been measured on enough benchmarks shared with other models to receive an aggregate rank. This page lists every score we have, based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- OpenAI
- Type
- Frontier model
- Open weights
- No
- Aggregate rank
- Not ranked yet (too few shared benchmarks)
Across the 1 benchmark where at least ten models are scored, gpt-5.4-search is in the top 10% on 0 and in the top half on 1.
gpt-5.4-search benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| LMArena Search Elo | 1,197 | #11 of 28 | LMArena | 2026-10-13 |
About gpt-5.4-search
gpt-5.4-search is a frontier model from OpenAI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where gpt-5.4-search stands
gpt-5.4-search has 1 result so far and shares too few benchmarks with other models to get an aggregate rank. The rank will appear on its own once more scores are published.
gpt-5.4-search, benchmark by benchmark
LMArena Search Elo puts gpt-5.4-search at 1,197, #11 of 28. That beats 61% of the models tested, but 56 points short of claude-opus-4-6-search (1,253). The results either side are gemini-3-flash-grounding (1,198) and claude-sonnet-5-search (1,194). It covers crowd-voted web-search answers. The board median is 1,176, so gpt-5.4-search is 21 points above it. Source: LMArena, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: LMArena (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
More from OpenAI
- GPT-6 Astra (max) (#2, 64.0)
- GPT-6.1 Sol (max) (#5, 60.6)
- GPT-5.6 Sol (max) (#6, 60.1)
- GPT-6 Sol (max) (#7, 60.0)
- GPT-5.5 (xhigh) (#11, 58.0)
- GPT-5.6 Terra (max) (#12, 57.8)
Compare it on the live leaderboard → · How the aggregate score works