GPT-4.5: benchmark scores, price and ranking

GPT-4.5 from OpenAI ranks #428 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.5), based on 2 benchmark results captured up to 2026-10-13.

Organisation: OpenAI
Type: Frontier model
Open weights: No
Released: 2025-02-27 (source: curated)
Cheapest API price: $75.00 in / $150.00 out per million tokens (via azure, observed 2026-10-13T20:47Z)
Aggregate rank: #428 of 743 (score 47.5)

Across the 2 benchmarks where at least ten models are scored, GPT-4.5 is in the top 10% on 0 and in the top half on 1.

Its cheapest listed input price, $75.00 per million tokens, is lower than that of 0% of the 427 models with a listed price.

GPT-4.5 benchmark results

GPT-4.5 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
Epoch ECI	137	#65 of 204	Epoch AI Benchmarking Hub	2026-10-13
ARC-AGI-2	0.8%	#75 of 87	ARC Prize official leaderboard	2026-10-13

About GPT-4.5

GPT-4.5 is a frontier model from OpenAI. It was released on 2025-02-27, according to the developer's announcement. The cheapest API listing we track charges $75.00 per million input tokens and $150.00 per million output tokens, through azure. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where GPT-4.5 stands

On our aggregate score, GPT-4.5 is #428 of 743 ranked models, around the middle of the table. Its score is 47.5; the scale is centred on 50, so it sits 2.5 points below the typical model. That beats 42% of the ranked field. Among the 88 ranked OpenAI models it is #54. The next one up is Codex Mini (Latest) at 47.5. The next one down is GPT-5.1 (Thinking, None) at 47.5.

GPT-4.5, benchmark by benchmark

Epoch ECI puts GPT-4.5 at 137, #65 of 204. That beats 68% of the models tested, but 20 points short of Qwen 3.8 Max (156). The results either side are GPT-4.1 (137) and Qwen3-30B-A3B (136). It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so GPT-4.5 is 9 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

ARC-AGI-2 is a weak spot. GPT-4.5 scores 0.8%, #75 of 87, behind 85% of the models measured. The leader, GPT-6 Astra (max), reaches 95.0%. It covers abstract reasoning, ARC Prize public eval set. The board median is 22.8%, so GPT-4.5 is 22.0 points below it. Source: ARC Prize official leaderboard, captured 2026-10-13.

Strengths and weaknesses

GPT-4.5 has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so GPT-4.5 costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5).

Release history

The OpenAI model released before it was chatgpt-4o-latest (2025-02-15) on 2025-02-15, which scores 48.6. The next one was GPT-4.5 Preview (Feb 2025) on 2025-02-27, at 46.6.

Reading these numbers

The 2 scores on this page come from 2 sources: ARC Prize official leaderboard (1), Epoch AI Benchmarking Hub (1). 1 of them come from an official leaderboard and 1 from datasets or third-party runs. With 2 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#425 Qwen3-235b-a22b Instruct (25/07) (47.5)
#426 Deepseek R1 (05/28) (47.5)
#427 Gemini 1.5 Pro (47.5)
#429 yi-coder:9b-chat-q4_0 (47.5)
#430 Llama 3.1-70B (47.5)
#431 gemini-2.0-flash-exp (47.5)