gpt-4-turbo: benchmark scores, price and ranking

gpt-4-turbo from OpenAI ranks #585 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.4), based on 2 benchmark results captured up to 2026-10-13.

Organisation: OpenAI
Type: Frontier model
Open weights: No
Released: 2023-11-06 (source: curated)
Context window: 128,000 tokens
Cheapest API price: $10.00 in / $30.00 out per million tokens (via openai, observed 2026-10-13T20:47Z)
Aggregate rank: #585 of 743 (score 45.4)

Across the 2 benchmarks where at least ten models are scored, gpt-4-turbo is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $10.00 per million tokens, is lower than that of 4% of the 427 models with a listed price.

gpt-4-turbo benchmark results

gpt-4-turbo benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
DTBench	61.6%	#96 of 146	Epoch AI Benchmarking Hub	2026-10-13
LMCA	9.8%	#95 of 108	Epoch AI Benchmarking Hub	2026-10-13

About gpt-4-turbo

gpt-4-turbo is a frontier model from OpenAI. It was released on 2023-11-06, according to the developer's announcement. It accepts up to 128,000 tokens of input at once. The cheapest API listing we track charges $10.00 per million input tokens and $30.00 per million output tokens, through openai. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where gpt-4-turbo stands

On our aggregate score, gpt-4-turbo is #585 of 743 ranked models, in the lower half. Its score is 45.4; the scale is centred on 50, so it sits 4.6 points below the typical model. That beats 21% of the ranked field. Among the 88 ranked OpenAI models it is #71. The next one up is o3-mini-2025-01-31 (low) at 46.0. The next one down is GPT-3.5 Turbo (Nov 2023) at 45.4.

gpt-4-turbo, benchmark by benchmark

gpt-4-turbo lands below the middle on DTBench: 61.6%, #96 of 146, with 65% of the field scoring higher. Claude Opus 5.5 (max) leads at 98.9%; the closest result above is claude-3-opus-20240229 at 61.6%. It covers dynamic tool-use benchmark. The board median is 68.8%, so gpt-4-turbo is 7.2 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

LMCA is a weak spot. gpt-4-turbo scores 9.8%, #95 of 108, behind 87% of the models measured. The leader, Claude Opus 5.5 (max), reaches 68.2%. It covers language-model capability assessment. The board median is 29.2%, so gpt-4-turbo is 19.4 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

gpt-4-turbo 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-turbo 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). Similar scores cost more on Claude 3 Opus ($15.00) and GPT-4 (1106) ($30.00).

Release history

The OpenAI model released before it was GPT-4 (1106) on 2023-11-06, which scores 46.9. The next one was GPT-4 Turbo Preview (Nov 2023) on 2023-11-06, at 46.9.

Reading these numbers

The 2 scores on this page come from 1 source: Epoch AI Benchmarking Hub (2). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#582 ollama/codegeex4 (45.5)
#583 Claude 3.5 Sonnet (Oct 2024) (45.4)
#584 phi-4 (45.4)
#586 GPT-3.5 Turbo (Nov 2023) (45.4)
#587 internlm2-math-plus-20b (45.4)
#588 LLaDA-8B-Instruct (45.4)