GPT-4 (1106): benchmark scores, price and ranking

GPT-4 (1106) from OpenAI ranks #479 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.9), based on 3 benchmark results captured up to 2026-10-13.

Organisation
OpenAI
Type
Frontier model
Open weights
No
Released
2023-11-06 (source: name)
Cheapest API price
$30.00 in / $60.00 out per million tokens (via azure, observed 2026-10-13T20:47Z)
Aggregate rank
#479 of 743 (score 46.9)

Relative to other models, GPT-4 (1106) is strongest on SWE-bench Test (#6 of 11) and weakest on SWE-bench Verified (#65 of 73).

Across the 3 benchmarks where at least ten models are scored, GPT-4 (1106) is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $30.00 per million tokens, is lower than that of 1% of the 427 models with a listed price.

GPT-4 (1106) benchmark results

GPT-4 (1106) benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
SWE-bench Test12.5%#6 of 11SWE-bench Test leaderboard2026-10-13
SWE-bench Lite18.0%#14 of 20SWE-bench Lite leaderboard2026-10-13
SWE-bench Verified22.4%#65 of 73SWE-bench Verified leaderboard2026-10-13

About GPT-4 (1106)

GPT-4 (1106) is a frontier model from OpenAI. It was released on 2023-11-06, according to the model's own name. The cheapest API listing we track charges $30.00 per million input tokens and $60.00 per million output tokens, through azure. We hold 3 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where GPT-4 (1106) stands

On our aggregate score, GPT-4 (1106) is #479 of 743 ranked models, in the lower half. Its score is 46.9; the scale is centred on 50, so it sits 3.1 points below the typical model. That beats 36% of the ranked field. Among the 88 ranked OpenAI models it is #66. The next one up is GPT-5 mini (high) at 46.9. The next one down is o4-mini (high) at 46.8.

GPT-4 (1106), benchmark by benchmark

GPT-4 (1106) lands below the middle on SWE-bench Test: 12.5%, #6 of 11, with 45% of the field scoring higher. Claude 4.5 Opus leads at 52.6%; the closest result above is GPT-4o at 14.6%. It covers real GitHub issues resolved. The median score on this board is also 12.5%. Source: SWE-bench Test leaderboard, captured 2026-10-13.

GPT-4 (1106) lands below the middle on SWE-bench Lite: 18.0%, #14 of 20, with 65% of the field scoring higher. Claude 4 Sonnet leads at 56.7%; the closest result above is GPT-4 (0125) at 19.0%. It covers real GitHub issues resolved. The board median is 24.7%, so GPT-4 (1106) is 6.7 points below it. Source: SWE-bench Lite leaderboard, captured 2026-10-13.

SWE-bench Verified is a weak spot. GPT-4 (1106) scores 22.4%, #65 of 73, behind 88% of the models measured. The leader, Claude Opus 4.7 (max), reaches 83.5%. It covers real GitHub issues resolved. The board median is 56.4%, so GPT-4 (1106) is 34.0 points below it. Source: SWE-bench Verified leaderboard, captured 2026-10-13.

Strengths and weaknesses

Software engineering: weak, ahead of 20% of the field on average across 2 benchmarks. Its best board here is SWE-bench Lite (#14 of 20) and its weakest is SWE-bench Verified (#65 of 73).

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so GPT-4 (1106) 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 GPT-4.5 ($75.00) and GPT-4.5 Preview (Feb 2025) ($75.00).

Release history

The OpenAI model released before it was GPT-3.5 Turbo (Nov 2023) on 2023-11-06, which scores 45.4. The next one was gpt-4-turbo on 2023-11-06, at 45.4.

Reading these numbers

The 3 scores on this page come from 3 sources: SWE-bench Lite leaderboard (1), SWE-bench Test leaderboard (1), SWE-bench Verified leaderboard (1). 3 of them come from an official leaderboard and 0 from datasets or third-party runs. With 3 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

More from OpenAI

Compare it on the live leaderboard → · How the aggregate score works