GPT-4 (Jun 2023): benchmark scores, price and ranking
GPT-4 (Jun 2023) from OpenAI ranks #727 of 743 LLMs on the LLMs Tiger aggregate benchmark score (41.2), based on 8 benchmark results captured up to 2026-10-13.
- Organisation
- OpenAI
- Type
- Frontier model
- Open weights
- No
- Released
- 2023-06-13 (source: epoch)
- Cheapest API price
- $30.00 in / $60.00 out per million tokens (via azure, observed 2026-10-13T19:47Z)
- Aggregate rank
- #727 of 743 (score 41.2)
Relative to other models, GPT-4 (Jun 2023) is strongest on Epoch ECI (#117 of 204) and weakest on OTIS Mock AIME (#181 of 189).
Across the 8 benchmarks where at least ten models are scored, GPT-4 (Jun 2023) 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 (Jun 2023) benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Epoch ECI | 123 | #117 of 204 | Epoch AI Benchmarking Hub | 2026-10-13 |
| DTBench | 62.7% | #91 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
| Chess Puzzles | 4.0% | #83 of 122 | Epoch AI Benchmarking Hub | 2026-10-13 |
| Mystery Games | 12.0% | #43 of 59 | Epoch AI Benchmarking Hub | 2026-10-13 |
| LMCA | 17.1% | #80 of 108 | Epoch AI Benchmarking Hub | 2026-10-13 |
| GPQA Diamond | 30.6% | #249 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
| WeirdML | 12.4% | #100 of 109 | Epoch AI Benchmarking Hub | 2026-10-13 |
| OTIS Mock AIME | 1.1% | #181 of 189 | Epoch AI Benchmarking Hub | 2026-10-13 |
About GPT-4 (Jun 2023)
GPT-4 (Jun 2023) is a frontier model from OpenAI. It was released on 2023-06-13, according to Epoch AI. The cheapest API listing we track charges $30.00 per million input tokens and $60.00 per million output tokens, through azure. We hold 8 benchmark results for it across 3 areas, and none is in the top tenth of its board.
Where GPT-4 (Jun 2023) stands
On our aggregate score, GPT-4 (Jun 2023) is #727 of 743 ranked models, in the lower half. Its score is 41.2; the scale is centred on 50, so it sits 8.8 points below the typical model. That beats 2% of the ranked field. Among the 88 ranked OpenAI models it is #85. The next one up is GPT-4o (Aug 2024) at 42.2. The next one down is GPT-4.1 nano at 38.7.
GPT-4 (Jun 2023), benchmark by benchmark
GPT-4 (Jun 2023) lands below the middle on Epoch ECI: 123, #117 of 204, with 57% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is Gemma 3 12B at 124. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so GPT-4 (Jun 2023) is 4 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPT-4 (Jun 2023) lands below the middle on DTBench: 62.7%, #91 of 146, with 62% of the field scoring higher. Claude Opus 5.5 (max) leads at 98.9%; the closest result above is deepseek-chat at 62.7%. It covers dynamic tool-use benchmark. The board median is 68.8%, so GPT-4 (Jun 2023) is 6.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPT-4 (Jun 2023) lands below the middle on Chess Puzzles: 4.0%, #83 of 122, with 67% of the field scoring higher. GPT-6 Astra (max) leads at 72.0%; the closest result above is QwQ-32B at 5.0%. It covers chess tactics puzzles. The board median is 12.5%, so GPT-4 (Jun 2023) is 8.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPT-4 (Jun 2023) lands below the middle on Mystery Games: 12.0%, #43 of 59, with 71% of the field scoring higher. GPT-6 Astra (max) leads at 84.0%; the closest result above is Qwen3.7 Flash at 15.0%. It covers deductive reasoning puzzles. The board median is 23.0%, so GPT-4 (Jun 2023) is 11.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPT-4 (Jun 2023) lands below the middle on LMCA: 17.1%, #80 of 108, with 73% of the field scoring higher. Claude Opus 5.5 (max) leads at 68.2%; the closest result above is Qwen3-32B at 17.3%. It covers language-model capability assessment. The board median is 29.2%, so GPT-4 (Jun 2023) is 12.2 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPQA Diamond is a weak spot. GPT-4 (Jun 2023) scores 30.6%, #249 of 275, behind 90% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so GPT-4 (Jun 2023) is 41.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
WeirdML is a weak spot. GPT-4 (Jun 2023) scores 12.4%, #100 of 109, behind 91% of the models measured. The leader, GPT-6 Astra (max), reaches 93.3%. It covers unusual machine-learning tasks. The board median is 41.2%, so GPT-4 (Jun 2023) is 28.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
OTIS Mock AIME is a weak spot. GPT-4 (Jun 2023) scores 1.1%, #181 of 189, behind 95% of the models measured. The leader, Claude Fable 5.1 (max), reaches 100.0%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so GPT-4 (Jun 2023) is 56.7 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Reasoning, maths and science: weak, ahead of 7% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#249 of 275) and its weakest is OTIS Mock AIME (#181 of 189). General knowledge and chat: weak, ahead of 27% of the field on average across 5 benchmarks. Its best board here is Epoch ECI (#117 of 204) and its weakest is WeirdML (#100 of 109).
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so GPT-4 (Jun 2023) 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 GPT-4 (0613) on 2023-06-13, which scores 50.8. The next one was GPT-3.5 Turbo (Nov 2023) on 2023-11-06, at 45.4.
Reading these numbers
The 8 scores on this page come from 1 source: Epoch AI Benchmarking Hub (8). No official leaderboard supplied any of them, so treat them as third-party measurements.
Models ranked nearby
- #724 Claude 3.5 Haiku (Oct 2024) (41.3)
- #725 ministral-3b-2410 (41.3)
- #726 c4ai-command-r-08-2024 (41.3)
- #728 c4ai-command-r-plus-08-2024 (41.2)
- #729 Llama-3.2-1B-Instruct (41.1)
- #730 open-mistral-7b (41.0)
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