GPT-5
Multimodal
Zero-eval
#1SWE-Lancer (IC-Diamond subset)
#1COLLIE
#1Tau2 telecom
+30 more
by OpenAI
About
GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 telecom (96.7%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Pricing Range
Input (per 1M)$1.25 -$1.25
Output (per 1M)$10.00 -$10.00
Providers2
Timeline
AnnouncedAug 7, 2025
ReleasedAug 7, 2025
Knowledge CutoffSep 30, 2024
Specifications
Capabilities
Multimodal
License & Family
License
Proprietary
Benchmark Performance Overview
Performance metrics and category breakdown
Overall Performance
35 benchmarks
Average Score
70.1%
Best Score
100.0%
High Performers (80%+)
19Performance Metrics
Max Context Window
528.0KAvg Throughput
100.0 tok/sAvg Latency
2msTop Categories
code
93.4%
long_context
90.2%
vision
79.9%
general
74.3%
math
55.5%
Benchmark Performance
Top benchmark scores with normalized values (0-100%)
Ranking Across Benchmarks
Position relative to other models on each benchmark
SWE-Lancer (IC-Diamond subset)
Rank #1 of 4
#1GPT-5
100.0%
#2GPT-4.5
17.4%
#3GPT-4o
12.4%
#4o3-mini
7.4%
COLLIE
Rank #1 of 7
#1GPT-5
99.0%
#2o3-mini
98.7%
#3GPT-4.5
72.3%
#4GPT-4.1
65.8%
Tau2 telecom
Rank #1 of 3
#1GPT-5
96.7%
#2Kimi K2 Instruct
65.8%
#3o3
58.2%
OpenAI-MRCR: 2 needle 128k
Rank #1 of 5
#1GPT-5
95.2%
#2GPT-4.1
57.2%
#3GPT-4.1 mini
47.2%
#4GPT-4.1 nano
36.6%
AIME 2025
Rank #2 of 36
#1Grok-4 Heavy
100.0%
#2GPT-5
94.6%
#3Grok-3
93.3%
#4o4-mini
92.7%
#5Grok-4
91.7%
All Benchmark Results for GPT-5
Complete list of benchmark scores with detailed information
SWE-Lancer (IC-Diamond subset) SWE-Lancer (IC-Diamond subset) benchmark | general | text | 1.00 | 100.0% | Self-reported |
COLLIE COLLIE benchmark | general | text | 0.99 | 99.0% | Self-reported |
Tau2 telecom Tau2 telecom benchmark | general | text | 0.97 | 96.7% | Self-reported |
OpenAI-MRCR: 2 needle 128k OpenAI-MRCR: 2 needle 128k benchmark | long_context | text | 0.95 | 95.2% | Self-reported |
AIME 2025 AIME 2025 benchmark | general | text | 0.95 | 94.6% | Self-reported |
HumanEval HumanEval benchmark | code | text | 0.93 | 93.4% | Self-reported |
HMMT 2025 HMMT 2025 benchmark | general | text | 0.93 | 93.3% | Self-reported |
MMLU MMLU benchmark | general | text | 0.93 | 92.5% | Self-reported |
BrowseComp Long Context 128k BrowseComp long-context (128k) variant | long_context | text | 0.90 | 90.0% | Self-reported |
BrowseComp Long Context 256k BrowseComp long-context (256k) variant | long_context | text | 0.89 | 88.8% | Self-reported |
Showing 1 to 10 of 35 benchmarks