85.3%
MMLU-Pro (AA run)
Models / OpenAI
OpenAI o · Released 2025-04-16
OpenAI's April 2025 reasoning model. Extended thinking for math, code, and science. LiveBench 68.5%, LongBench v2 51.2%, BFCL 78.1%.
Reasoning-tier OpenAI pick when latency and cost are secondary to hardest single-shot problem solving.
85average across 7 tested families
Where OpenAI o3 places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| MATH | Math | #1/ 20 | 99 | Artificial Analysis | 2026-07-21 |
| LiveCodeBench | Coding | #4/ 13 | 81 | Artificial Analysis | 2026-07-21 |
| MMLU-Pro | Knowledge | #6/ 21 | 85 | Artificial Analysis | 2026-07-21 |
| AIME | Math | #8/ 19 | 88 | Artificial Analysis | 2026-07-21 |
| τ³-Bench Banking | Agentic | #11/ 64 | 81 | Artificial Analysis | 2026-07-21 |
| AA output speed | Performance | #16/ 69 | Artificial Analysis | 2026-07-21 | |
| AA time to first token | Performance | #26/ 69 | Artificial Analysis | 2026-07-21 | |
| AA-LCR | Long context | #27/ 64 | 69 | Artificial Analysis | 2026-07-21 |
| IFBench | Reasoning | #30/ 57 | 71 | Artificial Analysis | 2026-07-21 |
| GPQA Diamond | Reasoning | #43/ 69 | 83 | Artificial Analysis | 2026-07-21 |
| Humanity's Last Exam | Reasoning | #45/ 65 | 20 | Artificial Analysis | 2026-07-21 |
| Artificial Analysis Intelligence Index | Reasoning | #48/ 67 | 30 | Artificial Analysis | 2026-07-21 |
| SciCode | Coding | #49/ 65 | 41 | Artificial Analysis | 2026-07-21 |
| Terminal-Bench | Agentic | #55/ 69 | 37 | Artificial Analysis | 2026-07-21 |
The three highest-scoring carded models in each capability family. Where OpenAI o3 shows up, it's highlighted.
Benchmark rows added to the public ledger for OpenAI o3 in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA-LCR | Long context | 69.33% | Artificial Analysis | 2 |
| AA output speed | Performance | 155 t/s | Artificial Analysis | 2 |
| AA time to first token | Performance | 4.84s | Artificial Analysis | 2 |
| AIME | Math | 88.33% | Artificial Analysis | 2 |
| Artificial Analysis Intelligence Index | Reasoning | 30.4% | Artificial Analysis | 2 |
| GPQA Diamond | Reasoning | 82.7% | Artificial Analysis | 2 |
| Humanity's Last Exam | Reasoning | 20% | Artificial Analysis | 2 |
| IFBench | Reasoning | 71.43% | Artificial Analysis | 2 |
| LiveCodeBench | Coding | 80.8% | Artificial Analysis | 2 |
| MATH | Math | 99.2% | Artificial Analysis | 2 |
| MMLU-Pro | Knowledge | 85.3% | Artificial Analysis | 2 |
| SciCode | Coding | 41% | Artificial Analysis | 2 |
| τ³-Bench Banking | Agentic | 80.7% | Artificial Analysis | 2 |
| Terminal-Bench | Agentic | 37.12% | Artificial Analysis | 2 |
| BFCL | Tool use | 78.1% | Berkeley Function Calling Leaderboard V4 | 99 |
| LiveBench | Reasoning | 68.5% | LiveBench leaderboard | 99 |
| LongBench v2 | Long context | 51.2% | LongBench v2 leaderboard | 113 |
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover or tab any dot for name, score, and input price.
Every catalog benchmark for OpenAI o3. Scores link to the original source; gaps mean no public row exists yet.
19 of 32 catalog benchmarks have a sourced row for OpenAI o3.
85.3%
MMLU-Pro (AA run)
87.5%
ARC-AGI-1 high compute
30.4%
AA Intelligence Index v4.1
82.7%
GPQA Diamond (AA run)
20%
HLE (AA run)
71.43%
IFBench (AA run)
68.5%
LiveBench
94.8% pass@1
HumanEval
80.8%
LiveCodeBench (AA run)
41%
SciCode (AA run)
37.12%
Terminal-Bench Hard (AA run)
80.7%
τ²-Bench Banking (AA run; maps to τ³ explainer)
69.33%
AA-LCR (AA run)
51.2%
LongBench v2
78.1%
BFCL
155 t/s
Median output tokens/s (1k prompt, default provider)
4.84s
Median time to first token (1k prompt, default provider)