opus-3
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
opus-3 API pricing — full price table, workload cost examples, and cheaper alternatives.
Release and Capabilities
| Public release | 2024-03-04 |
|---|
Measured Coverage and Estimates
Opus 3 has 7 of 39 tracked IQ benchmark inputs across 4 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Academic Reasoning (IQ 93) and Reliability (IQ 87). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.
Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.
IQ Dimensions
| Dimension | IQ | Coverage |
|---|---|---|
| Abstract Reasoning | 75 | 1/5 |
| Mathematical Reasoning | 72 | 1/5 |
| Academic Reasoning | 93 | 4/6 |
| Programmatic Reasoning | 79 | 0/6 |
| Computer Use | 76 | 0/5 |
| Reliability | 87 | 1/6 |
| Knowledge Work | 79 | 0/6 |
Benchmark Results
| Benchmark | Score | Dimension |
|---|---|---|
| AIME | 3.3 | Mathematical Reasoning |
| Chess Puzzles | 5 | Abstract Reasoning |
| GPQA Diamond | 48.8889 | Academic Reasoning |
| Humanity's Last Exam | 2.75 | Academic Reasoning |
| MMLU-Pro | 68.45 | Academic Reasoning |
| SciCode | 23.3 | Academic Reasoning |
| SimpleQA Verified | 12.6 | Reliability |
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Frequently Asked Questions
- What is the IQ of opus-3?
- opus-3 has an estimated IQ of 80, which ranks #163 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- How much does opus-3 cost?
- opus-3 costs $15.00 per million input tokens and $75.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $51.43 per million input-plus-output tokens.
- Is opus-3 open source?
- No — opus-3 is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
- When was opus-3 released?
- opus-3 was publicly released on March 4, 2024.