Mercury 3
IQ profile
IQ dimensions
Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.
Benchmark results
0 of 39 Composite IQ benchmarks have a published result for Mercury 3. Benchmarks without a result stay listed so gaps are visible.
Abstract Reasoning IQ 82 · estimatedNo published results0/5
Mathematical Reasoning IQ 96 · estimatedNo published results0/5
Academic Reasoning IQ 107 · estimatedNo published results0/6
Programmatic Reasoning IQ 99 · estimatedNo published results0/6
Computer Use IQ 95 · estimatedNo published results0/5
Reliability IQ 110 · estimatedNo published results0/6
Knowledge Work IQ 99 · estimatedNo published results0/6
Release & availability
Facts from the publisher's announcement and documentation.
- Released
- Developer
- Inception
- Access
- Available through the Inception API Platform, OpenRouter, Baseten and Vercel.
- Weights
- ProprietaryHosted access only
- Inputs
- text
- Context
- 1,000,000 tokens
- API price
- $0.20 in · $0.70 outper 1M tokens · full pricing
What Inception says
- Diffusion language model with a 1M-token context window.
Limitations
- Launch promotional pricing is temporary; listed prices use the publisher standard rates.
- Publisher throughput and agent-harness claims are not imported as independent measurements.
Publisher statements, not AI IQ measurements.
About this score
How much of Mercury 3's IQ is measured, and how the rest is estimated.
Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.
Abstract Reasoning, Mathematical Reasoning, Academic Reasoning, Programmatic Reasoning, Computer Use, Reliability and Knowledge Work have no published results yet, so their IQ is estimated from Mercury 3's other dimensions. Missing benchmarks can also draw on its predecessor, Mercury 2.5; a predecessor is an estimation input, not evidence that this model has the predecessor's measured results.
Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.
Compare Mercury 3
Side-by-side pages for the models it is most often weighed against.
Frequently asked questions
Quick answers about Mercury 3, drawn from the same data as the rest of this page.
How AI IQ scores models →Get this data from the API →- What is the IQ of Mercury 3?
- Mercury 3 has an estimated IQ of 98, which ranks #135 out of 173 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.
- What is Mercury 3 best at?
- There isn't any published benchmark data to judge that yet. None of the seven dimensions AI IQ scores has a measured result for Mercury 3, so its strengths and weaknesses can't be compared with other models.
- What is the EQ of Mercury 3?
- Mercury 3 doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for Mercury 3. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
- Which benchmarks has Mercury 3 been tested on?
- None yet. Mercury 3 has no published results on the 39 benchmarks behind AI IQ's Composite IQ. AI IQ only uses published, source-backed results, so its profile fills in as evaluations of this model appear.
- How much does Mercury 3 cost?
- Mercury 3 costs $0.20 per million input tokens and $0.70 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.3998 per million input-plus-output tokens.
- Is Mercury 3 open source?
- No — Mercury 3 is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
- Who developed Mercury 3?
- Mercury 3 was developed by Inception, based in the United States.
- When was Mercury 3 released?
- Mercury 3 was publicly released on October 19, 2026.
- How large is the context window of Mercury 3?
- Mercury 3 supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.
- How fast is Mercury 3?
- AI IQ doesn't have independent speed measurements for Mercury 3 yet. Speed comes from independent tests of a model's hosted API, which aren't available for every model — especially new, restricted-access, or self-hosted ones.