Loading page…
Preferred languages
More languages supported by Google Translate
Open the selector to load the current language catalog.
Translations are provided by Google Translate.
Loading page…
Preferred languages
More languages supported by Google Translate
Open the selector to load the current language catalog.
Translations are provided by Google Translate.
Mercury 3 by Inception costs $0.10 per 1M input tokens and $0.35 per 1M output tokens and carries a context window of 1M tokens — observed 2026-10-23.
Inception · Proprietary · bench-align-v5
Seven axes from the ranking source. A missing axis is drawn as a gap.
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: ObservedUnavailable
| Measurement | Value | Observed | Last good | Evidence |
|---|---|---|---|---|
| Time to first token | Unavailable | Unavailable | Unavailable | |
| Throughput | 246 tok/s | 2026-10-23 | 2026-10-23 |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Every published price component, including cache reads and writes.
10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
8 matched benchmark rows with their published value, unit, and provenance.
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| GPQA-D GPQA Diamond | 89.2 | Graduate-level science questions | Graduate level | GPQA: A Graduate-Level Google-Proof Q&A Benchmark |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| DeepSWE DeepSWE | 46.3 | 113 software engineering tasks across 91 repositories and 5 languages | Long-horizon software engineering | DeepSWE benchmark blog |
Lifecycle events the source associates with this model, plus what this profile does not claim.
That is not evidence the model has no lifecycle plan — only that this source published none.
| Long-context retrieval |
| Hard long-context |
| Introducing GPT-5.2 and GPT-5.2 Pro |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| IFBench Instruction Following Benchmark | 76.84 | — | — | BenchLM |
| MultiChallenge (provider reports) MultiChallenge: provider-reported runs | 60.35 | — | — | MultiChallenge |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| DeepSearchQA DeepSearchQA | 71.3 | Agentic browsing and list-answer questions | Agentic web research | Muse Spark Eval Methodology |
| τ³-bench results τ³-Bench Tool-Agent-User Evaluation | 30.2 | Corrected customer-service tasks plus knowledge and voice evaluation modes | Long-horizon, multimodal, and knowledge-aware tool use | Official τ³-bench repository and release notes |
| BrowseComp+ BrowseComp-Plus | 55.18 | — | — | BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent |