Inception, unknown

# Mercury

> Mercury by Inception. Ranked #199 of 354 with a Noometry Index of 37.6. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/mercury
- Last updated: 2026-10-10
- Title: Mercury Benchmarks, Price & Rank (October 2026) | Noometry

Mercury by Inception ranks 199th of 354 ranked models on the Noometry Index as of October 2026, with a score of 37.6. Its strongest category is coding, where it ranks 170th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #199 of 354
- **Index score:** 37.6
- **Evidence:** Confirmed 9 results
- **Provider:** [Inception](https://noometry.com/providers/inception)
- **Released:** Unknown
- **Weights:** Unknown
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** 35 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Mercury category scores

1.  Coding 38.7
2.  Reasoning 17.5
3.  Multilingual 41.6
4.  Instruction Following 65.2
5.  Long Context 38.4
6.  Writing & Preference 46.2
7.  020406080

Mercury category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 38.7 | #170 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 17.5 | #293 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 41.6 | #206 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 65.2 | #224 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 38.4 | #198 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 46.2 | #221 | 3 |

## Strengths and weaknesses

Categories where Mercury places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Mercury: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 38.7 | −0.0 | #170 of 340, top 50% |
| [Long Context](https://noometry.com/best/long-context) | 38.4 | −2.5 | #198 of 296, top 67% |
| [Multilingual](https://noometry.com/best/multilingual) | 41.6 | −5.8 | #206 of 297, top 70% |

### Weakest categories

Mercury: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 17.5 | −6.1 | #293 of 350, top 84% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 65.2 | −6.1 | #224 of 305, top 74% |
| [Writing & Preference](https://noometry.com/best/writing) | 46.2 | −7.6 | #221 of 312, top 71% |

## Closest competitors

The models ranked just above and below Mercury. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Mercury
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [DeepSeek-R1-Distill-Llama-70B](https://noometry.com/models/deepseek-r1-distill-llama-70b) | #195 | 37.8 | — | 18 | [Compare](https://noometry.com/compare/deepseek-r1-distill-llama-70b-vs-mercury) |
| [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) | #196 | 37.7 | $0.52 | — | [Compare](https://noometry.com/compare/mercury-vs-minimax-m2-7) |
| [Gemini Advanced 0514](https://noometry.com/models/gemini-advanced) | #197 | 37.7 | — | — | [Compare](https://noometry.com/compare/gemini-advanced-vs-mercury) |
| [Grok 2 Mini 2024 08 13](https://noometry.com/models/grok-2-mini) | #198 | 37.7 | — | — | [Compare](https://noometry.com/compare/grok-2-mini-vs-mercury) |
| [DeepSeek-V2.5 (Sep 2024)](https://noometry.com/models/deepseek-v2-5) | #200 | 37.6 | — | — | [Compare](https://noometry.com/compare/deepseek-v2-5-vs-mercury) |
| [Qwen3.6 35B-A3B](https://noometry.com/models/qwen3-6-35b-a3b) | #201 | 37.6 | $0.56 | — | [Compare](https://noometry.com/compare/mercury-vs-qwen3-6-35b-a3b) |
| [Hunyuan Large Vision](https://noometry.com/models/hunyuan-large-vision) | #202 | 37.6 | — | — | [Compare](https://noometry.com/compare/hunyuan-large-vision-vs-mercury) |
| [Llama 3.1 Nemotron 70b Instruct](https://noometry.com/models/llama-3-1-nemotron-70b-instruct) | #203 | 37.6 | — | — | [Compare](https://noometry.com/compare/llama-3-1-nemotron-70b-instruct-vs-mercury) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Mercury Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1322 | #181 of 294, top 62% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

Mercury Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 21.6% | #97 of 99, top 98% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1285 | #197 of 297, top 67% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

Mercury Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1260 | #206 of 297, top 70% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Mercury Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1239 | #222 of 298, top 75% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Mercury Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1266 | #212 of 291, top 73% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Mercury Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1282 | #207 of 297, top 70% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1191 | #237 of 295, top 81% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1282 | #199 of 295, top 68% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare Mercury

-   [Mercury vs Grok 2 Mini 2024 08 13](https://noometry.com/compare/grok-2-mini-vs-mercury)
-   [Mercury vs DeepSeek-V2.5 (Sep 2024)](https://noometry.com/compare/deepseek-v2-5-vs-mercury)
-   [Mercury vs Gemini Advanced 0514](https://noometry.com/compare/gemini-advanced-vs-mercury)
-   [Mercury vs Qwen3.6 35B-A3B](https://noometry.com/compare/mercury-vs-qwen3-6-35b-a3b)
-   [Mercury vs MiniMax-M2.7](https://noometry.com/compare/mercury-vs-minimax-m2-7)
-   [Mercury vs Hunyuan Large Vision](https://noometry.com/compare/hunyuan-large-vision-vs-mercury)
-   [Mercury vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-mercury)
-   [Mercury vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-mercury)
-   [Mercury vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-mercury)
-   [Mercury vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-mercury)
-   [Mercury vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-mercury)
-   [Mercury vs Qwen3.8 Max](https://noometry.com/compare/mercury-vs-qwen3-8-max)
-   [Mercury vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-mercury)
-   [Mercury vs Muse Spark 1.3](https://noometry.com/compare/mercury-vs-muse-spark-1-3)

## Other Inception models

-   [Mercury 2](https://noometry.com/models/mercury-2)39.1
-   [Mercury 2.5](https://noometry.com/models/mercury-2-5)33.5
-   [Mercury Edit 2](https://noometry.com/models/mercury-edit-2)

## Frequently asked questions

### How good is Mercury?

Mercury by Inception ranks 199th of 354 ranked models on the Noometry Index as of October 2026, with a score of 37.6. Its strongest category is coding, where it ranks 170th.

### Is Mercury open source?

Inception has not published downloadable weights for Mercury that we can confirm.

### How fast is Mercury?

Mercury generated about 35 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are Mercury's strengths and weaknesses?

Relative to other ranked models, Mercury places best in coding, long context, multilingual and lowest in reasoning, instruction following, writing & preference.

### What is Mercury best at?

Its best category is coding, where it ranks 170th on Noometry.

### Cite this page

Noometry. (2026). Mercury benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/mercury

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/mercury.md).