Context
128K tokens (~64 books)
Input $/1M
$0.25
Output $/1M
$0.75
Type
text
License
Proprietary
Benchmarks
1 tested
Data as of
About
Mercury is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like GPT-4.1 Nano and Claude...
Tested on 1 benchmarks. Top scores: Chatbot Arena Elo — Overall (1306.1%).
Benchmark Scores
Compare AllTested on 1 benchmarks · Ranked across 1 categories
Score Distribution (all 312 models)
0255075100
arenaCompare arena →
Chatbot Arena Elo — Overall
1306·Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.
Quick compare:
vs Qwen3 Coder Next FP8vs Qwen2.5 Coder 32B Instruct AWQ
P
vs Speaker Diarization Community 1 Excellent (85+) Good (70-85) Average (50-70) Below (<50)
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BenchGecko API
mercury
Specifications
- Typetext
- Context128K tokens (~64 books)
- ReleasedJun 2025
- LicenseProprietary
- StatusActive
- Cost / Message~$0.001
Available On
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Frequently Asked Questions
Mercury is a proprietary text AI model by inception, released in June 2025. Context window: 128K tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenBenchmarks
Chatbot Arena Elo — OverallKey facts · as of 2026-04-14
- Mercury by inception. Not enough public benchmark scores to rank yet.
- List price $0.25 input · $0.75 output per 1M tokens (as of 2026-04-14).
How to cite · data as of 2026-04-14
Mercury · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-14. https://benchgecko.ai/model/mercury
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP