10.8
Intelligence Index
Above 34% of 106 other free models
In
Mercury 2
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...
- Input
- text
- Output
- text
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
31.1
Coding Index
Above 41% of 60 other free models
1.6
Agentic Index
Above 34% of 41 other free models
Bars show scores from other free models on this site. The marker shows this model’s score. Comparisons include only models with a score for that index.
Scores from Artificial AnalysisFrequently asked questions
Free access, setup, and what to expect.
Free API access for Mercury 2 is listed through Vercel AI Gateway, but a specific request or token allowance isn’t available in the listed data. Check the Mercury 2 provider pricing and rate limits for what’s included and any account requirements.
To use Mercury 2, choose one of the listed Mercury 2 API providers and follow the provider’s account and API-key setup guide. Copy the Mercury 2 model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Mercury 2 accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Mercury 2 documentation for supported file types and request formats.
Mercury 2 has a listed context window of 128K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Mercury 2 may be smaller than the context window and can vary by provider.
Mercury 2 has both reasoning and tool calling listed as supported capabilities. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
Review the listed Mercury 2 benchmark results to compare performance on measured tasks. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Mercury 2 on examples from your own task alongside context size and provider limits.