Inception: Mercury 2
Inception • LLM
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...
Specifications
Context Window
128K tokens
Input Price/1M
$0.25
Output Price/1M
$0.75
Parameters
—
Speed
938 tok/s
Latency (TTFT)
2.6s
Max Output
50K tokens
Benchmarks
Inception: Mercury 2 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 27.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 39.0 | 100.0 | — |
| AA Coding Index | 30.6 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 36.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 32.8 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 77.0 | 100.0 | Artificial Analysis official API |
| IFBench | 70.0 | 100.0 | — |
| HLE | 16.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 71.0 | 100.0 | — |
Information
- Release date
- February 20, 2026
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Inception: Mercury 2
What is Inception: Mercury 2?
Inception: Mercury 2 is an AI model developed by Inception, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Inception's cloud API. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Inception: Mercury 2 is usage-based, priced at $0.25/1M input tokens and $0.75/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Inception: Mercury 2 was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Inception: Mercury 2 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), high-volume chatbots and automated support, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Inception: Mercury 2 competes directly with similarly capable models. Inception competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Inception: 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...
How much does Inception: Mercury 2 cost?
Inception: Mercury 2 costs $0.25/1M input tokens and $0.75/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Inception: Mercury 2 compare with other models?
In available benchmarks, Inception: Mercury 2 scored: Terminal-Bench Hard: 27/100, SciCode: 39/100, AA Coding Index: 30.6/100. See the full table above for a detailed comparison.
Is Inception: Mercury 2 open source?
No, Inception: Mercury 2 is a proprietary model from Inception. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Inception: Mercury 2 best for?
Inception: Mercury 2 excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →