Inception: Mercury 2
This AI model, Inception: Mercury 2, is designed for text-based input and can handle contexts up to 128,000 tokens. It supports tools and reasoning capabilities, but does not provide structured output. If you're looking for an AI model that can handle lengthy text inputs and perform complex reasoning tasks at a relatively affordable price point, Inception: Mercury 2 may be worth considering. With a blended benchmark score of 15.6 across one independent benchmark, it holds its own in terms of performance, especially considering the $0.25 per million input tokens and $0.75 per million output tokens pricing structure.
Benchmark results
Independent, published benchmarks. Blended score 18.6 across 1 benchmark, last refreshed 2026-09-27. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 22.7 |
- Model ID
- inception/mercury-2
- Vendor
- inception
- Released
- March 2026
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 50,000 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.25/M input and $0.75/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.16 |
| A month of a busy support chatbot | 5M in / 2M out | $2.75 |
Similar models
Quick answers
- How much does Inception: Mercury 2 cost?
- $0.25 per million input tokens and $0.75 per million output tokens.
- What is Inception: Mercury 2's context window?
- 128,000 tokens, roughly 192 pages of text in a single request.
- Does Inception: Mercury 2 support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Inception: Mercury 2 process images?
- No, it is text-only on the input side.