Inception: Mercury 2
inception/mercury-2
Mercury 2 doesn't decode sequentially. It generates responses through parallel refinement, producing multiple tokens simultaneously and converging over a small number of steps. Less typewriter, more editor revising a full draft at once. The result: >5x faster generation with a fundamentally different speed curve. That speed advantage also changes the reasoning trade-off. Today, higher intelligence means more test-time compute — longer chains, more samples, more retries — bought at the direct expense of latency and cost. Diffusion-based reasoning gets you reasoning-grade quality inside real-time latency budgets.
Model specifications
- Input
- text
- Output
- text
- Context
- 128,000 tokens
- Max output
- 128,000 tokens
- Input price
- $0.25 / 1M tokens
- Output price
- $0.75 / 1M tokens
- Released
- 2026-02-26
Capabilities
- Streaming
- Function calling
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.25 / 1M tokens · tier output average $0.75 / 1M tokens
Inception
Tier: Standard
Pricing
- Input
- $0.25 / 1M tokens
- Output
- $0.75 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Zero data retention
- No
- Data retention
- Unknown retention
- Used for training
- Unknown
- Data collection
- Moderated
- Yes
- GDPR compliant
- No
- HIPAA compliant
- No
- SOC 2 certified
- No
- BYOK supported
- No
Privacy policy · Terms · Official website · Documentation · Support
Frequently asked questions
- What is Inception: Mercury 2?
- Mercury 2 doesn't decode sequentially. It generates responses through parallel refinement, producing multiple tokens simultaneously and converging over a small number of steps. Less typewriter, more editor revising a full draft at once. The result: >5x faster generation with a fundamentally different speed curve. That speed advantage also changes the reasoning trade-off. Today, higher intelligence means more test-time compute — longer chains, more samples, more retries — bought at the direct expense of latency and cost. Diffusion-based reasoning gets you reasoning-grade quality inside real-time latency budgets.
- How much does Inception: Mercury 2 cost?
- Input costs start at $0.25 / 1M tokens and output costs start at $0.75 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Inception: Mercury 2?
- Inception: Mercury 2 supports a 128,000 token context window and up to 128,000 output tokens.
- What capabilities does Inception: Mercury 2 support?
- Inception: Mercury 2 supports Streaming, Function calling, JSON mode, Playground.
- Which providers offer Inception: Mercury 2?
- Inception: Mercury 2 is available from Inception.
- How do providers handle data privacy for Inception: Mercury 2?
- 1 of 1 providers report that customer data is not used for training, and 0 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.