Mercury 3 vs Seed 2.0 Pro
Mercury 3 and Seed 2.0 Pro are closely matched at 36.1 and 39.1 on the LLM Stats Score. Mercury 3 is 6.9x cheaper per token.
Inception · ByteDance · Updated for 2026
Which is better?
Mercury 3 and Seed 2.0 Pro are closely matched on the overall LLM Stats Score at 36.1 and 39.1.
In the 1 individual benchmarks reported for both models, Mercury 3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mercury 3 is roughly 6.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mercury 3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mercury 3
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 6.9x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Seed 2.0 Pro
- you want predictable pricing at $0.50/M input and $3.00/M output
At a glance
The differences that matter most.
Individual benchmarks
12 reported for Mercury 3 · 6 for Seed 2.0 Pro
Mercury 3 outperforms in 1 benchmarks (GPQA), while Seed 2.0 Pro is better at 0 benchmarks.
Mercury 3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mercury 3 ($0.10/1M tokens) is 5.0x cheaper than Seed 2.0 Pro ($0.50/1M tokens).
For output processing, Mercury 3 ($0.35/1M tokens) is 8.6x cheaper than Seed 2.0 Pro ($3.00/1M tokens).
In conclusion, Seed 2.0 Pro is more expensive than Mercury 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mercury 3 accepts 1,000,000 input tokens compared to Seed 2.0 Pro's 256,000 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Seed 2.0 Pro supports multimodal inputs, whereas Mercury 3 does not.
Seed 2.0 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mercury 3
Seed 2.0 Pro
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Mercury 3 was released on 2026-10-19, while Seed 2.0 Pro was released on 2026-02-14.
Mercury 3 is 8 months newer than Seed 2.0 Pro.
Oct 19, 2026
1 days ago
8mo newerFeb 14, 2026
8 months ago
Knowledge Cutoff
When training data ends
Seed 2.0 Pro has a documented knowledge cutoff of 2024-01-01, while Mercury 3's cutoff date is not specified.
We can confirm Seed 2.0 Pro's training data extends to 2024-01-01, but cannot make a direct comparison without Mercury 3's cutoff date.
—
Jan 2024
Provider Availability
Mercury 3 is available from Inception. Seed 2.0 Pro is available from DeepInfra.
Mercury 3
Seed 2.0 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Mercury 3 and Seed 2.0 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mercury 3 vs Seed 2.0 Pro.