Claude Sonnet 4.6 vs Mercury 3
Claude Sonnet 4.6 and Mercury 3 are closely matched at 36.6 and 36.1 on the LLM Stats Score. Mercury 3 is 36.9x cheaper per token.
Anthropic · Inception · Updated for 2026
Which is better?
Claude Sonnet 4.6 and Mercury 3 are closely matched on the overall LLM Stats Score at 36.6 and 36.1.
In the 1 individual benchmarks reported for both models, Claude Sonnet 4.6 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mercury 3 is roughly 36.9x 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 Claude Sonnet 4.6
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Mercury 3
- cost matters — it's about 36.9x 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Claude Sonnet 4.6 · 12 for Mercury 3
Claude Sonnet 4.6 outperforms in 1 benchmarks (GPQA), while Mercury 3 is better at 0 benchmarks.
Claude Sonnet 4.6 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, Claude Sonnet 4.6 ($3.00/1M tokens) is 30.0x more expensive than Mercury 3 ($0.10/1M tokens).
For output processing, Claude Sonnet 4.6 ($15.00/1M tokens) is 42.9x more expensive than Mercury 3 ($0.35/1M tokens).
In conclusion, Claude Sonnet 4.6 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 Claude Sonnet 4.6's 200,000 tokens. Mercury 3 can generate longer responses up to 131,072 tokens, while Claude Sonnet 4.6 is limited to 64,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Sonnet 4.6 supports multimodal inputs, whereas Mercury 3 does not.
Claude Sonnet 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Sonnet 4.6
Mercury 3
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
Claude Sonnet 4.6 was released on 2026-02-17, while Mercury 3 was released on 2026-10-19.
Mercury 3 is 8 months newer than Claude Sonnet 4.6.
Feb 17, 2026
8 months ago
Oct 19, 2026
0 days ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Sonnet 4.6 is available from Anthropic, DeepInfra. Mercury 3 is available from Inception.
Claude Sonnet 4.6
Mercury 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Sonnet 4.6 and Mercury 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Sonnet 4.6 vs Mercury 3.