GPT-6 Astra vs Mercury 2
GPT-6 Astra leads the LLM Stats Score 60.7 to 23.7. Mercury 2 is 53.3x cheaper per token.
OpenAI · Inception · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 23.7, ranking #1 overall.
In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mercury 2 is roughly 53.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 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 GPT-6 Astra
- overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Mercury 2
- cost matters — it's about 53.3x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for GPT-6 Astra · 6 for Mercury 2
GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Mercury 2 is better at 0 benchmarks.
GPT-6 Astra 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, GPT-6 Astra ($10.00/1M tokens) is 40.0x more expensive than Mercury 2 ($0.25/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 66.7x more expensive than Mercury 2 ($0.75/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Mercury 2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Mercury 2's 128,000 tokens. GPT-6 Astra can generate longer responses up to 128,000 tokens, while Mercury 2 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas Mercury 2 does not.
GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Astra
Mercury 2
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
GPT-6 Astra was released on 2026-09-03, while Mercury 2 was released on 2026-02-24.
GPT-6 Astra is 6 months newer than Mercury 2.
Sep 3, 2026
1 days ago
6mo newerFeb 24, 2026
6 months ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Mercury 2's cutoff date is not specified.
We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Mercury 2's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. Mercury 2 is available from Inception.
GPT-6 Astra
Mercury 2
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Mercury 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Mercury 2.