GPT-6 Astra vs Seed 2.0 Pro
GPT-6 Astra leads the LLM Stats Score 59.6 to 39.5. Seed 2.0 Pro is 17.8x cheaper per token.
OpenAI · ByteDance · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 59.6 to 39.5, ranking #1 overall.
In the 2 individual benchmarks reported for both models, GPT-6 Astra wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Seed 2.0 Pro is roughly 17.8x 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 59.6 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 2 of 2 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 Seed 2.0 Pro
- cost matters — it's about 17.8x 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 Seed 2.0 Pro
GPT-6 Astra outperforms in 2 benchmarks (BrowseComp, GPQA), while Seed 2.0 Pro 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 20.0x more expensive than Seed 2.0 Pro ($0.50/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 16.7x more expensive than Seed 2.0 Pro ($3.00/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Seed 2.0 Pro.*
* 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 Seed 2.0 Pro's 256,000 tokens. Seed 2.0 Pro can generate longer responses up to 131,072 tokens, while GPT-6 Astra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Astra and Seed 2.0 Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Astra
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
GPT-6 Astra was released on 2026-09-04, while Seed 2.0 Pro was released on 2026-02-14.
GPT-6 Astra is 7 months newer than Seed 2.0 Pro.
Sep 4, 2026
2 weeks ago
6mo newerFeb 14, 2026
7 months ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Seed 2.0 Pro has a cutoff of 2024-01-01.
GPT-6 Astra has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Seed 2.0 Pro (2024-01-01).
Apr 2026
2.3 yr newerJan 2024
Provider Availability
GPT-6 Astra is available from OpenAI. Seed 2.0 Pro is available from DeepInfra.
GPT-6 Astra
Seed 2.0 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Seed 2.0 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Seed 2.0 Pro.