The AI arena is free today

Open Superagent

GPT-5.5 Pro vs GPT-6 Astra

GPT-6 Astra leads the LLM Stats Score 60.3 to 44.9. GPT-6 Astra is 3.4x cheaper per token.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.3 to 44.9, 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, GPT-6 Astra is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-5.5 Pro

  • you want predictable pricing at $30.00/M input and $180.00/M output

Choose GPT-6 Astra

  • overall performance matters — it scores 60.3 and ranks #1 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 3.4x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
44.9
#34
60.3
#1
44.7
#31
58.2
#1
28.3
#39
46.4
#1
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$30.00 / M
$10.00 / M
Output price
$180.00 / M
$50.00 / M
Context window
1,050,000
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5.5 Pro
GPT-6 Astra
37.2#30
35.9#42
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-5.5 Pro · 22 for GPT-6 Astra

1 shared

GPT-5.5 Pro outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (BrowseComp).

GPT-6 Astra significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-6 Astra costs less

For input processing, GPT-5.5 Pro ($30.00/1M tokens) is 3.0x more expensive than GPT-6 Astra ($10.00/1M tokens).

For output processing, GPT-5.5 Pro ($180.00/1M tokens) is 3.6x more expensive than GPT-6 Astra ($50.00/1M tokens).

In conclusion, GPT-5.5 Pro is more expensive than GPT-6 Astra.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Sep 10 2026 • llm-stats.com
OpenAI
GPT-5.5 Pro
Input tokens$30.00
Output tokens$180.00
Best providerOpenAI
OpenAI
GPT-6 Astra
Input tokens$10.00
Output tokens$50.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,050,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.5 Pro
Input1,050,000 tokens
Output128,000 tokens
OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.5 Pro and GPT-6 Astra support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.5 Pro

Text
Images
Audio
Video

GPT-6 Astra

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-5.5 Pro

Proprietary

Closed source

GPT-6 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.5 Pro was released on 2026-04-23, while GPT-6 Astra was released on 2026-09-04.

GPT-6 Astra is 4 months newer than GPT-5.5 Pro.

GPT-5.5 Pro

Apr 23, 2026

4 months ago

GPT-6 Astra

Sep 4, 2026

6 days ago

4mo newer

Knowledge Cutoff

When training data ends

GPT-5.5 Pro has a knowledge cutoff of 2025-12-01, while GPT-6 Astra has a cutoff of 2026-04-30.

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 GPT-5.5 Pro (2025-12-01).

GPT-5.5 Pro

Dec 2025

GPT-6 Astra

Apr 2026

4 mo newer

Provider Availability

GPT-5.5 Pro is available from OpenAI. GPT-6 Astra is available from OpenAI.

GPT-5.5 Pro

openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $180.00/1M

GPT-6 Astra

openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.5 Pro and GPT-6 Astra side-by-side, then vote on the output you prefer.

GPT-5.5 Pro
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about GPT-5.5 Pro vs GPT-6 Astra.

Which is better, GPT-5.5 Pro or GPT-6 Astra?

GPT-6 Astra leads the LLM Stats Score 60.3 to 44.9. GPT-5.5 Pro is made by OpenAI and GPT-6 Astra is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.5 Pro compare to GPT-6 Astra in benchmarks?

GPT-5.5 Pro scores BrowseComp: 90.1%, GDPval-MM: 82.3%, Humanity's Last Exam: 57.2%, FrontierMath: 39.6%, GeneBench: 33.2%. GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%.

Is GPT-5.5 Pro cheaper than GPT-6 Astra?

GPT-6 Astra is 3.0x cheaper for input tokens. GPT-5.5 Pro costs $30.00/M input and $180.00/M output via openai. GPT-6 Astra costs $10.00/M input and $50.00/M output via openai.

What are the context window sizes for GPT-5.5 Pro and GPT-6 Astra?

GPT-5.5 Pro supports 1.1M tokens and GPT-6 Astra supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.5 Pro and GPT-6 Astra?

Key differences include LLM Stats Score (44.9 vs 60.3), input pricing ($30.00 vs $10.00/M). See the full comparison above for benchmark-by-benchmark results.