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GPT-6 Astra vs Grok-1.5

GPT-6 Astra leads the LLM Stats Score 58.5 to -2.7.

OpenAI · xAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 58.5 to -2.7, ranking #3 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.

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

Choose GPT-6 Astra

  • overall performance matters — it scores 58.5 and ranks #3 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 want the most recent training data — it shipped Sep 2026

Choose Grok-1.5

  • you are already invested in the xAI ecosystem

At a glance

The differences that matter most.

Core performance indexes
58.5
#3
-2.7
#356
57.3
#2
-2.2
#346
47.1
#3
-0.9
#261
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-6 Astra
Grok-1.5
33.5#56
4.9#283
40.2#4
-5.2#214
37.5#5
-2.7#174
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 9 for Grok-1.5

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Grok-1.5 is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Fri Oct 16 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
xAI
Grok-1.5
Input- tokens
Output- tokens
Fri Oct 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Grok-1.5 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

Text
Images
Audio
Video

Grok-1.5

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-6 Astra

Proprietary

Closed source

Grok-1.5

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Grok-1.5 was released on 2024-03-28.

GPT-6 Astra is 30 months newer than Grok-1.5.

GPT-6 Astra

Sep 4, 2026

1 months ago

2.4yr newer
Grok-1.5

Mar 28, 2024

2.5 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Grok-1.5'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 Grok-1.5's cutoff date.

GPT-6 Astra

Apr 2026

Grok-1.5

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Astra and Grok-1.5 side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Grok-1.5
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Grok-1.5.

Which is better, GPT-6 Astra or Grok-1.5?

GPT-6 Astra leads the LLM Stats Score 58.5 to -2.7. GPT-6 Astra is made by OpenAI and Grok-1.5 is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Astra compare to Grok-1.5 in benchmarks?

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%. Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%.

What are the context window sizes for GPT-6 Astra and Grok-1.5?

GPT-6 Astra supports 1.1M tokens and Grok-1.5 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Astra and Grok-1.5?

Key differences include LLM Stats Score (58.5 vs -2.7), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Grok-1.5?

GPT-6 Astra is developed by OpenAI and Grok-1.5 is developed by xAI.