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GPT-6 Astra vs IBM Granite 4.0 Tiny Preview

GPT-6 Astra leads the LLM Stats Score 60.7 to -5.3.

OpenAI · IBM · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to -5.3, ranking #1 overall.

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 want the most recent training data — it shipped Sep 2026

Choose IBM Granite 4.0 Tiny Preview

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
IBM Granite 4.0 Tiny Preview
IBM
Core performance indexes
LLM Stats Score
60.7
#1
-5.3
#346
Reasoning
58.7
#1
-5.3
#335
Coding
49.0
#1
3.0
#212
Cost, coverage & limits
Benchmark wins
—
—
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

1 shared
Index
GPT-6 Astra
IBM Granite 4.0 Tiny Preview
Math
35.3#42
-5.4#309
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 12 for IBM Granite 4.0 Tiny Preview

No common benchmarks found

GPT-6 Astra and IBM Granite 4.0 Tiny Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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
IBM
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas IBM Granite 4.0 Tiny Preview 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

IBM Granite 4.0 Tiny Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while IBM Granite 4.0 Tiny Preview uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6 Astra

Proprietary

Closed source

IBM Granite 4.0 Tiny Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

GPT-6 Astra is 16 months newer than IBM Granite 4.0 Tiny Preview.

GPT-6 Astra

Sep 4, 2026

1 days ago

1.3yr newer
IBM Granite 4.0 Tiny Preview

May 2, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while IBM Granite 4.0 Tiny Preview'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 IBM Granite 4.0 Tiny Preview's cutoff date.

GPT-6 Astra

Apr 2026

IBM Granite 4.0 Tiny Preview

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Astra and IBM Granite 4.0 Tiny Preview side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
IBM Granite 4.0 Tiny Preview
Open in Playground

FAQ

Common questions about GPT-6 Astra vs IBM Granite 4.0 Tiny Preview.

Which is better, GPT-6 Astra or IBM Granite 4.0 Tiny Preview?

GPT-6 Astra leads the LLM Stats Score 60.7 to -5.3. GPT-6 Astra is made by OpenAI and IBM Granite 4.0 Tiny Preview is made by IBM. 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 IBM Granite 4.0 Tiny Preview 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%. IBM Granite 4.0 Tiny Preview scores AttaQ: 86.1%, HumanEval: 82.4%, HumanEval+: 78.3%, GSM8k: 70.1%, IFEval: 63.0%.

What are the context window sizes for GPT-6 Astra and IBM Granite 4.0 Tiny Preview?

GPT-6 Astra supports 1.1M tokens and IBM Granite 4.0 Tiny Preview 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 IBM Granite 4.0 Tiny Preview?

Key differences include LLM Stats Score (60.7 vs -5.3), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and IBM Granite 4.0 Tiny Preview?

GPT-6 Astra is developed by OpenAI and IBM Granite 4.0 Tiny Preview is developed by IBM.

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