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GPT-6 Astra vs Ling 3.1 Flash

GPT-6 Astra leads the LLM Stats Score 58.3 to 51.0.

OpenAI · InclusionAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 58.3 to 51.0, ranking #3 overall.

In the 3 individual benchmarks reported for both models, Ling 3.1 Flash wins 2; 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 58.3 and ranks #3 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes

Choose Ling 3.1 Flash

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
58.3
#3
51.0
#15
Reasoning
56.7
#3
47.5
#26
Coding
47.8
#3
38.8
#18
Agents
44.9
#2
38.0
#12
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
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
Ling 3.1 Flash
Tool use
35.2#1
29.0#16
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 11 for Ling 3.1 Flash

3 shared

GPT-6 Astra outperforms in 1 benchmarks (Terminal-Bench 4.0), while Ling 3.1 Flash is better at 2 benchmarks (AutomationBench, HealthBench Professional).

Ling 3.1 Flash shows notably better performance in the majority of benchmarks.

Thu Oct 08 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
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Ling 3.1 Flash 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

Ling 3.1 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 1 month newer than GPT-6 Astra.

GPT-6 Astra

Sep 4, 2026

1 months ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

3w newer

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Ling 3.1 Flash'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 Ling 3.1 Flash's cutoff date.

GPT-6 Astra

Apr 2026

Ling 3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Astra and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Ling 3.1 Flash.

Which is better, GPT-6 Astra or Ling 3.1 Flash?

GPT-6 Astra leads the LLM Stats Score 58.3 to 51.0. GPT-6 Astra is made by OpenAI and Ling 3.1 Flash is made by InclusionAI. 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 Ling 3.1 Flash 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%. Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%.

What are the context window sizes for GPT-6 Astra and Ling 3.1 Flash?

GPT-6 Astra supports 1.1M tokens and Ling 3.1 Flash 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 Ling 3.1 Flash?

Key differences include LLM Stats Score (58.3 vs 51.0), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Ling 3.1 Flash?

GPT-6 Astra is developed by OpenAI and Ling 3.1 Flash is developed by InclusionAI.

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