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GPT-5.6 Sol vs Ling 3.1 Flash

GPT-5.6 Sol and Ling 3.1 Flash are closely matched at 53.5 and 51.0 on the LLM Stats Score.

OpenAI · InclusionAI · Updated for 2026

Which is better?

GPT-5.6 Sol and Ling 3.1 Flash are closely matched on the overall LLM Stats Score at 53.5 and 51.0.

In the 3 individual benchmarks reported for both models, Ling 3.1 Flash wins 3; 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-5.6 Sol

  • you want predictable pricing at $5.00/M input and $30.00/M output

Choose Ling 3.1 Flash

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

At a glance

The differences that matter most.

Core performance indexes
53.5
#8
51.0
#15
52.6
#6
47.5
#26
43.7
#7
38.8
#18
39.3
#5
38.0
#12
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$5.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5.6 Sol
Ling 3.1 Flash
28.8#17
29.0#16
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Sol · 11 for Ling 3.1 Flash

3 shared

GPT-5.6 Sol outperforms in 0 benchmarks, while Ling 3.1 Flash is better at 3 benchmarks (AutomationBench, HealthBench Professional, Terminal-Bench 4.0).

Ling 3.1 Flash significantly outperforms across most 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-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Sol
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-5.6 Sol supports multimodal inputs, whereas Ling 3.1 Flash does not.

GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Sol

Text
Images
Audio
Video

Ling 3.1 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 3 months newer than GPT-5.6 Sol.

GPT-5.6 Sol

Jul 9, 2026

3 months ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Ling 3.1 Flash's cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Ling 3.1 Flash's cutoff date.

GPT-5.6 Sol

Feb 2026

Ling 3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about GPT-5.6 Sol vs Ling 3.1 Flash.

Which is better, GPT-5.6 Sol or Ling 3.1 Flash?

GPT-5.6 Sol and Ling 3.1 Flash are closely matched on the LLM Stats Score at 53.5 and 51.0. GPT-5.6 Sol 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-5.6 Sol compare to Ling 3.1 Flash in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. 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-5.6 Sol and Ling 3.1 Flash?

GPT-5.6 Sol 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-5.6 Sol and Ling 3.1 Flash?

Key differences include LLM Stats Score (53.5 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-5.6 Sol and Ling 3.1 Flash?

GPT-5.6 Sol is developed by OpenAI and Ling 3.1 Flash is developed by InclusionAI.