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GPT-6.1 Sol vs Ling 3.1 Flash

GPT-6.1 Sol and Ling 3.1 Flash are closely matched at 54.3 and 51.1 on the LLM Stats Score.

OpenAI · InclusionAI · Updated for 2026

Which is better?

GPT-6.1 Sol and Ling 3.1 Flash are closely matched on the overall LLM Stats Score at 54.3 and 51.1.

In the 1 individual benchmarks reported for both models, Ling 3.1 Flash 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-6.1 Sol

  • you want predictable pricing at $2.00/M input and $10.00/M output

Choose Ling 3.1 Flash

  • 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

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
54.3
#5
51.1
#14
Reasoning
52.0
#7
47.7
#25
Coding
41.8
#8
39.2
#17
Agents
39.3
#6
38.3
#11
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6.1 Sol
Ling 3.1 Flash
Tool use
23.1#41
29.0#13
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 11 for Ling 3.1 Flash

1 shared

GPT-6.1 Sol outperforms in 0 benchmarks, while Ling 3.1 Flash is better at 1 benchmark (HealthBench Professional).

Ling 3.1 Flash significantly outperforms across most benchmarks.

Wed Oct 07 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-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Sol supports multimodal inputs, whereas Ling 3.1 Flash does not.

GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6.1 Sol

Text
Images
Audio
Video

Ling 3.1 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 0 month newer than GPT-6.1 Sol.

GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

1d newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Ling 3.1 Flash's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Ling 3.1 Flash's cutoff date.

GPT-6.1 Sol

Apr 2026

Ling 3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Ling 3.1 Flash.

Which is better, GPT-6.1 Sol or Ling 3.1 Flash?

GPT-6.1 Sol and Ling 3.1 Flash are closely matched on the LLM Stats Score at 54.3 and 51.1. GPT-6.1 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-6.1 Sol compare to Ling 3.1 Flash in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. 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-6.1 Sol and Ling 3.1 Flash?

GPT-6.1 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-6.1 Sol and Ling 3.1 Flash?

Key differences include LLM Stats Score (54.3 vs 51.1), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Ling 3.1 Flash?

GPT-6.1 Sol is developed by OpenAI and Ling 3.1 Flash is developed by InclusionAI.

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