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GPT-4 Turbo vs Ling 3.1 Flash

Ling 3.1 Flash leads the LLM Stats Score 50.9 to 9.0.

OpenAI · InclusionAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 50.9 to 9.0, ranking #14 overall.

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

Choose GPT-4 Turbo

  • you want predictable pricing at $10.00/M input and $30.00/M output

Choose Ling 3.1 Flash

  • overall performance matters — it scores 50.9 and ranks #14 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

At a glance

The differences that matter most.

GPT-4 Turbo
OpenAI
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
9.0
#283
50.9
#14
Reasoning
9.1
#279
47.4
#26
Coding
7.2
#197
39.3
#16
Cost, coverage & limits
Benchmark wins
—
—
Input price
$10.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
128,000
—

Individual benchmarks

6 reported for GPT-4 Turbo · 11 for Ling 3.1 Flash

No common benchmarks found

GPT-4 Turbo and Ling 3.1 Flashdon'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-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 30 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.5 years ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

2.5yr newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Ling 3.1 Flash's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Ling 3.1 Flash's cutoff date.

GPT-4 Turbo

Dec 2023

Ling 3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4 Turbo and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about GPT-4 Turbo vs Ling 3.1 Flash.

Which is better, GPT-4 Turbo or Ling 3.1 Flash?

Ling 3.1 Flash leads the LLM Stats Score 50.9 to 9.0. GPT-4 Turbo 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-4 Turbo compare to Ling 3.1 Flash in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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-4 Turbo and Ling 3.1 Flash?

GPT-4 Turbo supports 128K 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-4 Turbo and Ling 3.1 Flash?

Key differences include LLM Stats Score (9.0 vs 50.9), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Ling 3.1 Flash?

GPT-4 Turbo is developed by OpenAI and Ling 3.1 Flash is developed by InclusionAI.

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