The AI arena is free today

Open Superagent

GPT-5 vs Ling 3.1 Flash

Ling 3.1 Flash leads the LLM Stats Score 51.1 to 33.7.

OpenAI · InclusionAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.1 to 33.7, ranking #14 overall.

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-5

  • you want predictable pricing at $1.25/M input and $10.00/M output

Choose Ling 3.1 Flash

  • overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • 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-5
OpenAI
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
33.7
#110
51.1
#14
Reasoning
34.1
#101
47.7
#25
Coding
26.2
#76
39.2
#17
Agents
9.1
#139
38.3
#11
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5
Ling 3.1 Flash
Tool use
16.1#90
29.0#13
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

34 reported for GPT-5 · 11 for Ling 3.1 Flash

1 shared

GPT-5 outperforms in 0 benchmarks, while Ling 3.1 Flash is better at 1 benchmark (Multi-Challenge).

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-5 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).

OpenAI
GPT-5
Input400,000 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-5 supports multimodal inputs, whereas Ling 3.1 Flash does not.

GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5

Text
Images
Audio
Video

Ling 3.1 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 14 months newer than GPT-5.

GPT-5

Aug 7, 2025

1.2 years ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

1.1yr newer

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while Ling 3.1 Flash's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Ling 3.1 Flash's cutoff date.

GPT-5

Sep 2024

Ling 3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5 and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

GPT-5
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about GPT-5 vs Ling 3.1 Flash.

Which is better, GPT-5 or Ling 3.1 Flash?

Ling 3.1 Flash leads the LLM Stats Score 51.1 to 33.7. GPT-5 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 compare to Ling 3.1 Flash in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. 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-5 and Ling 3.1 Flash?

GPT-5 supports 400K 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 and Ling 3.1 Flash?

Key differences include LLM Stats Score (33.7 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-5 and Ling 3.1 Flash?

GPT-5 is developed by OpenAI and Ling 3.1 Flash is developed by InclusionAI.

Related comparisons