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GPT OSS 20B High vs Ling 3.1 Flash

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 27.6.

OpenAI · InclusionAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 27.6, ranking #15 overall.

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

Choose GPT OSS 20B High

  • you need open weights you can self-host or fine-tune

Choose Ling 3.1 Flash

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
27.6
#156
51.0
#15
27.7
#148
47.5
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
131,072
—

Individual benchmarks

2 reported for GPT OSS 20B High · 11 for Ling 3.1 Flash

No common benchmarks found

GPT OSS 20B High 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

Model Size

Parameter count comparison

539.1B diff

Ling 3.1 Flash has 539.1B more parameters than GPT OSS 20B High, making it 2579.4% larger.

OpenAI
GPT OSS 20B High
20.9Bparameters
InclusionAI
Ling 3.1 Flash
560.0Bparameters
20.9B
GPT OSS 20B High
560.0B
Ling 3.1 Flash

Context Window

Maximum input and output token capacity

Only GPT OSS 20B High specifies input context (131,072 tokens). Only GPT OSS 20B High specifies output context (131,072 tokens).

OpenAI
GPT OSS 20B High
Input131,072 tokens
Output131,072 tokens
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Release Timeline

When each model was launched

GPT OSS 20B High was released on 2025-08-05, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 14 months newer than GPT OSS 20B High.

GPT OSS 20B High

Aug 5, 2025

1.2 years ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT OSS 20B High and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

GPT OSS 20B High
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about GPT OSS 20B High vs Ling 3.1 Flash.

Which is better, GPT OSS 20B High or Ling 3.1 Flash?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 27.6. GPT OSS 20B High 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 OSS 20B High compare to Ling 3.1 Flash in benchmarks?

GPT OSS 20B High scores AIME 2025: 98.7%, GPQA: 74.2%. 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 OSS 20B High and Ling 3.1 Flash?

GPT OSS 20B High supports 131K 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 OSS 20B High and Ling 3.1 Flash?

Key differences include LLM Stats Score (27.6 vs 51.0), licensing (Apache 2.0 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 20B High and Ling 3.1 Flash?

GPT OSS 20B High is developed by OpenAI and Ling 3.1 Flash is developed by InclusionAI.