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Ling 3.1 Flash vs o3-mini

Ling 3.1 Flash leads the LLM Stats Score 51.1 to 21.4.

InclusionAI · OpenAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.1 to 21.4, 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 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

Choose o3-mini

  • you want predictable pricing at $1.10/M input and $4.40/M output

At a glance

The differences that matter most.

Core performance indexes
51.1
#14
21.4
#201
47.7
#25
20.5
#200
39.2
#17
5.0
#216
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.1 Flash
o3-mini
29.0#13
-0.1#192
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Ling 3.1 Flash · 25 for o3-mini

1 shared

Ling 3.1 Flash outperforms in 1 benchmarks (Multi-Challenge), while o3-mini is better at 0 benchmarks.

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 o3-mini specifies input context (200,000 tokens). Only o3-mini specifies output context (100,000 tokens).

InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Wed Oct 07 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.1 Flash was released on 2026-09-30, while o3-mini was released on 2025-01-30.

Ling 3.1 Flash is 20 months newer than o3-mini.

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

1.7yr newer
o3-mini

Jan 30, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while Ling 3.1 Flash's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Ling 3.1 Flash's cutoff date.

Ling 3.1 Flash

—

o3-mini

Sep 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ling 3.1 Flash and o3-mini side-by-side, then vote on the output you prefer.

Ling 3.1 Flash
✓ Preferred
o3-mini
Open in Playground

FAQ

Common questions about Ling 3.1 Flash vs o3-mini.

Which is better, Ling 3.1 Flash or o3-mini?

Ling 3.1 Flash leads the LLM Stats Score 51.1 to 21.4. Ling 3.1 Flash is made by InclusionAI and o3-mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ling 3.1 Flash compare to o3-mini in benchmarks?

Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.

What are the context window sizes for Ling 3.1 Flash and o3-mini?

Ling 3.1 Flash supports an unknown number of tokens and o3-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ling 3.1 Flash and o3-mini?

Key differences include LLM Stats Score (51.1 vs 21.4), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.1 Flash and o3-mini?

Ling 3.1 Flash is developed by InclusionAI and o3-mini is developed by OpenAI.