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GPT-6 Luna vs Ling 3.0 Flash

GPT-6 Luna leads the LLM Stats Score 44.3 to 36.2. Ling 3.0 Flash is 2.2x cheaper per token.

OpenAI · InclusionAI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.3 to 36.2, ranking #42 overall.

On price, Ling 3.0 Flash is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GPT-6 Luna

  • overall performance matters — it scores 44.3 and ranks #42 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Ling 3.0 Flash

  • cost matters — it's about 2.2x cheaper per token

At a glance

The differences that matter most.

Core performance indexes
44.3
#42
36.2
#86
39.8
#61
35.4
#89
31.1
#49
24.9
#77
31.5
#33
19.2
#72
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.06 / M
Output price
$0.50 / M
$0.18 / M
Context window
1,050,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Luna
Ling 3.0 Flash
21.4#52
16.0#88
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Luna · 19 for Ling 3.0 Flash

No common benchmarks found

GPT-6 Luna and Ling 3.0 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

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash costs less

For input processing, GPT-6 Luna ($0.10/1M tokens) is 1.7x more expensive than Ling 3.0 Flash ($0.06/1M tokens).

For output processing, GPT-6 Luna ($0.50/1M tokens) is 2.8x more expensive than Ling 3.0 Flash ($0.18/1M tokens).

In conclusion, GPT-6 Luna is more expensive than Ling 3.0 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
InclusionAI
Ling 3.0 Flash
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6 Luna accepts 1,050,000 input tokens compared to Ling 3.0 Flash's 131,072 tokens. Ling 3.0 Flash can generate longer responses up to 131,072 tokens, while GPT-6 Luna is limited to 128,000 tokens.

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
InclusionAI
Ling 3.0 Flash
Input131,072 tokens
Output131,072 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas Ling 3.0 Flash does not.

GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Luna

Text
Images
Audio
Video

Ling 3.0 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Ling 3.0 Flash was released on 2026-08-04.

GPT-6 Luna is 2 months newer than Ling 3.0 Flash.

GPT-6 Luna

Sep 22, 2026

1 weeks ago

1mo newer
Ling 3.0 Flash

Aug 4, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Ling 3.0 Flash's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Ling 3.0 Flash's cutoff date.

GPT-6 Luna

May 2026

Ling 3.0 Flash

—

Provider Availability

GPT-6 Luna is available from OpenAI. Ling 3.0 Flash is available from DeepInfra.

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Ling 3.0 Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Luna and Ling 3.0 Flash side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Ling 3.0 Flash
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Ling 3.0 Flash.

Which is better, GPT-6 Luna or Ling 3.0 Flash?

GPT-6 Luna leads the LLM Stats Score 44.3 to 36.2. GPT-6 Luna is made by OpenAI and Ling 3.0 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 Luna compare to Ling 3.0 Flash in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. Ling 3.0 Flash scores AIME 2026: 93.2%, Multi-IF: 87.7%, HMMT Feb 26: 87.0%, IMO-AnswerBench: 83.7%, LiveCodeBench v6: 82.8%.

Is GPT-6 Luna cheaper than Ling 3.0 Flash?

Ling 3.0 Flash is 1.7x cheaper for input tokens. GPT-6 Luna costs $0.10/M input and $0.50/M output via openai. Ling 3.0 Flash costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for GPT-6 Luna and Ling 3.0 Flash?

GPT-6 Luna supports 1.1M tokens and Ling 3.0 Flash supports 131K 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 Luna and Ling 3.0 Flash?

Key differences include LLM Stats Score (44.3 vs 36.2), context window (1.1M vs 131K), input pricing ($0.10 vs $0.06/M), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Ling 3.0 Flash?

GPT-6 Luna is developed by OpenAI and Ling 3.0 Flash is developed by InclusionAI.