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Gemini 4 Argon vs Ling 3.0 Flash

Gemini 4 Argon leads the LLM Stats Score 55.1 to 35.9. Ling 3.0 Flash is 44.4x cheaper per token.

Google · InclusionAI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 35.9, ranking #4 overall.

On price, Ling 3.0 Flash is roughly 44.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 4 Argon also accepts a larger context window (1,048,576 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 Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Ling 3.0 Flash

  • cost matters — it's about 44.4x cheaper per token

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Ling 3.0 Flash
InclusionAI
Core performance indexes
LLM Stats Score
55.1
#4
35.9
#100
Reasoning
53.2
#6
35.2
#99
Coding
42.5
#7
24.4
#90
Agents
41.2
#4
19.0
#88
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
$0.06 / M
Output price
$10.00 / M
$0.18 / M
Context window
1,048,576
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 4 Argon
Ling 3.0 Flash
Tool use
32.3#4
16.3#96
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 19 for Ling 3.0 Flash

No common benchmarks found

Gemini 4 Argon 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, Gemini 4 Argon ($2.00/1M tokens) is 33.3x more expensive than Ling 3.0 Flash ($0.06/1M tokens).

For output processing, Gemini 4 Argon ($10.00/1M tokens) is 55.6x more expensive than Ling 3.0 Flash ($0.18/1M tokens).

In conclusion, Gemini 4 Argon 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 23 2026 • llm-stats.com
Google
Gemini 4 Argon
Input tokens$2.00
Output tokens$10.00
Best providerGoogle
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

Gemini 4 Argon accepts 1,048,576 input tokens compared to Ling 3.0 Flash's 131,072 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while Ling 3.0 Flash is limited to 131,072 tokens.

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
InclusionAI
Ling 3.0 Flash
Input131,072 tokens
Output131,072 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Ling 3.0 Flash does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

Ling 3.0 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Ling 3.0 Flash was released on 2026-08-04.

Gemini 4 Argon is 2 months newer than Ling 3.0 Flash.

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

1mo newer
Ling 3.0 Flash

Aug 4, 2026

2 months ago

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

Provider Availability

Gemini 4 Argon is available from Google. Ling 3.0 Flash is available from DeepInfra.

Gemini 4 Argon

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

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 Gemini 4 Argon and Ling 3.0 Flash side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Ling 3.0 Flash
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Ling 3.0 Flash.

Which is better, Gemini 4 Argon or Ling 3.0 Flash?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 35.9. Gemini 4 Argon is made by Google 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 Gemini 4 Argon compare to Ling 3.0 Flash in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. 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 Gemini 4 Argon cheaper than Ling 3.0 Flash?

Ling 3.0 Flash is 33.3x cheaper for input tokens. Gemini 4 Argon costs $2.00/M input and $10.00/M output via google. Ling 3.0 Flash costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Gemini 4 Argon and Ling 3.0 Flash?

Gemini 4 Argon supports 1.0M 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 Gemini 4 Argon and Ling 3.0 Flash?

Key differences include LLM Stats Score (55.1 vs 35.9), context window (1.0M vs 131K), input pricing ($2.00 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 Gemini 4 Argon and Ling 3.0 Flash?

Gemini 4 Argon is developed by Google and Ling 3.0 Flash is developed by InclusionAI.

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