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Gemini 2.0 Flash Thinking vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 16.8.

Google · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 16.8, ranking #39 overall.

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

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.3 and ranks #39 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.

Gemini 2.0 Flash Thinking
Google
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
16.8
#217
43.3
#39
Reasoning
17.1
#210
44.7
#32
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.06 / M
Output price
— / M
$0.18 / M
Context window
—
262,144

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Gemini 2.0 Flash Thinking and Ling 3.0 Flash Findon'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

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 20 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Ling 3.0 Flash Fin

—

Outputs Comparison

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Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Ling 3.0 Flash Fin.

Which is better, Gemini 2.0 Flash Thinking or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 16.8. Gemini 2.0 Flash Thinking is made by Google and Ling 3.0 Flash Fin 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 2.0 Flash Thinking compare to Ling 3.0 Flash Fin in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Ling 3.0 Flash Fin?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Ling 3.0 Flash Fin supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash Thinking and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (16.8 vs 43.3), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Ling 3.0 Flash Fin?

Gemini 2.0 Flash Thinking is developed by Google and Ling 3.0 Flash Fin is developed by InclusionAI.

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