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Gemini 1.5 Pro vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 12.1. Ling 3.0 Flash Fin is 48.6x cheaper per token.

Google · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 12.1, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 48.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 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 1.5 Pro

  • you process long inputs — it offers a 2,097,152 token context window

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
  • cost matters — it's about 48.6x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
12.1
#253
43.3
#39
Reasoning
11.8
#248
44.7
#32
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.50 / M
$0.06 / M
Output price
$10.00 / M
$0.18 / M
Context window
2,097,152
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.5 Pro
Ling 3.0 Flash Fin
Finance
16.8#108
36.7#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Gemini 1.5 Pro 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

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash Fin costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 41.7x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 55.6x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Ling 3.0 Flash Fin.*

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

Lowest available price from all providers
Tue Sep 08 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Pro supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 29 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.4 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

2.3yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Gemini 1.5 Pro

Nov 2023

Ling 3.0 Flash Fin

—

Provider Availability

Gemini 1.5 Pro is available from Google. Ling 3.0 Flash Fin is available from DeepInfra.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Ling 3.0 Flash Fin

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Ling 3.0 Flash Fin.

Which is better, Gemini 1.5 Pro or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 12.1. Gemini 1.5 Pro 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 1.5 Pro compare to Ling 3.0 Flash Fin in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. 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%.

Is Gemini 1.5 Pro cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 41.7x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Gemini 1.5 Pro and Ling 3.0 Flash Fin?

Gemini 1.5 Pro supports 2.1M 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 1.5 Pro and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (12.1 vs 43.3), context window (2.1M vs 262K), input pricing ($2.50 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 1.5 Pro and Ling 3.0 Flash Fin?

Gemini 1.5 Pro is developed by Google and Ling 3.0 Flash Fin is developed by InclusionAI.

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