The AI arena is free today

Open Superagent

Gemini 1.0 Pro vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -5.3. Ling 3.0 Flash Fin is 8.3x 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 -5.3, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ling 3.0 Flash Fin also accepts a larger context window (262,144 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 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

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 8.3x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
-5.3
#355
43.3
#39
Reasoning
-8.0
#354
44.7
#32
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
$0.06 / M
Output price
$1.50 / M
$0.18 / M
Context window
32,760
262,144

Individual benchmarks

9 reported for Gemini 1.0 Pro · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Gemini 1.0 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 1.0 Pro ($0.50/1M tokens) is 8.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 8.3x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, Gemini 1.0 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 1.0 Pro
Input tokens$0.50
Output tokens$1.50
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

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Tue Sep 08 2026 • llm-stats.com

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 31 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

2.6yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Gemini 1.0 Pro

Feb 2024

Ling 3.0 Flash Fin

—

Provider Availability

Gemini 1.0 Pro is available from Google. Ling 3.0 Flash Fin is available from DeepInfra.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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 1.0 Pro and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs Ling 3.0 Flash Fin.

Which is better, Gemini 1.0 Pro or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -5.3. Gemini 1.0 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 1.0 Pro compare to Ling 3.0 Flash Fin in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. 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 1.0 Pro cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 8.3x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/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 1.0 Pro and Ling 3.0 Flash Fin?

Gemini 1.0 Pro supports 33K 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 1.0 Pro and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (-5.3 vs 43.3), context window (33K vs 262K), input pricing ($0.50 vs $0.06/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Ling 3.0 Flash Fin?

Gemini 1.0 Pro is developed by Google and Ling 3.0 Flash Fin is developed by InclusionAI.

Related comparisons