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GPT-4.1 nano vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 1.7. Ling 3.0 Flash Fin is 1.9x cheaper per token.

OpenAI · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 1.7, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 nano also accepts a larger context window (1,047,576 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 GPT-4.1 nano

  • you process long inputs — it offers a 1,047,576 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 1.9x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GPT-4.1 nano
OpenAI
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
1.7
#318
43.3
#39
Reasoning
2.0
#306
44.7
#32
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.06 / M
Output price
$0.40 / M
$0.18 / M
Context window
1,047,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4.1 nano
Ling 3.0 Flash Fin
Tool use
-10.4#192
20.5#56
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for GPT-4.1 nano · 6 for Ling 3.0 Flash Fin

No common benchmarks found

GPT-4.1 nano 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, GPT-4.1 nano ($0.10/1M tokens) is 1.7x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, GPT-4.1 nano ($0.40/1M tokens) is 2.2x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, GPT-4.1 nano 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
Thu Sep 10 2026 • llm-stats.com
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
Best providerOpenAI
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

GPT-4.1 nano accepts 1,047,576 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 GPT-4.1 nano is limited to 32,768 tokens.

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 nano supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1 nano

Text
Images
Audio
Video

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 17 months newer than GPT-4.1 nano.

GPT-4.1 nano

Apr 14, 2025

1.4 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

6 days ago

1.4yr newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

GPT-4.1 nano

May 2024

Ling 3.0 Flash Fin

—

Provider Availability

GPT-4.1 nano is available from OpenAI. Ling 3.0 Flash Fin is available from DeepInfra.

GPT-4.1 nano

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

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 GPT-4.1 nano and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

GPT-4.1 nano
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about GPT-4.1 nano vs Ling 3.0 Flash Fin.

Which is better, GPT-4.1 nano or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 1.7. GPT-4.1 nano is made by OpenAI 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 GPT-4.1 nano compare to Ling 3.0 Flash Fin in benchmarks?

GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. 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 GPT-4.1 nano cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 1.7x cheaper for input tokens. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for GPT-4.1 nano and Ling 3.0 Flash Fin?

GPT-4.1 nano supports 1.0M 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 GPT-4.1 nano and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (1.7 vs 43.3), context window (1.0M vs 262K), 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-4.1 nano and Ling 3.0 Flash Fin?

GPT-4.1 nano is developed by OpenAI and Ling 3.0 Flash Fin is developed by InclusionAI.

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