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GPT-5.3 Chat vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 29.6. Ling 3.0 Flash Fin is 53.5x 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 29.6, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 53.5x 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 GPT-5.3 Chat

  • you want predictable pricing at $1.75/M input and $14.00/M output

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
  • cost matters — it's about 53.5x 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.

GPT-5.3 Chat
OpenAI
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
29.6
#125
43.3
#39
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.75 / M
$0.06 / M
Output price
$14.00 / M
$0.18 / M
Context window
128,000
262,144

Individual benchmarks

2 reported for GPT-5.3 Chat · 6 for Ling 3.0 Flash Fin

No common benchmarks found

GPT-5.3 Chat 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-5.3 Chat ($1.75/1M tokens) is 29.2x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, GPT-5.3 Chat ($14.00/1M tokens) is 77.8x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, GPT-5.3 Chat 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
Wed Sep 09 2026 • llm-stats.com
OpenAI
GPT-5.3 Chat
Input tokens$1.75
Output tokens$14.00
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

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to GPT-5.3 Chat's 128,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while GPT-5.3 Chat is limited to 16,384 tokens.

OpenAI
GPT-5.3 Chat
Input128,000 tokens
Output16,384 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

GPT-5.3 Chat supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

GPT-5.3 Chat can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.3 Chat

Text
Images
Audio
Video

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-5.3 Chat was released on 2026-03-04, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 6 months newer than GPT-5.3 Chat.

GPT-5.3 Chat

Mar 4, 2026

6 months ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-5.3 Chat has a documented knowledge cutoff of 2025-08-31, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm GPT-5.3 Chat's training data extends to 2025-08-31, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

GPT-5.3 Chat

Aug 2025

Ling 3.0 Flash Fin

—

Provider Availability

GPT-5.3 Chat is available from OpenAI. Ling 3.0 Flash Fin is available from DeepInfra.

GPT-5.3 Chat

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

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 GPT-5.3 Chat and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

GPT-5.3 Chat
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about GPT-5.3 Chat vs Ling 3.0 Flash Fin.

Which is better, GPT-5.3 Chat or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 29.6. GPT-5.3 Chat 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-5.3 Chat compare to Ling 3.0 Flash Fin in benchmarks?

GPT-5.3 Chat scores HealthBench: 54.1%, HealthBench Hard: 25.9%. 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-5.3 Chat cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 29.2x cheaper for input tokens. GPT-5.3 Chat costs $1.75/M input and $14.00/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-5.3 Chat and Ling 3.0 Flash Fin?

GPT-5.3 Chat supports 128K 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-5.3 Chat and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (29.6 vs 43.3), context window (128K vs 262K), input pricing ($1.75 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-5.3 Chat and Ling 3.0 Flash Fin?

GPT-5.3 Chat is developed by OpenAI and Ling 3.0 Flash Fin is developed by InclusionAI.

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