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GPT-3.5 Turbo vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -9.3. Ling 3.0 Flash Fin is 8.3x 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 -9.3, 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 GPT-3.5 Turbo

  • 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.

GPT-3.5 Turbo
OpenAI
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
-9.3
#362
43.3
#39
Reasoning
-8.6
#355
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
16,385
262,144

Individual benchmarks

8 reported for GPT-3.5 Turbo · 6 for Ling 3.0 Flash Fin

No common benchmarks found

GPT-3.5 Turbo 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-3.5 Turbo ($0.50/1M tokens) is 8.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 8.3x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, GPT-3.5 Turbo 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
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
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-3.5 Turbo's 16,385 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 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

GPT-3.5 Turbo was released on 2023-03-21, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 42 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

3.5yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

GPT-3.5 Turbo

Sep 2021

Ling 3.0 Flash Fin

—

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. Ling 3.0 Flash Fin is available from DeepInfra.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
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 GPT-3.5 Turbo and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs Ling 3.0 Flash Fin.

Which is better, GPT-3.5 Turbo or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -9.3. GPT-3.5 Turbo 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-3.5 Turbo compare to Ling 3.0 Flash Fin in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. 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-3.5 Turbo cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 8.3x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. 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-3.5 Turbo and Ling 3.0 Flash Fin?

GPT-3.5 Turbo supports 16K 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-3.5 Turbo and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (-9.3 vs 43.3), context window (16K 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 GPT-3.5 Turbo and Ling 3.0 Flash Fin?

GPT-3.5 Turbo is developed by OpenAI and Ling 3.0 Flash Fin is developed by InclusionAI.

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