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Granite 3.3 8B Base vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -0.5.

IBM · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to -0.5, ranking #39 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Granite 3.3 8B Base

  • you need open weights you can self-host or fine-tune

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
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Granite 3.3 8B Base
IBM
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
-0.5
#327
43.3
#39
Reasoning
-0.6
#321
44.7
#32
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.06 / M
Output price
— / M
$0.18 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Granite 3.3 8B Base
Ling 3.0 Flash Fin
Finance
-7.2#218
36.7#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for Granite 3.3 8B Base · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Granite 3.3 8B Base 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

Model Size

Parameter count comparison

115.8B diff

Ling 3.0 Flash Fin has 115.8B more parameters than Granite 3.3 8B Base, making it 1417.7% larger.

IBM
Granite 3.3 8B Base
8.2Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
8.2B
Granite 3.3 8B Base
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

IBM
Granite 3.3 8B Base
Input- tokens
Output- 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

Granite 3.3 8B Base supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Granite 3.3 8B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Granite 3.3 8B Base

Text
Images
Audio
Video

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Release Timeline

When each model was launched

Granite 3.3 8B Base was released on 2025-04-16, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 17 months newer than Granite 3.3 8B Base.

Granite 3.3 8B Base

Apr 16, 2025

1.4 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1.4yr newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Granite 3.3 8B Base

Apr 2024

Ling 3.0 Flash Fin

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Granite 3.3 8B Base and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Granite 3.3 8B Base
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Granite 3.3 8B Base vs Ling 3.0 Flash Fin.

Which is better, Granite 3.3 8B Base or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -0.5. Granite 3.3 8B Base is made by IBM 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 Granite 3.3 8B Base compare to Ling 3.0 Flash Fin in benchmarks?

Granite 3.3 8B Base scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, HellaSwag: 80.1%. 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%.

What are the context window sizes for Granite 3.3 8B Base and Ling 3.0 Flash Fin?

Granite 3.3 8B Base supports an unknown number of 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 Granite 3.3 8B Base and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (-0.5 vs 43.3), multimodal support (yes vs no), licensing (Apache 2.0 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Granite 3.3 8B Base and Ling 3.0 Flash Fin?

Granite 3.3 8B Base is developed by IBM and Ling 3.0 Flash Fin is developed by InclusionAI.

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