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Gemma 3n E4B Instructed vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to -4.7. Ling 3.0 Flash Fin is 277.8x cheaper per token.

Google · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.0 to -4.7, ranking #44 overall.

On price, Ling 3.0 Flash Fin is roughly 277.8x 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 Gemma 3n E4B Instructed

  • you want predictable pricing at $20.00/M input and $40.00/M output

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.0 and ranks #44 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 277.8x 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.

Gemma 3n E4B Instructed
Google
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
-4.7
#350
43.0
#44
Reasoning
-5.5
#349
44.2
#35
Cost, coverage & limits
Benchmark wins
—
—
Input price
$20.00 / M
$0.06 / M
Output price
$40.00 / M
$0.18 / M
Context window
32,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E4B Instructed
Ling 3.0 Flash Fin
Finance
-4.4#213
36.7#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemma 3n E4B Instructed · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Gemma 3n E4B Instructed 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, Gemma 3n E4B Instructed ($20.00/1M tokens) is 333.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 222.2x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, Gemma 3n E4B Instructed 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
Sun Sep 20 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

116.0B diff

Ling 3.0 Flash Fin has 116.0B more parameters than Gemma 3n E4B Instructed, making it 1450.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
8.0B
Gemma 3n E4B Instructed
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E4B Instructed supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 14 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

1.2 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Ling 3.0 Flash Fin

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. Ling 3.0 Flash Fin is available from DeepInfra.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

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 Gemma 3n E4B Instructed and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Gemma 3n E4B Instructed
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Gemma 3n E4B Instructed vs Ling 3.0 Flash Fin.

Which is better, Gemma 3n E4B Instructed or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to -4.7. Gemma 3n E4B Instructed 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 Gemma 3n E4B Instructed compare to Ling 3.0 Flash Fin in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. 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 Gemma 3n E4B Instructed cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 333.3x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Gemma 3n E4B Instructed and Ling 3.0 Flash Fin?

Gemma 3n E4B Instructed supports 32K 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 Gemma 3n E4B Instructed and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (-4.7 vs 43.0), context window (32K vs 262K), input pricing ($20.00 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 Gemma 3n E4B Instructed and Ling 3.0 Flash Fin?

Gemma 3n E4B Instructed is developed by Google and Ling 3.0 Flash Fin is developed by InclusionAI.

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