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Gemini 3.8 Flash vs Ling 3.0 Flash

Gemini 3.8 Flash leads the LLM Stats Score 51.2 to 36.5. Ling 3.0 Flash is 16.7x cheaper per token.

Google · InclusionAI · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.2 to 36.5, ranking #12 overall.

In the 2 individual benchmarks reported for both models, Gemini 3.8 Flash wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Ling 3.0 Flash is roughly 16.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.8 Flash also accepts a larger context window (1,048,576 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 Gemini 3.8 Flash

  • overall performance matters — it scores 51.2 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Ling 3.0 Flash

  • cost matters — it's about 16.7x cheaper per token

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
Ling 3.0 Flash
InclusionAI
Core performance indexes
LLM Stats Score
51.2
#12
36.5
#75
Reasoning
47.5
#23
35.6
#77
Coding
39.3
#14
25.5
#67
Agents
36.1
#16
19.7
#61
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.75 / M
$0.06 / M
Output price
$3.75 / M
$0.18 / M
Context window
1,048,576
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.8 Flash
Ling 3.0 Flash
Tool use
26.9#25
18.1#67
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 19 for Ling 3.0 Flash

2 shared

Gemini 3.8 Flash outperforms in 2 benchmarks (GDPval-AA, Terminal-Bench 2.1), while Ling 3.0 Flash is better at 0 benchmarks.

Gemini 3.8 Flash significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash costs less

For input processing, Gemini 3.8 Flash ($0.75/1M tokens) is 12.5x more expensive than Ling 3.0 Flash ($0.06/1M tokens).

For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 20.8x more expensive than Ling 3.0 Flash ($0.18/1M tokens).

In conclusion, Gemini 3.8 Flash is more expensive than Ling 3.0 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 08 2026 • llm-stats.com
Google
Gemini 3.8 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
InclusionAI
Ling 3.0 Flash
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

Gemini 3.8 Flash accepts 1,048,576 input tokens compared to Ling 3.0 Flash's 131,072 tokens. Ling 3.0 Flash can generate longer responses up to 131,072 tokens, while Gemini 3.8 Flash is limited to 65,536 tokens.

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
InclusionAI
Ling 3.0 Flash
Input131,072 tokens
Output131,072 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.8 Flash supports multimodal inputs, whereas Ling 3.0 Flash does not.

Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash

Text
Images
Audio
Video

Ling 3.0 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Ling 3.0 Flash was released on 2026-08-04.

Gemini 3.8 Flash is 1 month newer than Ling 3.0 Flash.

Gemini 3.8 Flash

Sep 2, 2026

6 days ago

4w newer
Ling 3.0 Flash

Aug 4, 2026

1 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while Ling 3.0 Flash's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Ling 3.0 Flash's cutoff date.

Gemini 3.8 Flash

Mar 2026

Ling 3.0 Flash

—

Provider Availability

Gemini 3.8 Flash is available from Google. Ling 3.0 Flash is available from DeepInfra.

Gemini 3.8 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

Ling 3.0 Flash

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 Gemini 3.8 Flash and Ling 3.0 Flash side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Ling 3.0 Flash
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Ling 3.0 Flash.

Which is better, Gemini 3.8 Flash or Ling 3.0 Flash?

Gemini 3.8 Flash leads the LLM Stats Score 51.2 to 36.5. Gemini 3.8 Flash is made by Google and Ling 3.0 Flash is made by InclusionAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash compare to Ling 3.0 Flash in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. Ling 3.0 Flash scores AIME 2026: 93.2%, Multi-IF: 87.7%, HMMT Feb 26: 87.0%, IMO-AnswerBench: 83.7%, LiveCodeBench v6: 82.8%.

Is Gemini 3.8 Flash cheaper than Ling 3.0 Flash?

Ling 3.0 Flash is 12.5x cheaper for input tokens. Gemini 3.8 Flash costs $0.75/M input and $3.75/M output via google. Ling 3.0 Flash costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Gemini 3.8 Flash and Ling 3.0 Flash?

Gemini 3.8 Flash supports 1.0M tokens and Ling 3.0 Flash supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.8 Flash and Ling 3.0 Flash?

Key differences include LLM Stats Score (51.2 vs 36.5), context window (1.0M vs 131K), input pricing ($0.75 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 Gemini 3.8 Flash and Ling 3.0 Flash?

Gemini 3.8 Flash is developed by Google and Ling 3.0 Flash is developed by InclusionAI.

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