Model vs model
Gemini 3.5 Flash Lite vs Ling 3.1 Flash
Both models accept text and charge $0.30 per 1M tokens for input. The difference that decides it is quality and cost: Ling 3.1 Flash scores 43.9 on the Intelligence Index against 22.2 for Gemini 3.5 Flash Lite, and costs $0.45 per 1M tokens blended against $0.85. Pick Gemini 3.5 Flash Lite if you need images, video, audio, PDFs or its 1.05M token context window.
At a glance
Longer bar means the bigger number.
Blended price · per 1M tokens, lower is better
Intelligence Index · Artificial Analysis, higher is better
Context window · tokens it can read at once
Where they sit among all 44 models
Gemini 3.5 Flash Lite ranks 31st of the 43 models with an Intelligence Index, Ling 3.1 Flash 12th. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with Gemini 3.5 Flash Lite.
Which one to pick
Pick Gemini 3.5 Flash Lite if
- you need a longer context window (1.05M vs 262K tokens)
- you need to send images, video, audio and PDFs
Pick Ling 3.1 Flash if
- you want the lower bill ($0.45 vs $0.85 per 1M tokens blended)
- you want the higher overall score (43.9 vs 22.2)
- you care about Terminal-Bench 4.0 (terminal tasks): 32.8 vs 1
- you care about Humanity's Last Exam (hard reasoning): 43.5 vs 18.8
How smart is each one?
Of the 10 scores both models have, Ling 3.1 Flash is ahead on every one.
Every intelligence score we have
Out of 100, higher is better. Gemini 3.5 Flash Lite Ling 3.1 Flash
Overall
Intelligence Index
22.243.9
By area
Coding
49.3Ling 3.1 Flash: not scored yet
Agentic work
14.3Ling 3.1 Flash: not scored yet
By field of work
Finance & accounting
23.545.5Legal
30.341.6Healthcare & medicine
23.6Ling 3.1 Flash: not scored yet
Economics
31.449.9Engineering
24.444.3Strategy & operations
22.447.9
Benchmarks
Hard reasoning · Humanity's Last Exam
18.843.5Science · GPQA Diamond
83.8Ling 3.1 Flash: not scored yet
Scientific coding · SciCode
41.356.8Terminal tasks · Terminal-Bench 4.0
132.8Tool use · τ-Bench Banking
17.5Ling 3.1 Flash: not scored yet
Long documents · AA-LCR
7682.3
Our tests
Rule that has to last 4 turns · our test, % of tries passed
100Ling 3.1 Flash: not scored yet
Three bullets, no letter e · our test, % of tries passed
33Ling 3.1 Flash: not scored yet
The specs
| Spec | Gemini 3.5 Flash Lite | Ling 3.1 Flash |
|---|---|---|
| Input price | $0.30 per 1M | $0.30 per 1M |
| Output price | $2.50 per 1M | $0.90 per 1M |
| Cost per test task | $0.1927 | Not tested |
| Context window | 1.05M | 262K |
| Max output | 66K | 33K |
| Accepts | Text, Image, Video, Audio, PDF | Text |
| Open weights | No | Yes |
| Lab | InclusionAI | |
| Released | Jul 2026 | Sep 2026 |
| Knowledge cutoff | Mar 2026 | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.
Questions
Is Gemini 3.5 Flash Lite or Ling 3.1 Flash cheaper?
Ling 3.1 Flash is cheaper. It charges $0.30 per 1M input tokens and $0.90 per 1M output tokens, against $0.30 and $2.50 for Gemini 3.5 Flash Lite. Blended 3 parts input to 1 part output, that is $0.45 against $0.85 per 1M tokens.
Which is smarter, Gemini 3.5 Flash Lite or Ling 3.1 Flash?
Ling 3.1 Flash scores higher on the Artificial Analysis Intelligence Index, 43.9 against 22.2 for Gemini 3.5 Flash Lite. The biggest differences are on Terminal-Bench 4.0 (1 vs 32.8) and Humanity's Last Exam (18.8 vs 43.5).
Which has the longer context window?
Gemini 3.5 Flash Lite accepts 1.05M tokens, against 262K for Ling 3.1 Flash.
Can I compare Gemini 3.5 Flash Lite and Ling 3.1 Flash on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 25, 2026.