Model vs model
Gemini 3.8 Flash vs Ling 3.1 Flash
Ling 3.1 Flash leads most clearly on Terminal-Bench 4.0, scoring 32.8 against 19.7 for Gemini 3.8 Flash. It also has the higher Intelligence Index score (43.9 to 40.9) and costs less, at $0.45 per 1M tokens blended against $1.50. Gemini 3.8 Flash suits hard reasoning, scoring 47.8 on Humanity's Last Exam to 43.5, and work with images, video, audio and PDFs.
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 3.8 Flash ranks 16th 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 3.8 Flash.
Which one to pick
Pick Gemini 3.8 Flash 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 $1.50 per 1M tokens blended)
- you want the higher overall score (43.9 vs 40.9)
- you care about Terminal-Bench 4.0 (terminal tasks): 32.8 vs 19.7
- you want open weights you can run yourself
How smart is each one?
Of the 10 scores both models have, Gemini 3.8 Flash is ahead on 4 and Ling 3.1 Flash on 4, and 2 are within a point.
Every intelligence score we have
Out of 100, higher is better. Gemini 3.8 Flash Ling 3.1 Flash
Overall
Intelligence Index
40.943.9
By area
Coding
76.3Ling 3.1 Flash: not scored yet
Agentic work
40.2Ling 3.1 Flash: not scored yet
By field of work
Finance & accounting
46.845.5Legal
51.641.6Healthcare & medicine
40.1Ling 3.1 Flash: not scored yet
Economics
52.449.9Engineering
42.844.3Strategy & operations
48.4 · 47.9
Benchmarks
Factual knowledge · SimpleQA
69.7Ling 3.1 Flash: not scored yet
Hard reasoning · Humanity's Last Exam
47.843.5Science · GPQA Diamond
95.3Ling 3.1 Flash: not scored yet
Scientific coding · SciCode
56.6 · 56.8Terminal tasks · Terminal-Bench 4.0
19.732.8Tool use · τ-Bench Banking
44.9Ling 3.1 Flash: not scored yet
Long documents · AA-LCR
81.382.3Uncensored · UGI
46.7Ling 3.1 Flash: not scored yet
Our tests
Hallucination test · our test, higher means it made up less
77Ling 3.1 Flash: not scored yet
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
100Ling 3.1 Flash: not scored yet
The specs
| Spec | Gemini 3.8 Flash | Ling 3.1 Flash |
|---|---|---|
| Input price | $0.75 per 1M | $0.30 per 1M |
| Output price | $3.75 per 1M | $0.90 per 1M |
| Cost per test task | $1.24 | 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 | Sep 2026 | Sep 2026 |
| Knowledge cutoff | Not published | 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 3.8 Flash 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 $0.75 and $3.75 for Gemini 3.8 Flash. Blended 3 parts input to 1 part output, that is $0.45 against $1.50 per 1M tokens.
Which is smarter, Gemini 3.8 Flash or Ling 3.1 Flash?
Ling 3.1 Flash scores higher on the Artificial Analysis Intelligence Index, 43.9 against 40.9 for Gemini 3.8 Flash. The biggest differences are on Terminal-Bench 4.0 (19.7 vs 32.8) and Humanity's Last Exam (47.8 vs 43.5).
Which has the longer context window?
Gemini 3.8 Flash accepts 1.05M tokens, against 262K for Ling 3.1 Flash.
Can I compare Gemini 3.8 Flash 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.