Ling 3.1 Flash
InclusionAI · released Oct 2, 2026
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
Specification
- Context window
- 262K
- Max output
- 236K
- Knowledge cutoff
- Not stated
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 2
- Moderated
- No
- Uptime
- 100.0%
Intelligence
41.1
92th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
62 t/s
Median across providers
Latency
1.04s
Time to first token
Cost per task
$0.02
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- AA-LCR (long context)83.0%
- SciCode54.1%
- Humanity's Last Exam39.4%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| AA-LCR (long context) | 83.0% |
| SciCode | 54.1% |
| Humanity's Last Exam | 39.4% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- GPT-5.6 TerraOpenAI42.1
- GLM 5.3 FlashZ.ai41.8
- Claude Opus 4.8Anthropic41.8
- Nex-N2-ProNex AGI41.7
- Ling 3.1 FlashInclusionAI41.1
- 41.1
- Gemini 3.8 FlashGoogle40.9
- Claude Opus 4.7Anthropic40.7
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| GPT-5.6 Terra | 42.1 |
| GLM 5.3 Flash | 41.8 |
| Claude Opus 4.8 | 41.8 |
| Nex-N2-Pro | 41.7 |
| Ling 3.1 Flash | 41.1 |
| Qwen3.6 Max Preview | 41.1 |
| Gemini 3.8 Flash | 40.9 |
| Claude Opus 4.7 | 40.7 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.075
- Output / 1M tokens
- $0.225
- Cached input / 1M
- $0.015
- Blended 3:1
- $0.112
One task, estimated
$0.02
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).